*
* The functions are:
* classical polylogarithm Li(n,x)
- * multiple polylogarithm Li(lst(m_1,...,m_k),lst(x_1,...,x_k))
- * nielsen's generalized polylogarithm S(n,p,x)
- * harmonic polylogarithm H(m,x) or H(lst(m_1,...,m_k),x)
- * multiple zeta value zeta(m) or zeta(lst(m_1,...,m_k))
- * alternating Euler sum zeta(m,s) or zeta(lst(m_1,...,m_k),lst(s_1,...,s_k))
+ * multiple polylogarithm Li(lst{m_1,...,m_k},lst{x_1,...,x_k})
+ * G(lst{a_1,...,a_k},y) or G(lst{a_1,...,a_k},lst{s_1,...,s_k},y)
+ * Nielsen's generalized polylogarithm S(n,p,x)
+ * harmonic polylogarithm H(m,x) or H(lst{m_1,...,m_k},x)
+ * multiple zeta value zeta(m) or zeta(lst{m_1,...,m_k})
+ * alternating Euler sum zeta(m,s) or zeta(lst{m_1,...,m_k},lst{s_1,...,s_k})
*
* Some remarks:
*
* [Cra] Fast Evaluation of Multiple Zeta Sums, R.E.Crandall, Math.Comp. 67 (1998), pp. 1163-1172.
* [ReV] Harmonic Polylogarithms, E.Remiddi, J.A.M.Vermaseren, Int.J.Mod.Phys. A15 (2000), pp. 725-754
* [BBB] Special Values of Multiple Polylogarithms, J.Borwein, D.Bradley, D.Broadhurst, P.Lisonek, Trans.Amer.Math.Soc. 353/3 (2001), pp. 907-941
+ * [VSW] Numerical evaluation of multiple polylogarithms, J.Vollinga, S.Weinzierl, hep-ph/0410259
*
* - The order of parameters and arguments of Li and zeta is defined according to the nested sums
* representation. The parameters for H are understood as in [ReV]. They can be in expanded --- only
* 0, 1 and -1 --- or in compactified --- a string with zeros in front of 1 or -1 is written as a single
* number --- notation.
*
- * - Except for the multiple polylogarithm all functions can be nummerically evaluated with arguments in
- * the whole complex plane. Multiple polylogarithms evaluate only if for each argument x_i the product
- * x_1 * x_2 * ... * x_i is smaller than one. The parameters for Li, zeta and S must be positive integers.
- * If you want to have an alternating Euler sum, you have to give the signs of the parameters as a
- * second argument s to zeta(m,s) containing 1 and -1.
+ * - All functions can be numerically evaluated with arguments in the whole complex plane. The parameters
+ * for Li, zeta and S must be positive integers. If you want to have an alternating Euler sum, you have
+ * to give the signs of the parameters as a second argument s to zeta(m,s) containing 1 and -1.
*
- * - The calculation of classical polylogarithms is speed up by using Bernoulli numbers and
+ * - The calculation of classical polylogarithms is speeded up by using Bernoulli numbers and
* look-up tables. S uses look-up tables as well. The zeta function applies the algorithms in
- * [Cra] and [BBB] for speed up.
+ * [Cra] and [BBB] for speed up. Multiple polylogarithms use Hoelder convolution [BBB].
*
- * - The functions have no series expansion into nested sums. To do this, you have to convert these functions
- * into the appropriate objects from the nestedsums library, do the expansion and convert the
- * result back.
+ * - The functions have no means to do a series expansion into nested sums. To do this, you have to convert
+ * these functions into the appropriate objects from the nestedsums library, do the expansion and convert
+ * the result back.
*
* - Numerical testing of this implementation has been performed by doing a comparison of results
* between this software and the commercial M.......... 4.1. Multiple zeta values have been checked
* by means of evaluations into simple zeta values. Harmonic polylogarithms have been checked by
* comparison to S(n,p,x) for corresponding parameter combinations and by continuity checks
- * around |x|=1 along with comparisons to corresponding zeta functions.
+ * around |x|=1 along with comparisons to corresponding zeta functions. Multiple polylogarithms were
+ * checked against H and zeta and by means of shuffle and quasi-shuffle relations.
*
*/
/*
- * GiNaC Copyright (C) 1999-2003 Johannes Gutenberg University Mainz, Germany
+ * GiNaC Copyright (C) 1999-2021 Johannes Gutenberg University Mainz, Germany
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
-#include <stdexcept>
-#include <vector>
-#include <cln/cln.h>
-
#include "inifcns.h"
#include "add.h"
#include "utils.h"
#include "wildcard.h"
+#include <cln/cln.h>
+#include <sstream>
+#include <stdexcept>
+#include <vector>
+#include <cmath>
namespace GiNaC {
// lookup table for factors built from Bernoulli numbers
// see fill_Xn()
-std::vector<std::vector<cln::cl_N> > Xn;
+std::vector<std::vector<cln::cl_N>> Xn;
+// initial size of Xn that should suffice for 32bit machines (must be even)
+const int xninitsizestep = 26;
+int xninitsize = xninitsizestep;
int xnsize = 0;
// The second index in Xn corresponds to the index from the actual sum.
void fill_Xn(int n)
{
- // rule of thumb. needs to be improved. TODO
- const int initsize = Digits * 3 / 2;
-
if (n>1) {
// calculate X_2 and higher (corresponding to Li_4 and higher)
- std::vector<cln::cl_N> buf(initsize);
- std::vector<cln::cl_N>::iterator it = buf.begin();
+ std::vector<cln::cl_N> buf(xninitsize);
+ auto it = buf.begin();
cln::cl_N result;
*it = -(cln::expt(cln::cl_I(2),n+1) - 1) / cln::expt(cln::cl_I(2),n+1); // i == 1
it++;
- for (int i=2; i<=initsize; i++) {
+ for (int i=2; i<=xninitsize; i++) {
if (i&1) {
result = 0; // k == 0
} else {
Xn.push_back(buf);
} else if (n==1) {
// special case to handle the X_0 correct
- std::vector<cln::cl_N> buf(initsize);
- std::vector<cln::cl_N>::iterator it = buf.begin();
+ std::vector<cln::cl_N> buf(xninitsize);
+ auto it = buf.begin();
cln::cl_N result;
*it = cln::cl_I(-3)/cln::cl_I(4); // i == 1
it++;
*it = cln::cl_I(17)/cln::cl_I(36); // i == 2
it++;
- for (int i=3; i<=initsize; i++) {
+ for (int i=3; i<=xninitsize; i++) {
if (i & 1) {
result = -Xn[0][(i-3)/2]/2;
*it = (cln::binomial(i,1)/cln::cl_I(2) + cln::binomial(i,i-1)/cln::cl_I(i))*result;
Xn.push_back(buf);
} else {
// calculate X_0
- std::vector<cln::cl_N> buf(initsize/2);
- std::vector<cln::cl_N>::iterator it = buf.begin();
- for (int i=1; i<=initsize/2; i++) {
+ std::vector<cln::cl_N> buf(xninitsize/2);
+ auto it = buf.begin();
+ for (int i=1; i<=xninitsize/2; i++) {
*it = bernoulli(i*2).to_cl_N();
it++;
}
xnsize++;
}
+// doubles the number of entries in each Xn[]
+void double_Xn()
+{
+ const int pos0 = xninitsize / 2;
+ // X_0
+ for (int i=1; i<=xninitsizestep/2; ++i) {
+ Xn[0].push_back(bernoulli((i+pos0)*2).to_cl_N());
+ }
+ if (Xn.size() > 1) {
+ int xend = xninitsize + xninitsizestep;
+ cln::cl_N result;
+ // X_1
+ for (int i=xninitsize+1; i<=xend; ++i) {
+ if (i & 1) {
+ result = -Xn[0][(i-3)/2]/2;
+ Xn[1].push_back((cln::binomial(i,1)/cln::cl_I(2) + cln::binomial(i,i-1)/cln::cl_I(i))*result);
+ } else {
+ result = Xn[0][i/2-1] + Xn[0][i/2-1]/(i+1);
+ for (int k=1; k<i/2; k++) {
+ result = result + cln::binomial(i,k*2) * Xn[0][k-1] * Xn[0][i/2-k-1] / (k*2+1);
+ }
+ Xn[1].push_back(result);
+ }
+ }
+ // X_n
+ for (size_t n=2; n<Xn.size(); ++n) {
+ for (int i=xninitsize+1; i<=xend; ++i) {
+ if (i & 1) {
+ result = 0; // k == 0
+ } else {
+ result = Xn[0][i/2-1]; // k == 0
+ }
+ for (int k=1; k<i-1; ++k) {
+ if ( !(((i-k) & 1) && ((i-k) > 1)) ) {
+ result = result + cln::binomial(i,k) * Xn[0][(i-k)/2-1] * Xn[n-1][k-1] / (k+1);
+ }
+ }
+ result = result - cln::binomial(i,i-1) * Xn[n-1][i-2] / 2 / i; // k == i-1
+ result = result + Xn[n-1][i-1] / (i+1); // k == i
+ Xn[n].push_back(result);
+ }
+ }
+ }
+ xninitsize += xninitsizestep;
+}
+
// calculates Li(2,x) without Xn
cln::cl_N Li2_do_sum(const cln::cl_N& x)
{
cln::cl_N res = x;
cln::cl_N resbuf;
- cln::cl_N num = x;
+ cln::cl_N num = x * cln::cl_float(1, cln::float_format(Digits));
cln::cl_I den = 1; // n^2 = 1
unsigned i = 3;
do {
cln::cl_N Li2_do_sum_Xn(const cln::cl_N& x)
{
std::vector<cln::cl_N>::const_iterator it = Xn[0].begin();
+ std::vector<cln::cl_N>::const_iterator xend = Xn[0].end();
cln::cl_N u = -cln::log(1-x);
- cln::cl_N factor = u;
- cln::cl_N res = u - u*u/4;
+ cln::cl_N factor = u * cln::cl_float(1, cln::float_format(Digits));
+ cln::cl_N uu = cln::square(u);
+ cln::cl_N res = u - uu/4;
cln::cl_N resbuf;
unsigned i = 1;
do {
resbuf = res;
- factor = factor * u*u / (2*i * (2*i+1));
+ factor = factor * uu / (2*i * (2*i+1));
res = res + (*it) * factor;
- it++; // should we check it? or rely on initsize? ...
i++;
+ if (++it == xend) {
+ double_Xn();
+ it = Xn[0].begin() + (i-1);
+ xend = Xn[0].end();
+ }
} while (res != resbuf);
return res;
}
// calculates Li(n,x), n>2 without Xn
cln::cl_N Lin_do_sum(int n, const cln::cl_N& x)
{
- cln::cl_N factor = x;
+ cln::cl_N factor = x * cln::cl_float(1, cln::float_format(Digits));
cln::cl_N res = x;
cln::cl_N resbuf;
int i=2;
cln::cl_N Lin_do_sum_Xn(int n, const cln::cl_N& x)
{
std::vector<cln::cl_N>::const_iterator it = Xn[n-2].begin();
+ std::vector<cln::cl_N>::const_iterator xend = Xn[n-2].end();
cln::cl_N u = -cln::log(1-x);
- cln::cl_N factor = u;
+ cln::cl_N factor = u * cln::cl_float(1, cln::float_format(Digits));
cln::cl_N res = u;
cln::cl_N resbuf;
unsigned i=2;
resbuf = res;
factor = factor * u / i;
res = res + (*it) * factor;
- it++; // should we check it? or rely on initsize? ...
i++;
+ if (++it == xend) {
+ double_Xn();
+ it = Xn[n-2].begin() + (i-2);
+ xend = Xn[n-2].end();
+ }
} while (res != resbuf);
return res;
}
// forward declaration needed by function Li_projection and C below
-numeric S_num(int n, int p, const numeric& x);
+const cln::cl_N S_num(int n, int p, const cln::cl_N& x);
// helper function for classical polylog Li
// the switching point was empirically determined. the optimal point
// depends on hardware, Digits, ... so an approx value is okay.
// it solves also the problem with precision due to the u=-log(1-x) transformation
- if (cln::abs(cln::realpart(x)) < 0.25) {
-
+ if (cln::abs(x) < 0.25) {
return Li2_do_sum(x);
} else {
+ // Li2_do_sum practically doesn't converge near x == ±I
return Li2_do_sum_Xn(x);
}
} else {
// choose the faster algorithm
if (cln::abs(cln::realpart(x)) > 0.75) {
- return -Li2_do_sum(1-x) - cln::log(x) * cln::log(1-x) + cln::zeta(2);
+ if ( x == 1 ) {
+ return cln::zeta(2);
+ } else {
+ return -Li2_do_sum(1-x) - cln::log(x) * cln::log(1-x) + cln::zeta(2);
+ }
} else {
return -Li2_do_sum_Xn(1-x) - cln::log(x) * cln::log(1-x) + cln::zeta(2);
}
if (cln::realpart(x) < 0.5) {
// choose the faster algorithm
// with n>=12 the "normal" summation always wins against the method with Xn
- if ((cln::abs(cln::realpart(x)) < 0.3) || (n >= 12)) {
+ if ((cln::abs(x) < 0.3) || (n >= 12)) {
return Lin_do_sum(n, x);
} else {
+ // Li2_do_sum practically doesn't converge near x == ±I
return Lin_do_sum_Xn(n, x);
}
} else {
- cln::cl_N result = -cln::expt(cln::log(x), n-1) * cln::log(1-x) / cln::factorial(n-1);
+ cln::cl_N result = 0;
+ if ( x != 1 ) result = -cln::expt(cln::log(x), n-1) * cln::log(1-x) / cln::factorial(n-1);
for (int j=0; j<n-1; j++) {
- result = result + (S_num(n-j-1, 1, 1).to_cl_N() - S_num(1, n-j-1, 1-x).to_cl_N())
+ result = result + (S_num(n-j-1, 1, 1) - S_num(1, n-j-1, 1-x))
* cln::expt(cln::log(x), j) / cln::factorial(j);
}
return result;
}
}
-
// helper function for classical polylog Li
-numeric Li_num(int n, const numeric& x)
+const cln::cl_N Lin_numeric(const int n, const cln::cl_N& x)
{
if (n == 1) {
// just a log
- return -cln::log(1-x.to_cl_N());
+ return -cln::log(1-x);
}
- if (x.is_zero()) {
+ if (zerop(x)) {
return 0;
}
if (x == 1) {
// [Kol] (2.22)
return -(1-cln::expt(cln::cl_I(2),1-n)) * cln::zeta(n);
}
-
+ if (cln::abs(realpart(x)) < 0.4 && cln::abs(cln::abs(x)-1) < 0.01) {
+ cln::cl_N result = -cln::expt(cln::log(x), n-1) * cln::log(1-x) / cln::factorial(n-1);
+ for (int j=0; j<n-1; j++) {
+ result = result + (S_num(n-j-1, 1, 1) - S_num(1, n-j-1, 1-x))
+ * cln::expt(cln::log(x), j) / cln::factorial(j);
+ }
+ return result;
+ }
+
// what is the desired float format?
// first guess: default format
cln::float_format_t prec = cln::default_float_format;
- const cln::cl_N value = x.to_cl_N();
+ const cln::cl_N value = x;
// second guess: the argument's format
- if (!x.real().is_rational())
+ if (!instanceof(realpart(x), cln::cl_RA_ring))
prec = cln::float_format(cln::the<cln::cl_F>(cln::realpart(value)));
- else if (!x.imag().is_rational())
+ else if (!instanceof(imagpart(x), cln::cl_RA_ring))
prec = cln::float_format(cln::the<cln::cl_F>(cln::imagpart(value)));
// [Kol] (5.15)
cln::cl_N add;
for (int j=0; j<n-1; j++) {
add = add + (1+cln::expt(cln::cl_I(-1),n-j)) * (1-cln::expt(cln::cl_I(2),1-n+j))
- * Li_num(n-j,1).to_cl_N() * cln::expt(cln::log(-value),j) / cln::factorial(j);
+ * Lin_numeric(n-j,1) * cln::expt(cln::log(-value),j) / cln::factorial(j);
}
result = result - add;
return result;
namespace {
+// performs the actual series summation for multiple polylogarithms
cln::cl_N multipleLi_do_sum(const std::vector<int>& s, const std::vector<cln::cl_N>& x)
{
+ // ensure all x <> 0.
+ for (const auto & it : x) {
+ if (it == 0) return cln::cl_float(0, cln::float_format(Digits));
+ }
+
const int j = s.size();
+ bool flag_accidental_zero = false;
std::vector<cln::cl_N> t(j);
cln::cl_F one = cln::cl_float(1, cln::float_format(Digits));
int q = 0;
do {
t0buf = t[0];
- // do it once ...
q++;
t[j-1] = t[j-1] + cln::expt(x[j-1], q) / cln::expt(cln::cl_I(q),s[j-1]) * one;
for (int k=j-2; k>=0; k--) {
t[k] = t[k] + t[k+1] * cln::expt(x[k], q+j-1-k) / cln::expt(cln::cl_I(q+j-1-k), s[k]);
}
- // ... and do it again (to avoid premature drop out due to special arguments)
- q++;
- t[j-1] = t[j-1] + cln::expt(x[j-1], q) / cln::expt(cln::cl_I(q),s[j-1]) * one;
- for (int k=j-2; k>=0; k--) {
- t[k] = t[k] + t[k+1] * cln::expt(x[k], q+j-1-k) / cln::expt(cln::cl_I(q+j-1-k), s[k]);
+ q++;
+ t[j-1] = t[j-1] + cln::expt(x[j-1], q) / cln::expt(cln::cl_I(q),s[j-1]) * one;
+ for (int k=j-2; k>=0; k--) {
+ flag_accidental_zero = cln::zerop(t[k+1]);
+ t[k] = t[k] + t[k+1] * cln::expt(x[k], q+j-1-k) / cln::expt(cln::cl_I(q+j-1-k), s[k]);
+ }
+ } while ( (t[0] != t0buf) || cln::zerop(t[0]) || flag_accidental_zero );
+
+ return t[0];
+}
+
+
+// forward declaration for Li_eval()
+lst convert_parameter_Li_to_H(const lst& m, const lst& x, ex& pf);
+
+
+// type used by the transformation functions for G
+typedef std::vector<int> Gparameter;
+
+
+// G_eval1-function for G transformations
+ex G_eval1(int a, int scale, const exvector& gsyms)
+{
+ if (a != 0) {
+ const ex& scs = gsyms[std::abs(scale)];
+ const ex& as = gsyms[std::abs(a)];
+ if (as != scs) {
+ return -log(1 - scs/as);
+ } else {
+ return -zeta(1);
+ }
+ } else {
+ return log(gsyms[std::abs(scale)]);
+ }
+}
+
+
+// G_eval-function for G transformations
+ex G_eval(const Gparameter& a, int scale, const exvector& gsyms)
+{
+ // check for properties of G
+ ex sc = gsyms[std::abs(scale)];
+ lst newa;
+ bool all_zero = true;
+ bool all_ones = true;
+ int count_ones = 0;
+ for (const auto & it : a) {
+ if (it != 0) {
+ const ex sym = gsyms[std::abs(it)];
+ newa.append(sym);
+ all_zero = false;
+ if (sym != sc) {
+ all_ones = false;
+ }
+ if (all_ones) {
+ ++count_ones;
+ }
+ } else {
+ all_ones = false;
+ }
+ }
+
+ // care about divergent G: shuffle to separate divergencies that will be canceled
+ // later on in the transformation
+ if (newa.nops() > 1 && newa.op(0) == sc && !all_ones && a.front()!=0) {
+ // do shuffle
+ Gparameter short_a(a.begin()+1, a.end());
+ ex result = G_eval1(a.front(), scale, gsyms) * G_eval(short_a, scale, gsyms);
+
+ auto it = short_a.begin();
+ advance(it, count_ones-1);
+ for (; it != short_a.end(); ++it) {
+
+ Gparameter newa(short_a.begin(), it);
+ newa.push_back(*it);
+ newa.push_back(a[0]);
+ newa.insert(newa.end(), it+1, short_a.end());
+ result -= G_eval(newa, scale, gsyms);
+ }
+ return result / count_ones;
+ }
+
+ // G({1,...,1};y) -> G({1};y)^k / k!
+ if (all_ones && a.size() > 1) {
+ return pow(G_eval1(a.front(),scale, gsyms), count_ones) / factorial(count_ones);
+ }
+
+ // G({0,...,0};y) -> log(y)^k / k!
+ if (all_zero) {
+ return pow(log(gsyms[std::abs(scale)]), a.size()) / factorial(a.size());
+ }
+
+ // no special cases anymore -> convert it into Li
+ lst m;
+ lst x;
+ ex argbuf = gsyms[std::abs(scale)];
+ ex mval = _ex1;
+ for (const auto & it : a) {
+ if (it != 0) {
+ const ex& sym = gsyms[std::abs(it)];
+ x.append(argbuf / sym);
+ m.append(mval);
+ mval = _ex1;
+ argbuf = sym;
+ } else {
+ ++mval;
+ }
+ }
+ return pow(-1, x.nops()) * Li(m, x);
+}
+
+// convert back to standard G-function, keep information on small imaginary parts
+ex G_eval_to_G(const Gparameter& a, int scale, const exvector& gsyms)
+{
+ lst z;
+ lst s;
+ for (const auto & it : a) {
+ if (it != 0) {
+ z.append(gsyms[std::abs(it)]);
+ if ( it<0 ) {
+ s.append(-1);
+ } else {
+ s.append(1);
+ }
+ } else {
+ z.append(0);
+ s.append(1);
+ }
+ }
+ return G(z,s,gsyms[std::abs(scale)]);
+}
+
+
+// converts data for G: pending_integrals -> a
+Gparameter convert_pending_integrals_G(const Gparameter& pending_integrals)
+{
+ GINAC_ASSERT(pending_integrals.size() != 1);
+
+ if (pending_integrals.size() > 0) {
+ // get rid of the first element, which would stand for the new upper limit
+ Gparameter new_a(pending_integrals.begin()+1, pending_integrals.end());
+ return new_a;
+ } else {
+ // just return empty parameter list
+ Gparameter new_a;
+ return new_a;
+ }
+}
+
+
+// check the parameters a and scale for G and return information about convergence, depth, etc.
+// convergent : true if G(a,scale) is convergent
+// depth : depth of G(a,scale)
+// trailing_zeros : number of trailing zeros of a
+// min_it : iterator of a pointing on the smallest element in a
+Gparameter::const_iterator check_parameter_G(const Gparameter& a, int scale,
+ bool& convergent, int& depth, int& trailing_zeros, Gparameter::const_iterator& min_it)
+{
+ convergent = true;
+ depth = 0;
+ trailing_zeros = 0;
+ min_it = a.end();
+ auto lastnonzero = a.end();
+ for (auto it = a.begin(); it != a.end(); ++it) {
+ if (std::abs(*it) > 0) {
+ ++depth;
+ trailing_zeros = 0;
+ lastnonzero = it;
+ if (std::abs(*it) < scale) {
+ convergent = false;
+ if ((min_it == a.end()) || (std::abs(*it) < std::abs(*min_it))) {
+ min_it = it;
+ }
+ }
+ } else {
+ ++trailing_zeros;
+ }
+ }
+ if (lastnonzero == a.end())
+ return a.end();
+ return ++lastnonzero;
+}
+
+
+// add scale to pending_integrals if pending_integrals is empty
+Gparameter prepare_pending_integrals(const Gparameter& pending_integrals, int scale)
+{
+ GINAC_ASSERT(pending_integrals.size() != 1);
+
+ if (pending_integrals.size() > 0) {
+ return pending_integrals;
+ } else {
+ Gparameter new_pending_integrals;
+ new_pending_integrals.push_back(scale);
+ return new_pending_integrals;
+ }
+}
+
+
+// handles trailing zeroes for an otherwise convergent integral
+ex trailing_zeros_G(const Gparameter& a, int scale, const exvector& gsyms)
+{
+ bool convergent;
+ int depth, trailing_zeros;
+ Gparameter::const_iterator last, dummyit;
+ last = check_parameter_G(a, scale, convergent, depth, trailing_zeros, dummyit);
+
+ GINAC_ASSERT(convergent);
+
+ if ((trailing_zeros > 0) && (depth > 0)) {
+ ex result;
+ Gparameter new_a(a.begin(), a.end()-1);
+ result += G_eval1(0, scale, gsyms) * trailing_zeros_G(new_a, scale, gsyms);
+ for (auto it = a.begin(); it != last; ++it) {
+ Gparameter new_a(a.begin(), it);
+ new_a.push_back(0);
+ new_a.insert(new_a.end(), it, a.end()-1);
+ result -= trailing_zeros_G(new_a, scale, gsyms);
+ }
+
+ return result / trailing_zeros;
+ } else {
+ return G_eval(a, scale, gsyms);
+ }
+}
+
+
+// G transformation [VSW] (57),(58)
+ex depth_one_trafo_G(const Gparameter& pending_integrals, const Gparameter& a, int scale, const exvector& gsyms)
+{
+ // pendint = ( y1, b1, ..., br )
+ // a = ( 0, ..., 0, amin )
+ // scale = y2
+ //
+ // int_0^y1 ds1/(s1-b1) ... int dsr/(sr-br) G(0, ..., 0, sr; y2)
+ // where sr replaces amin
+
+ GINAC_ASSERT(a.back() != 0);
+ GINAC_ASSERT(a.size() > 0);
+
+ ex result;
+ Gparameter new_pending_integrals = prepare_pending_integrals(pending_integrals, std::abs(a.back()));
+ const int psize = pending_integrals.size();
+
+ // length == 1
+ // G(sr_{+-}; y2 ) = G(y2_{-+}; sr) - G(0; sr) + ln(-y2_{-+})
+
+ if (a.size() == 1) {
+
+ // ln(-y2_{-+})
+ result += log(gsyms[ex_to<numeric>(scale).to_int()]);
+ if (a.back() > 0) {
+ new_pending_integrals.push_back(-scale);
+ result += I*Pi;
+ } else {
+ new_pending_integrals.push_back(scale);
+ result -= I*Pi;
+ }
+ if (psize) {
+ result *= trailing_zeros_G(convert_pending_integrals_G(pending_integrals),
+ pending_integrals.front(),
+ gsyms);
+ }
+
+ // G(y2_{-+}; sr)
+ result += trailing_zeros_G(convert_pending_integrals_G(new_pending_integrals),
+ new_pending_integrals.front(),
+ gsyms);
+
+ // G(0; sr)
+ new_pending_integrals.back() = 0;
+ result -= trailing_zeros_G(convert_pending_integrals_G(new_pending_integrals),
+ new_pending_integrals.front(),
+ gsyms);
+
+ return result;
+ }
+
+ // length > 1
+ // G_m(sr_{+-}; y2) = -zeta_m + int_0^y2 dt/t G_{m-1}( (1/y2)_{+-}; 1/t )
+ // - int_0^sr dt/t G_{m-1}( (1/y2)_{+-}; 1/t )
+
+ //term zeta_m
+ result -= zeta(a.size());
+ if (psize) {
+ result *= trailing_zeros_G(convert_pending_integrals_G(pending_integrals),
+ pending_integrals.front(),
+ gsyms);
+ }
+
+ // term int_0^sr dt/t G_{m-1}( (1/y2)_{+-}; 1/t )
+ // = int_0^sr dt/t G_{m-1}( t_{+-}; y2 )
+ Gparameter new_a(a.begin()+1, a.end());
+ new_pending_integrals.push_back(0);
+ result -= depth_one_trafo_G(new_pending_integrals, new_a, scale, gsyms);
+
+ // term int_0^y2 dt/t G_{m-1}( (1/y2)_{+-}; 1/t )
+ // = int_0^y2 dt/t G_{m-1}( t_{+-}; y2 )
+ Gparameter new_pending_integrals_2;
+ new_pending_integrals_2.push_back(scale);
+ new_pending_integrals_2.push_back(0);
+ if (psize) {
+ result += trailing_zeros_G(convert_pending_integrals_G(pending_integrals),
+ pending_integrals.front(),
+ gsyms)
+ * depth_one_trafo_G(new_pending_integrals_2, new_a, scale, gsyms);
+ } else {
+ result += depth_one_trafo_G(new_pending_integrals_2, new_a, scale, gsyms);
+ }
+
+ return result;
+}
+
+
+// forward declaration
+ex shuffle_G(const Gparameter & a0, const Gparameter & a1, const Gparameter & a2,
+ const Gparameter& pendint, const Gparameter& a_old, int scale,
+ const exvector& gsyms, bool flag_trailing_zeros_only);
+
+
+// G transformation [VSW]
+ex G_transform(const Gparameter& pendint, const Gparameter& a, int scale,
+ const exvector& gsyms, bool flag_trailing_zeros_only)
+{
+ // main recursion routine
+ //
+ // pendint = ( y1, b1, ..., br )
+ // a = ( a1, ..., amin, ..., aw )
+ // scale = y2
+ //
+ // int_0^y1 ds1/(s1-b1) ... int dsr/(sr-br) G(a1,...,sr,...,aw,y2)
+ // where sr replaces amin
+
+ // find smallest alpha, determine depth and trailing zeros, and check for convergence
+ bool convergent;
+ int depth, trailing_zeros;
+ Gparameter::const_iterator min_it;
+ auto firstzero = check_parameter_G(a, scale, convergent, depth, trailing_zeros, min_it);
+ int min_it_pos = distance(a.begin(), min_it);
+
+ // special case: all a's are zero
+ if (depth == 0) {
+ ex result;
+
+ if (a.size() == 0) {
+ result = 1;
+ } else {
+ result = G_eval(a, scale, gsyms);
+ }
+ if (pendint.size() > 0) {
+ result *= trailing_zeros_G(convert_pending_integrals_G(pendint),
+ pendint.front(),
+ gsyms);
+ }
+ return result;
+ }
+
+ // handle trailing zeros
+ if (trailing_zeros > 0) {
+ ex result;
+ Gparameter new_a(a.begin(), a.end()-1);
+ result += G_eval1(0, scale, gsyms) * G_transform(pendint, new_a, scale, gsyms, flag_trailing_zeros_only);
+ for (auto it = a.begin(); it != firstzero; ++it) {
+ Gparameter new_a(a.begin(), it);
+ new_a.push_back(0);
+ new_a.insert(new_a.end(), it, a.end()-1);
+ result -= G_transform(pendint, new_a, scale, gsyms, flag_trailing_zeros_only);
+ }
+ return result / trailing_zeros;
+ }
+
+ // flag_trailing_zeros_only: in this case we don't have pending integrals
+ if (flag_trailing_zeros_only)
+ return G_eval_to_G(a, scale, gsyms);
+
+ // convergence case
+ if (convergent) {
+ if (pendint.size() > 0) {
+ return G_eval(convert_pending_integrals_G(pendint),
+ pendint.front(), gsyms) *
+ G_eval(a, scale, gsyms);
+ } else {
+ return G_eval(a, scale, gsyms);
+ }
+ }
+
+ // call basic transformation for depth equal one
+ if (depth == 1) {
+ return depth_one_trafo_G(pendint, a, scale, gsyms);
+ }
+
+ // do recursion
+ // int_0^y1 ds1/(s1-b1) ... int dsr/(sr-br) G(a1,...,sr,...,aw,y2)
+ // = int_0^y1 ds1/(s1-b1) ... int dsr/(sr-br) G(a1,...,0,...,aw,y2)
+ // + int_0^y1 ds1/(s1-b1) ... int dsr/(sr-br) int_0^{sr} ds_{r+1} d/ds_{r+1} G(a1,...,s_{r+1},...,aw,y2)
+
+ // smallest element in last place
+ if (min_it + 1 == a.end()) {
+ do { --min_it; } while (*min_it == 0);
+ Gparameter empty;
+ Gparameter a1(a.begin(),min_it+1);
+ Gparameter a2(min_it+1,a.end());
+
+ ex result = G_transform(pendint, a2, scale, gsyms, flag_trailing_zeros_only)*
+ G_transform(empty, a1, scale, gsyms, flag_trailing_zeros_only);
+
+ result -= shuffle_G(empty, a1, a2, pendint, a, scale, gsyms, flag_trailing_zeros_only);
+ return result;
+ }
+
+ Gparameter empty;
+ Gparameter::iterator changeit;
+
+ // first term G(a_1,..,0,...,a_w;a_0)
+ Gparameter new_pendint = prepare_pending_integrals(pendint, a[min_it_pos]);
+ Gparameter new_a = a;
+ new_a[min_it_pos] = 0;
+ ex result = G_transform(empty, new_a, scale, gsyms, flag_trailing_zeros_only);
+ if (pendint.size() > 0) {
+ result *= trailing_zeros_G(convert_pending_integrals_G(pendint),
+ pendint.front(), gsyms);
+ }
+
+ // other terms
+ changeit = new_a.begin() + min_it_pos;
+ changeit = new_a.erase(changeit);
+ if (changeit != new_a.begin()) {
+ // smallest in the middle
+ new_pendint.push_back(*changeit);
+ result -= trailing_zeros_G(convert_pending_integrals_G(new_pendint),
+ new_pendint.front(), gsyms)*
+ G_transform(empty, new_a, scale, gsyms, flag_trailing_zeros_only);
+ int buffer = *changeit;
+ *changeit = *min_it;
+ result += G_transform(new_pendint, new_a, scale, gsyms, flag_trailing_zeros_only);
+ *changeit = buffer;
+ new_pendint.pop_back();
+ --changeit;
+ new_pendint.push_back(*changeit);
+ result += trailing_zeros_G(convert_pending_integrals_G(new_pendint),
+ new_pendint.front(), gsyms)*
+ G_transform(empty, new_a, scale, gsyms, flag_trailing_zeros_only);
+ *changeit = *min_it;
+ result -= G_transform(new_pendint, new_a, scale, gsyms, flag_trailing_zeros_only);
+ } else {
+ // smallest at the front
+ new_pendint.push_back(scale);
+ result += trailing_zeros_G(convert_pending_integrals_G(new_pendint),
+ new_pendint.front(), gsyms)*
+ G_transform(empty, new_a, scale, gsyms, flag_trailing_zeros_only);
+ new_pendint.back() = *changeit;
+ result -= trailing_zeros_G(convert_pending_integrals_G(new_pendint),
+ new_pendint.front(), gsyms)*
+ G_transform(empty, new_a, scale, gsyms, flag_trailing_zeros_only);
+ *changeit = *min_it;
+ result += G_transform(new_pendint, new_a, scale, gsyms, flag_trailing_zeros_only);
+ }
+ return result;
+}
+
+
+// shuffles the two parameter list a1 and a2 and calls G_transform for every term except
+// for the one that is equal to a_old
+ex shuffle_G(const Gparameter & a0, const Gparameter & a1, const Gparameter & a2,
+ const Gparameter& pendint, const Gparameter& a_old, int scale,
+ const exvector& gsyms, bool flag_trailing_zeros_only)
+{
+ if (a1.size()==0 && a2.size()==0) {
+ // veto the one configuration we don't want
+ if ( a0 == a_old ) return 0;
+
+ return G_transform(pendint, a0, scale, gsyms, flag_trailing_zeros_only);
+ }
+
+ if (a2.size()==0) {
+ Gparameter empty;
+ Gparameter aa0 = a0;
+ aa0.insert(aa0.end(),a1.begin(),a1.end());
+ return shuffle_G(aa0, empty, empty, pendint, a_old, scale, gsyms, flag_trailing_zeros_only);
+ }
+
+ if (a1.size()==0) {
+ Gparameter empty;
+ Gparameter aa0 = a0;
+ aa0.insert(aa0.end(),a2.begin(),a2.end());
+ return shuffle_G(aa0, empty, empty, pendint, a_old, scale, gsyms, flag_trailing_zeros_only);
+ }
+
+ Gparameter a1_removed(a1.begin()+1,a1.end());
+ Gparameter a2_removed(a2.begin()+1,a2.end());
+
+ Gparameter a01 = a0;
+ Gparameter a02 = a0;
+
+ a01.push_back( a1[0] );
+ a02.push_back( a2[0] );
+
+ return shuffle_G(a01, a1_removed, a2, pendint, a_old, scale, gsyms, flag_trailing_zeros_only)
+ + shuffle_G(a02, a1, a2_removed, pendint, a_old, scale, gsyms, flag_trailing_zeros_only);
+}
+
+// handles the transformations and the numerical evaluation of G
+// the parameter x, s and y must only contain numerics
+static cln::cl_N
+G_numeric(const std::vector<cln::cl_N>& x, const std::vector<int>& s,
+ const cln::cl_N& y);
+
+// do acceleration transformation (hoelder convolution [BBB])
+// the parameter x, s and y must only contain numerics
+static cln::cl_N
+G_do_hoelder(std::vector<cln::cl_N> x, /* yes, it's passed by value */
+ const std::vector<int>& s, const cln::cl_N& y)
+{
+ cln::cl_N result;
+ const std::size_t size = x.size();
+ for (std::size_t i = 0; i < size; ++i)
+ x[i] = x[i]/y;
+
+ // 24.03.2021: this block can be outside the loop over r
+ cln::cl_RA p(2);
+ bool adjustp;
+ do {
+ adjustp = false;
+ for (std::size_t i = 0; i < size; ++i) {
+ // 24.03.2021: replaced (x[i] == cln::cl_RA(1)/p) by (cln::zerop(x[i] - cln::cl_RA(1)/p)
+ // in the case where we compare a float with a rational, CLN behaves differently in the two versions
+ if (cln::zerop(x[i] - cln::cl_RA(1)/p) ) {
+ p = p/2 + cln::cl_RA(3)/2;
+ adjustp = true;
+ continue;
+ }
+ }
+ } while (adjustp);
+ cln::cl_RA q = p/(p-1);
+
+ for (std::size_t r = 0; r <= size; ++r) {
+ cln::cl_N buffer(1 & r ? -1 : 1);
+ std::vector<cln::cl_N> qlstx;
+ std::vector<int> qlsts;
+ for (std::size_t j = r; j >= 1; --j) {
+ qlstx.push_back(cln::cl_N(1) - x[j-1]);
+ if (imagpart(x[j-1])==0 && realpart(x[j-1]) >= 1) {
+ qlsts.push_back(1);
+ } else {
+ qlsts.push_back(-s[j-1]);
+ }
+ }
+ if (qlstx.size() > 0) {
+ buffer = buffer*G_numeric(qlstx, qlsts, 1/q);
+ }
+ std::vector<cln::cl_N> plstx;
+ std::vector<int> plsts;
+ for (std::size_t j = r+1; j <= size; ++j) {
+ plstx.push_back(x[j-1]);
+ plsts.push_back(s[j-1]);
+ }
+ if (plstx.size() > 0) {
+ buffer = buffer*G_numeric(plstx, plsts, 1/p);
+ }
+ result = result + buffer;
+ }
+ return result;
+}
+
+class less_object_for_cl_N
+{
+public:
+ bool operator() (const cln::cl_N & a, const cln::cl_N & b) const
+ {
+ // absolute value?
+ if (abs(a) != abs(b))
+ return (abs(a) < abs(b)) ? true : false;
+
+ // complex phase?
+ if (phase(a) != phase(b))
+ return (phase(a) < phase(b)) ? true : false;
+
+ // equal, therefore "less" is not true
+ return false;
+ }
+};
+
+
+// convergence transformation, used for numerical evaluation of G function.
+// the parameter x, s and y must only contain numerics
+static cln::cl_N
+G_do_trafo(const std::vector<cln::cl_N>& x, const std::vector<int>& s,
+ const cln::cl_N& y, bool flag_trailing_zeros_only)
+{
+ // sort (|x|<->position) to determine indices
+ typedef std::multimap<cln::cl_N, std::size_t, less_object_for_cl_N> sortmap_t;
+ sortmap_t sortmap;
+ std::size_t size = 0;
+ for (std::size_t i = 0; i < x.size(); ++i) {
+ if (!zerop(x[i])) {
+ sortmap.insert(std::make_pair(x[i], i));
+ ++size;
+ }
+ }
+ // include upper limit (scale)
+ sortmap.insert(std::make_pair(y, x.size()));
+
+ // generate missing dummy-symbols
+ int i = 1;
+ // holding dummy-symbols for the G/Li transformations
+ exvector gsyms;
+ gsyms.push_back(symbol("GSYMS_ERROR"));
+ cln::cl_N lastentry(0);
+ for (sortmap_t::const_iterator it = sortmap.begin(); it != sortmap.end(); ++it) {
+ if (it != sortmap.begin()) {
+ if (it->second < x.size()) {
+ if (x[it->second] == lastentry) {
+ gsyms.push_back(gsyms.back());
+ continue;
+ }
+ } else {
+ if (y == lastentry) {
+ gsyms.push_back(gsyms.back());
+ continue;
+ }
+ }
+ }
+ std::ostringstream os;
+ os << "a" << i;
+ gsyms.push_back(symbol(os.str()));
+ ++i;
+ if (it->second < x.size()) {
+ lastentry = x[it->second];
+ } else {
+ lastentry = y;
+ }
+ }
+
+ // fill position data according to sorted indices and prepare substitution list
+ Gparameter a(x.size());
+ exmap subslst;
+ std::size_t pos = 1;
+ int scale = pos;
+ for (sortmap_t::const_iterator it = sortmap.begin(); it != sortmap.end(); ++it) {
+ if (it->second < x.size()) {
+ if (s[it->second] > 0) {
+ a[it->second] = pos;
+ } else {
+ a[it->second] = -int(pos);
+ }
+ subslst[gsyms[pos]] = numeric(x[it->second]);
+ } else {
+ scale = pos;
+ subslst[gsyms[pos]] = numeric(y);
+ }
+ ++pos;
+ }
+
+ // do transformation
+ Gparameter pendint;
+ ex result = G_transform(pendint, a, scale, gsyms, flag_trailing_zeros_only);
+ // replace dummy symbols with their values
+ result = result.expand();
+ result = result.subs(subslst).evalf();
+ if (!is_a<numeric>(result))
+ throw std::logic_error("G_do_trafo: G_transform returned non-numeric result");
+
+ cln::cl_N ret = ex_to<numeric>(result).to_cl_N();
+ return ret;
+}
+
+// handles the transformations and the numerical evaluation of G
+// the parameter x, s and y must only contain numerics
+static cln::cl_N
+G_numeric(const std::vector<cln::cl_N>& x, const std::vector<int>& s,
+ const cln::cl_N& y)
+{
+ // check for convergence and necessary accelerations
+ bool need_trafo = false;
+ bool need_hoelder = false;
+ bool have_trailing_zero = false;
+ std::size_t depth = 0;
+ for (auto & xi : x) {
+ if (!zerop(xi)) {
+ ++depth;
+ const cln::cl_N x_y = abs(xi) - y;
+ if (instanceof(x_y, cln::cl_R_ring) &&
+ realpart(x_y) < cln::least_negative_float(cln::float_format(Digits - 2)))
+ need_trafo = true;
+
+ if (abs(abs(xi/y) - 1) < 0.01)
+ need_hoelder = true;
+ }
+ }
+ if (zerop(x.back())) {
+ have_trailing_zero = true;
+ need_trafo = true;
+ }
+
+ if (depth == 1 && x.size() == 2 && !need_trafo)
+ return - Li_projection(2, y/x[1], cln::float_format(Digits));
+
+ // do acceleration transformation (hoelder convolution [BBB])
+ if (need_hoelder && !have_trailing_zero)
+ return G_do_hoelder(x, s, y);
+
+ // convergence transformation
+ if (need_trafo)
+ return G_do_trafo(x, s, y, have_trailing_zero);
+
+ // do summation
+ std::vector<cln::cl_N> newx;
+ newx.reserve(x.size());
+ std::vector<int> m;
+ m.reserve(x.size());
+ int mcount = 1;
+ int sign = 1;
+ cln::cl_N factor = y;
+ for (auto & xi : x) {
+ if (zerop(xi)) {
+ ++mcount;
+ } else {
+ newx.push_back(factor/xi);
+ factor = xi;
+ m.push_back(mcount);
+ mcount = 1;
+ sign = -sign;
+ }
+ }
+
+ return sign*multipleLi_do_sum(m, newx);
+}
+
+
+ex mLi_numeric(const lst& m, const lst& x)
+{
+ // let G_numeric do the transformation
+ std::vector<cln::cl_N> newx;
+ newx.reserve(x.nops());
+ std::vector<int> s;
+ s.reserve(x.nops());
+ cln::cl_N factor(1);
+ for (auto itm = m.begin(), itx = x.begin(); itm != m.end(); ++itm, ++itx) {
+ for (int i = 1; i < *itm; ++i) {
+ newx.push_back(cln::cl_N(0));
+ s.push_back(1);
+ }
+ const cln::cl_N xi = ex_to<numeric>(*itx).to_cl_N();
+ factor = factor/xi;
+ newx.push_back(factor);
+ if ( !instanceof(factor, cln::cl_R_ring) && imagpart(factor) < 0 ) {
+ s.push_back(-1);
+ }
+ else {
+ s.push_back(1);
+ }
+ }
+ return numeric(cln::cl_N(1 & m.nops() ? - 1 : 1)*G_numeric(newx, s, cln::cl_N(1)));
+}
+
+
+} // end of anonymous namespace
+
+
+//////////////////////////////////////////////////////////////////////
+//
+// Generalized multiple polylogarithm G(x, y) and G(x, s, y)
+//
+// GiNaC function
+//
+//////////////////////////////////////////////////////////////////////
+
+
+static ex G2_evalf(const ex& x_, const ex& y)
+{
+ if ((!y.info(info_flags::numeric)) || (!y.info(info_flags::positive))) {
+ return G(x_, y).hold();
+ }
+ lst x = is_a<lst>(x_) ? ex_to<lst>(x_) : lst{x_};
+ if (x.nops() == 0) {
+ return _ex1;
+ }
+ if (x.op(0) == y) {
+ return G(x_, y).hold();
+ }
+ std::vector<int> s;
+ s.reserve(x.nops());
+ bool all_zero = true;
+ for (const auto & it : x) {
+ if (!it.info(info_flags::numeric)) {
+ return G(x_, y).hold();
+ }
+ if (it != _ex0) {
+ all_zero = false;
+ }
+ if ( !ex_to<numeric>(it).is_real() && ex_to<numeric>(it).imag() < 0 ) {
+ s.push_back(-1);
+ }
+ else {
+ s.push_back(1);
+ }
+ }
+ if (all_zero) {
+ return pow(log(y), x.nops()) / factorial(x.nops());
+ }
+ std::vector<cln::cl_N> xv;
+ xv.reserve(x.nops());
+ for (const auto & it : x)
+ xv.push_back(ex_to<numeric>(it).to_cl_N());
+ cln::cl_N result = G_numeric(xv, s, ex_to<numeric>(y).to_cl_N());
+ return numeric(result);
+}
+
+
+static ex G2_eval(const ex& x_, const ex& y)
+{
+ //TODO eval to MZV or H or S or Lin
+
+ if ((!y.info(info_flags::numeric)) || (!y.info(info_flags::positive))) {
+ return G(x_, y).hold();
+ }
+ lst x = is_a<lst>(x_) ? ex_to<lst>(x_) : lst{x_};
+ if (x.nops() == 0) {
+ return _ex1;
+ }
+ if (x.op(0) == y) {
+ return G(x_, y).hold();
+ }
+ std::vector<int> s;
+ s.reserve(x.nops());
+ bool all_zero = true;
+ bool crational = true;
+ for (const auto & it : x) {
+ if (!it.info(info_flags::numeric)) {
+ return G(x_, y).hold();
+ }
+ if (!it.info(info_flags::crational)) {
+ crational = false;
+ }
+ if (it != _ex0) {
+ all_zero = false;
+ }
+ if ( !ex_to<numeric>(it).is_real() && ex_to<numeric>(it).imag() < 0 ) {
+ s.push_back(-1);
+ }
+ else {
+ s.push_back(+1);
+ }
+ }
+ if (all_zero) {
+ return pow(log(y), x.nops()) / factorial(x.nops());
+ }
+ if (!y.info(info_flags::crational)) {
+ crational = false;
+ }
+ if (crational) {
+ return G(x_, y).hold();
+ }
+ std::vector<cln::cl_N> xv;
+ xv.reserve(x.nops());
+ for (const auto & it : x)
+ xv.push_back(ex_to<numeric>(it).to_cl_N());
+ cln::cl_N result = G_numeric(xv, s, ex_to<numeric>(y).to_cl_N());
+ return numeric(result);
+}
+
+
+// option do_not_evalf_params() removed.
+unsigned G2_SERIAL::serial = function::register_new(function_options("G", 2).
+ evalf_func(G2_evalf).
+ eval_func(G2_eval).
+ overloaded(2));
+//TODO
+// derivative_func(G2_deriv).
+// print_func<print_latex>(G2_print_latex).
+
+
+static ex G3_evalf(const ex& x_, const ex& s_, const ex& y)
+{
+ if ((!y.info(info_flags::numeric)) || (!y.info(info_flags::positive))) {
+ return G(x_, s_, y).hold();
+ }
+ lst x = is_a<lst>(x_) ? ex_to<lst>(x_) : lst{x_};
+ lst s = is_a<lst>(s_) ? ex_to<lst>(s_) : lst{s_};
+ if (x.nops() != s.nops()) {
+ return G(x_, s_, y).hold();
+ }
+ if (x.nops() == 0) {
+ return _ex1;
+ }
+ if (x.op(0) == y) {
+ return G(x_, s_, y).hold();
+ }
+ std::vector<int> sn;
+ sn.reserve(s.nops());
+ bool all_zero = true;
+ for (auto itx = x.begin(), its = s.begin(); itx != x.end(); ++itx, ++its) {
+ if (!(*itx).info(info_flags::numeric)) {
+ return G(x_, y).hold();
+ }
+ if (!(*its).info(info_flags::real)) {
+ return G(x_, y).hold();
+ }
+ if (*itx != _ex0) {
+ all_zero = false;
+ }
+ if ( ex_to<numeric>(*itx).is_real() ) {
+ if ( ex_to<numeric>(*itx).is_positive() ) {
+ if ( *its >= 0 ) {
+ sn.push_back(1);
+ }
+ else {
+ sn.push_back(-1);
+ }
+ } else {
+ sn.push_back(1);
+ }
+ }
+ else {
+ if ( ex_to<numeric>(*itx).imag() > 0 ) {
+ sn.push_back(1);
+ }
+ else {
+ sn.push_back(-1);
+ }
+ }
+ }
+ if (all_zero) {
+ return pow(log(y), x.nops()) / factorial(x.nops());
+ }
+ std::vector<cln::cl_N> xn;
+ xn.reserve(x.nops());
+ for (const auto & it : x)
+ xn.push_back(ex_to<numeric>(it).to_cl_N());
+ cln::cl_N result = G_numeric(xn, sn, ex_to<numeric>(y).to_cl_N());
+ return numeric(result);
+}
+
+
+static ex G3_eval(const ex& x_, const ex& s_, const ex& y)
+{
+ //TODO eval to MZV or H or S or Lin
+
+ if ((!y.info(info_flags::numeric)) || (!y.info(info_flags::positive))) {
+ return G(x_, s_, y).hold();
+ }
+ lst x = is_a<lst>(x_) ? ex_to<lst>(x_) : lst{x_};
+ lst s = is_a<lst>(s_) ? ex_to<lst>(s_) : lst{s_};
+ if (x.nops() != s.nops()) {
+ return G(x_, s_, y).hold();
+ }
+ if (x.nops() == 0) {
+ return _ex1;
+ }
+ if (x.op(0) == y) {
+ return G(x_, s_, y).hold();
+ }
+ std::vector<int> sn;
+ sn.reserve(s.nops());
+ bool all_zero = true;
+ bool crational = true;
+ for (auto itx = x.begin(), its = s.begin(); itx != x.end(); ++itx, ++its) {
+ if (!(*itx).info(info_flags::numeric)) {
+ return G(x_, s_, y).hold();
+ }
+ if (!(*its).info(info_flags::real)) {
+ return G(x_, s_, y).hold();
+ }
+ if (!(*itx).info(info_flags::crational)) {
+ crational = false;
+ }
+ if (*itx != _ex0) {
+ all_zero = false;
+ }
+ if ( ex_to<numeric>(*itx).is_real() ) {
+ if ( ex_to<numeric>(*itx).is_positive() ) {
+ if ( *its >= 0 ) {
+ sn.push_back(1);
+ }
+ else {
+ sn.push_back(-1);
+ }
+ } else {
+ sn.push_back(1);
+ }
+ }
+ else {
+ if ( ex_to<numeric>(*itx).imag() > 0 ) {
+ sn.push_back(1);
+ }
+ else {
+ sn.push_back(-1);
+ }
}
- } while (t[0] != t0buf);
-
- return t[0];
+ }
+ if (all_zero) {
+ return pow(log(y), x.nops()) / factorial(x.nops());
+ }
+ if (!y.info(info_flags::crational)) {
+ crational = false;
+ }
+ if (crational) {
+ return G(x_, s_, y).hold();
+ }
+ std::vector<cln::cl_N> xn;
+ xn.reserve(x.nops());
+ for (const auto & it : x)
+ xn.push_back(ex_to<numeric>(it).to_cl_N());
+ cln::cl_N result = G_numeric(xn, sn, ex_to<numeric>(y).to_cl_N());
+ return numeric(result);
}
-// forward declaration for Li_eval()
-lst convert_parameter_Li_to_H(const lst& m, const lst& x, ex& pf);
-
-} // end of anonymous namespace
+// option do_not_evalf_params() removed.
+// This is safe: in the code above it only matters if s_ > 0 or s_ < 0,
+// s_ is allowed to be of floating type.
+unsigned G3_SERIAL::serial = function::register_new(function_options("G", 3).
+ evalf_func(G3_evalf).
+ eval_func(G3_eval).
+ overloaded(2));
+//TODO
+// derivative_func(G3_deriv).
+// print_func<print_latex>(G3_print_latex).
//////////////////////////////////////////////////////////////////////
//
-// Classical polylogarithm and multiple polylogarithm Li(n,x)
+// Classical polylogarithm and multiple polylogarithm Li(m,x)
//
// GiNaC function
//
//////////////////////////////////////////////////////////////////////
-static ex Li_evalf(const ex& x1, const ex& x2)
+static ex Li_evalf(const ex& m_, const ex& x_)
{
// classical polylogs
- if (is_a<numeric>(x1) && is_a<numeric>(x2)) {
- return Li_num(ex_to<numeric>(x1).to_int(), ex_to<numeric>(x2));
+ if (m_.info(info_flags::posint)) {
+ if (x_.info(info_flags::numeric)) {
+ int m__ = ex_to<numeric>(m_).to_int();
+ const cln::cl_N x__ = ex_to<numeric>(x_).to_cl_N();
+ const cln::cl_N result = Lin_numeric(m__, x__);
+ return numeric(result);
+ } else {
+ // try to numerically evaluate second argument
+ ex x_val = x_.evalf();
+ if (x_val.info(info_flags::numeric)) {
+ int m__ = ex_to<numeric>(m_).to_int();
+ const cln::cl_N x__ = ex_to<numeric>(x_val).to_cl_N();
+ const cln::cl_N result = Lin_numeric(m__, x__);
+ return numeric(result);
+ }
+ }
}
// multiple polylogs
- else if (is_a<lst>(x1) && is_a<lst>(x2)) {
- ex conv = 1;
- for (int i=0; i<x1.nops(); i++) {
- if (!x1.op(i).info(info_flags::posint)) {
- return Li(x1, x2).hold();
+ if (is_a<lst>(m_) && is_a<lst>(x_)) {
+
+ const lst& m = ex_to<lst>(m_);
+ const lst& x = ex_to<lst>(x_);
+ if (m.nops() != x.nops()) {
+ return Li(m_,x_).hold();
+ }
+ if (x.nops() == 0) {
+ return _ex1;
+ }
+ if ((m.op(0) == _ex1) && (x.op(0) == _ex1)) {
+ return Li(m_,x_).hold();
+ }
+
+ for (auto itm = m.begin(), itx = x.begin(); itm != m.end(); ++itm, ++itx) {
+ if (!(*itm).info(info_flags::posint)) {
+ return Li(m_, x_).hold();
}
- if (!is_a<numeric>(x2.op(i))) {
- return Li(x1, x2).hold();
+ if (!(*itx).info(info_flags::numeric)) {
+ return Li(m_, x_).hold();
}
- conv *= x2.op(i);
- if (conv >= 1) {
- return Li(x1, x2).hold();
+ if (*itx == _ex0) {
+ return _ex0;
}
}
- std::vector<int> m;
- std::vector<cln::cl_N> x;
- for (int i=0; i<ex_to<numeric>(x1.nops()).to_int(); i++) {
- m.push_back(ex_to<numeric>(x1.op(i)).to_int());
- x.push_back(ex_to<numeric>(x2.op(i)).to_cl_N());
- }
-
- return numeric(multipleLi_do_sum(m, x));
+ return mLi_numeric(m, x);
}
- return Li(x1,x2).hold();
+ return Li(m_,x_).hold();
}
static ex Li_eval(const ex& m_, const ex& x_)
{
- if (m_.nops() < 2) {
- ex m;
- if (is_a<lst>(m_)) {
- m = m_.op(0);
- } else {
- m = m_;
- }
- ex x;
+ if (is_a<lst>(m_)) {
if (is_a<lst>(x_)) {
- x = x_.op(0);
- } else {
- x = x_;
- }
- if (x == _ex0) {
- return _ex0;
- }
- if (x == _ex1) {
- return zeta(m);
- }
- if (x == _ex_1) {
- return (pow(2,1-m)-1) * zeta(m);
- }
- if (m == _ex1) {
- return -log(1-x);
- }
- if (m.info(info_flags::posint) && x.info(info_flags::numeric) && (!x.info(info_flags::crational))) {
- return Li_num(ex_to<numeric>(m).to_int(), ex_to<numeric>(x));
- }
- } else {
- bool ish = true;
- bool iszeta = true;
- bool iszero = false;
- bool doevalf = false;
- bool doevalfveto = true;
- const lst& m = ex_to<lst>(m_);
- const lst& x = ex_to<lst>(x_);
- lst::const_iterator itm = m.begin();
- lst::const_iterator itx = x.begin();
- for (; itm != m.end(); itm++, itx++) {
- if (!(*itm).info(info_flags::posint)) {
- return Li(m_, x_).hold();
+ // multiple polylogs
+ const lst& m = ex_to<lst>(m_);
+ const lst& x = ex_to<lst>(x_);
+ if (m.nops() != x.nops()) {
+ return Li(m_,x_).hold();
+ }
+ if (x.nops() == 0) {
+ return _ex1;
}
- if ((*itx != _ex1) && (*itx != _ex_1)) {
- if (itx != x.begin()) {
- ish = false;
+ bool is_H = true;
+ bool is_zeta = true;
+ bool do_evalf = true;
+ bool crational = true;
+ for (auto itm = m.begin(), itx = x.begin(); itm != m.end(); ++itm, ++itx) {
+ if (!(*itm).info(info_flags::posint)) {
+ return Li(m_,x_).hold();
+ }
+ if ((*itx != _ex1) && (*itx != _ex_1)) {
+ if (itx != x.begin()) {
+ is_H = false;
+ }
+ is_zeta = false;
+ }
+ if (*itx == _ex0) {
+ return _ex0;
+ }
+ if (!(*itx).info(info_flags::numeric)) {
+ do_evalf = false;
+ }
+ if (!(*itx).info(info_flags::crational)) {
+ crational = false;
}
- iszeta = false;
}
- if (*itx == _ex0) {
- iszero = true;
+ if (is_zeta) {
+ lst newx;
+ for (const auto & itx : x) {
+ GINAC_ASSERT((itx == _ex1) || (itx == _ex_1));
+ // XXX: 1 + 0.0*I is considered equal to 1. However
+ // the former is a not automatically converted
+ // to a real number. Do the conversion explicitly
+ // to avoid the "numeric::operator>(): complex inequality"
+ // exception (and similar problems).
+ newx.append(itx != _ex_1 ? _ex1 : _ex_1);
+ }
+ return zeta(m_, newx);
}
- if (!(*itx).info(info_flags::numeric)) {
- doevalfveto = false;
+ if (is_H) {
+ ex prefactor;
+ lst newm = convert_parameter_Li_to_H(m, x, prefactor);
+ return prefactor * H(newm, x[0]);
}
- if (!(*itx).info(info_flags::crational)) {
- doevalf = true;
+ if (do_evalf && !crational) {
+ return mLi_numeric(m,x);
}
}
- if (iszeta) {
- return zeta(m_, x_);
- }
- if (iszero) {
- return _ex0;
- }
- if (ish) {
- ex pf;
- lst newm = convert_parameter_Li_to_H(m, x, pf);
- return pf * H(newm, x[0]);
+ return Li(m_, x_).hold();
+ } else if (is_a<lst>(x_)) {
+ return Li(m_, x_).hold();
+ }
+
+ // classical polylogs
+ if (x_ == _ex0) {
+ return _ex0;
+ }
+ if (x_ == _ex1) {
+ return zeta(m_);
+ }
+ if (x_ == _ex_1) {
+ return (pow(2,1-m_)-1) * zeta(m_);
+ }
+ if (m_ == _ex1) {
+ return -log(1-x_);
+ }
+ if (m_ == _ex2) {
+ if (x_.is_equal(I)) {
+ return power(Pi,_ex2)/_ex_48 + Catalan*I;
}
- if (doevalfveto && doevalf) {
- return Li(m_, x_).evalf();
+ if (x_.is_equal(-I)) {
+ return power(Pi,_ex2)/_ex_48 - Catalan*I;
}
}
+ if (m_.info(info_flags::posint) && x_.info(info_flags::numeric) && !x_.info(info_flags::crational)) {
+ int m__ = ex_to<numeric>(m_).to_int();
+ const cln::cl_N x__ = ex_to<numeric>(x_).to_cl_N();
+ const cln::cl_N result = Lin_numeric(m__, x__);
+ return numeric(result);
+ }
+
return Li(m_, x_).hold();
}
static ex Li_series(const ex& m, const ex& x, const relational& rel, int order, unsigned options)
{
- epvector seq;
- seq.push_back(expair(Li(m, x), 0));
- return pseries(rel, seq);
+ if (is_a<lst>(m) || is_a<lst>(x)) {
+ // multiple polylog
+ epvector seq { expair(Li(m, x), 0) };
+ return pseries(rel, std::move(seq));
+ }
+
+ // classical polylog
+ const ex x_pt = x.subs(rel, subs_options::no_pattern);
+ if (m.info(info_flags::numeric) && x_pt.info(info_flags::numeric)) {
+ // First special case: x==0 (derivatives have poles)
+ if (x_pt.is_zero()) {
+ const symbol s;
+ ex ser;
+ // manually construct the primitive expansion
+ for (int i=1; i<order; ++i)
+ ser += pow(s,i) / pow(numeric(i), m);
+ // substitute the argument's series expansion
+ ser = ser.subs(s==x.series(rel, order), subs_options::no_pattern);
+ // maybe that was terminating, so add a proper order term
+ epvector nseq { expair(Order(_ex1), order) };
+ ser += pseries(rel, std::move(nseq));
+ // reexpanding it will collapse the series again
+ return ser.series(rel, order);
+ }
+ // TODO special cases: x==1 (branch point) and x real, >=1 (branch cut)
+ throw std::runtime_error("Li_series: don't know how to do the series expansion at this point!");
+ }
+ // all other cases should be safe, by now:
+ throw do_taylor(); // caught by function::series()
}
if (is_a<lst>(m_)) {
m = ex_to<lst>(m_);
} else {
- m = lst(m_);
+ m = lst{m_};
}
lst x;
if (is_a<lst>(x_)) {
x = ex_to<lst>(x_);
} else {
- x = lst(x_);
+ x = lst{x_};
}
- c.s << "\\mbox{Li}_{";
- lst::const_iterator itm = m.begin();
+ c.s << "\\mathrm{Li}_{";
+ auto itm = m.begin();
(*itm).print(c);
itm++;
for (; itm != m.end(); itm++) {
(*itm).print(c);
}
c.s << "}(";
- lst::const_iterator itx = x.begin();
+ auto itx = x.begin();
(*itx).print(c);
itx++;
for (; itx != x.end(); itx++) {
// lookup table for special Euler-Zagier-Sums (used for S_n,p(x))
// see fill_Yn()
-std::vector<std::vector<cln::cl_N> > Yn;
+std::vector<std::vector<cln::cl_N>> Yn;
int ynsize = 0; // number of Yn[]
int ynlength = 100; // initial length of all Yn[i]
if (n) {
std::vector<cln::cl_N> buf(initsize);
- std::vector<cln::cl_N>::iterator it = buf.begin();
- std::vector<cln::cl_N>::iterator itprev = Yn[n-1].begin();
+ auto it = buf.begin();
+ auto itprev = Yn[n-1].begin();
*it = (*itprev) / cln::cl_N(n+1) * one;
it++;
itprev++;
Yn.push_back(buf);
} else {
std::vector<cln::cl_N> buf(initsize);
- std::vector<cln::cl_N>::iterator it = buf.begin();
+ auto it = buf.begin();
*it = 1 * one;
it++;
for (int i=2; i<=initsize; i++) {
cln::cl_N one = cln::cl_float(1, prec);
Yn[0].resize(newsize);
- std::vector<cln::cl_N>::iterator it = Yn[0].begin();
+ auto it = Yn[0].begin();
it += ynlength;
for (int i=ynlength+1; i<=newsize; i++) {
*it = *(it-1) + 1 / cln::cl_N(i) * one;
for (int n=1; n<ynsize; n++) {
Yn[n].resize(newsize);
- std::vector<cln::cl_N>::iterator it = Yn[n].begin();
- std::vector<cln::cl_N>::iterator itprev = Yn[n-1].begin();
+ auto it = Yn[n].begin();
+ auto itprev = Yn[n-1].begin();
it += ynlength;
itprev += ynlength;
for (int i=ynlength+n+1; i<=newsize+n; i++) {
if (k == 0) {
if (n & 1) {
if (j & 1) {
- result = result - 2 * cln::expt(cln::pi(),2*j) * S_num(n-2*j,p,1).to_cl_N() / cln::factorial(2*j);
+ result = result - 2 * cln::expt(cln::pi(),2*j) * S_num(n-2*j,p,1) / cln::factorial(2*j);
}
else {
- result = result + 2 * cln::expt(cln::pi(),2*j) * S_num(n-2*j,p,1).to_cl_N() / cln::factorial(2*j);
+ result = result + 2 * cln::expt(cln::pi(),2*j) * S_num(n-2*j,p,1) / cln::factorial(2*j);
}
}
}
if (k & 1) {
if (j & 1) {
result = result + cln::factorial(n+k-1)
- * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1).to_cl_N()
+ * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1)
/ (cln::factorial(k) * cln::factorial(n-1) * cln::factorial(2*j));
}
else {
result = result - cln::factorial(n+k-1)
- * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1).to_cl_N()
+ * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1)
/ (cln::factorial(k) * cln::factorial(n-1) * cln::factorial(2*j));
}
}
else {
if (j & 1) {
- result = result - cln::factorial(n+k-1) * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1).to_cl_N()
+ result = result - cln::factorial(n+k-1) * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1)
/ (cln::factorial(k) * cln::factorial(n-1) * cln::factorial(2*j));
}
else {
result = result + cln::factorial(n+k-1)
- * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1).to_cl_N()
+ * cln::expt(cln::pi(),2*j) * S_num(n+k-2*j,p-k,1)
/ (cln::factorial(k) * cln::factorial(n-1) * cln::factorial(2*j));
}
}
// helper function for S(n,p,x)
cln::cl_N S_do_sum(int n, int p, const cln::cl_N& x, const cln::float_format_t& prec)
{
+ static cln::float_format_t oldprec = cln::default_float_format;
+
if (p==1) {
return Li_projection(n+1, x, prec);
}
-
+
+ // precision has changed, we need to clear lookup table Yn
+ if ( oldprec != prec ) {
+ Yn.clear();
+ ynsize = 0;
+ ynlength = 100;
+ oldprec = prec;
+ }
+
// check if precalculated values are sufficient
if (p > ynsize+1) {
for (int i=ynsize; i<p-1; i++) {
}
// should be done otherwise
- cln::cl_N xf = x * cln::cl_float(1, prec);
+ cln::cl_F one = cln::cl_float(1, cln::float_format(Digits));
+ cln::cl_N xf = x * one;
+ //cln::cl_N xf = x * cln::cl_float(1, prec);
cln::cl_N res;
cln::cl_N resbuf;
res2 = res2 + cln::expt(cln::cl_I(-1),r) * cln::expt(cln::log(1-x),r)
* S_do_sum(p-r,n-s,1-x,prec) / cln::factorial(r);
}
- result = result + cln::expt(cln::log(x),s) * (S_num(n-s,p,1).to_cl_N() - res2) / cln::factorial(s);
+ result = result + cln::expt(cln::log(x),s) * (S_num(n-s,p,1) - res2) / cln::factorial(s);
}
return result;
// helper function for S(n,p,x)
-numeric S_num(int n, int p, const numeric& x)
+const cln::cl_N S_num(int n, int p, const cln::cl_N& x)
{
if (x == 1) {
if (n == 1) {
// what is the desired float format?
// first guess: default format
cln::float_format_t prec = cln::default_float_format;
- const cln::cl_N value = x.to_cl_N();
+ const cln::cl_N value = x;
// second guess: the argument's format
- if (!x.real().is_rational())
+ if (!instanceof(realpart(value), cln::cl_RA_ring))
prec = cln::float_format(cln::the<cln::cl_F>(cln::realpart(value)));
- else if (!x.imag().is_rational())
+ else if (!instanceof(imagpart(value), cln::cl_RA_ring))
prec = cln::float_format(cln::the<cln::cl_F>(cln::imagpart(value)));
-
// [Kol] (5.3)
- if (cln::realpart(value) < -0.5) {
+ // the condition abs(1-value)>1 avoids an infinite recursion in the region abs(value)<=1 && abs(value)>0.95 && abs(1-value)<=1 && abs(1-value)>0.95
+ // we don't care here about abs(value)<1 && real(value)>0.5, this will be taken care of in S_projection
+ if ((cln::realpart(value) < -0.5) || (n == 0) || ((cln::abs(value) <= 1) && (cln::abs(value) > 0.95) && (cln::abs(1-value) > 1) )) {
cln::cl_N result = cln::expt(cln::cl_I(-1),p) * cln::expt(cln::log(value),n)
* cln::expt(cln::log(1-value),p) / cln::factorial(n) / cln::factorial(p);
cln::cl_N res2;
for (int r=0; r<p; r++) {
res2 = res2 + cln::expt(cln::cl_I(-1),r) * cln::expt(cln::log(1-value),r)
- * S_num(p-r,n-s,1-value).to_cl_N() / cln::factorial(r);
+ * S_num(p-r,n-s,1-value) / cln::factorial(r);
}
- result = result + cln::expt(cln::log(value),s) * (S_num(n-s,p,1).to_cl_N() - res2) / cln::factorial(s);
+ result = result + cln::expt(cln::log(value),s) * (S_num(n-s,p,1) - res2) / cln::factorial(s);
}
return result;
for (int r=0; r<=s; r++) {
result = result + cln::expt(cln::cl_I(-1),s) * cln::expt(cln::log(-value),r) * cln::factorial(n+s-r-1)
/ cln::factorial(r) / cln::factorial(s-r) / cln::factorial(n-1)
- * S_num(n+s-r,p-s,cln::recip(value)).to_cl_N();
+ * S_num(n+s-r,p-s,cln::recip(value));
}
}
result = result * cln::expt(cln::cl_I(-1),n);
return result;
}
+
+ if ((cln::abs(value) > 0.95) && (cln::abs(value-9.53) < 9.47)) {
+ lst m;
+ m.append(n+1);
+ for (int s=0; s<p-1; s++)
+ m.append(1);
+
+ ex res = H(m,numeric(value)).evalf();
+ return ex_to<numeric>(res).to_cl_N();
+ }
else {
return S_projection(n, p, value, prec);
}
static ex S_evalf(const ex& n, const ex& p, const ex& x)
{
- if (n.info(info_flags::posint) && p.info(info_flags::posint) && is_a<numeric>(x)) {
- return S_num(ex_to<numeric>(n).to_int(), ex_to<numeric>(p).to_int(), ex_to<numeric>(x));
+ if (n.info(info_flags::posint) && p.info(info_flags::posint)) {
+ const int n_ = ex_to<numeric>(n).to_int();
+ const int p_ = ex_to<numeric>(p).to_int();
+ if (is_a<numeric>(x)) {
+ const cln::cl_N x_ = ex_to<numeric>(x).to_cl_N();
+ const cln::cl_N result = S_num(n_, p_, x_);
+ return numeric(result);
+ } else {
+ ex x_val = x.evalf();
+ if (is_a<numeric>(x_val)) {
+ const cln::cl_N x_val_ = ex_to<numeric>(x_val).to_cl_N();
+ const cln::cl_N result = S_num(n_, p_, x_val_);
+ return numeric(result);
+ }
+ }
}
return S(n, p, x).hold();
}
return _ex0;
}
if (x == 1) {
- lst m(n+1);
+ lst m{n+1};
for (int i=ex_to<numeric>(p).to_int()-1; i>0; i--) {
m.append(1);
}
return Li(n+1, x);
}
if (x.info(info_flags::numeric) && (!x.info(info_flags::crational))) {
- return S_num(ex_to<numeric>(n).to_int(), ex_to<numeric>(p).to_int(), ex_to<numeric>(x));
+ int n_ = ex_to<numeric>(n).to_int();
+ int p_ = ex_to<numeric>(p).to_int();
+ const cln::cl_N x_ = ex_to<numeric>(x).to_cl_N();
+ const cln::cl_N result = S_num(n_, p_, x_);
+ return numeric(result);
}
}
+ if (n.is_zero()) {
+ // [Kol] (5.3)
+ return pow(-log(1-x), p) / factorial(p);
+ }
return S(n, p, x).hold();
}
static ex S_series(const ex& n, const ex& p, const ex& x, const relational& rel, int order, unsigned options)
{
- epvector seq;
- seq.push_back(expair(S(n, p, x), 0));
- return pseries(rel, seq);
+ if (p == _ex1) {
+ return Li(n+1, x).series(rel, order, options);
+ }
+
+ const ex x_pt = x.subs(rel, subs_options::no_pattern);
+ if (n.info(info_flags::posint) && p.info(info_flags::posint) && x_pt.info(info_flags::numeric)) {
+ // First special case: x==0 (derivatives have poles)
+ if (x_pt.is_zero()) {
+ const symbol s;
+ ex ser;
+ // manually construct the primitive expansion
+ // subsum = Euler-Zagier-Sum is needed
+ // dirty hack (slow ...) calculation of subsum:
+ std::vector<ex> presubsum, subsum;
+ subsum.push_back(0);
+ for (int i=1; i<order-1; ++i) {
+ subsum.push_back(subsum[i-1] + numeric(1, i));
+ }
+ for (int depth=2; depth<p; ++depth) {
+ presubsum = subsum;
+ for (int i=1; i<order-1; ++i) {
+ subsum[i] = subsum[i-1] + numeric(1, i) * presubsum[i-1];
+ }
+ }
+
+ for (int i=1; i<order; ++i) {
+ ser += pow(s,i) / pow(numeric(i), n+1) * subsum[i-1];
+ }
+ // substitute the argument's series expansion
+ ser = ser.subs(s==x.series(rel, order), subs_options::no_pattern);
+ // maybe that was terminating, so add a proper order term
+ epvector nseq { expair(Order(_ex1), order) };
+ ser += pseries(rel, std::move(nseq));
+ // reexpanding it will collapse the series again
+ return ser.series(rel, order);
+ }
+ // TODO special cases: x==1 (branch point) and x real, >=1 (branch cut)
+ throw std::runtime_error("S_series: don't know how to do the series expansion at this point!");
+ }
+ // all other cases should be safe, by now:
+ throw do_taylor(); // caught by function::series()
}
static void S_print_latex(const ex& n, const ex& p, const ex& x, const print_context& c)
{
- c.s << "\\mbox{S}_{";
+ c.s << "\\mathrm{S}_{";
n.print(c);
c.s << ",";
p.print(c);
namespace {
+// regulates the pole (used by 1/x-transformation)
+symbol H_polesign("IMSIGN");
+
+
// convert parameters from H to Li representation
// parameters are expected to be in expanded form, i.e. only 0, 1 and -1
// returns true if some parameters are negative
{
// expand parameter list
lst mexp;
- for (lst::const_iterator it = l.begin(); it != l.end(); it++) {
- if (*it > 1) {
- for (ex count=*it-1; count > 0; count--) {
+ for (const auto & it : l) {
+ if (it > 1) {
+ for (ex count=it-1; count > 0; count--) {
mexp.append(0);
}
mexp.append(1);
- } else if (*it < -1) {
- for (ex count=*it+1; count < 0; count++) {
+ } else if (it < -1) {
+ for (ex count=it+1; count < 0; count++) {
mexp.append(0);
}
mexp.append(-1);
} else {
- mexp.append(*it);
+ mexp.append(it);
}
}
pf = 1;
bool has_negative_parameters = false;
ex acc = 1;
- for (lst::const_iterator it = mexp.begin(); it != mexp.end(); it++) {
- if (*it == 0) {
+ for (const auto & it : mexp) {
+ if (it == 0) {
acc++;
continue;
}
- if (*it > 0) {
- m.append((*it+acc-1) * signum);
+ if (it > 0) {
+ m.append((it+acc-1) * signum);
} else {
- m.append((*it-acc+1) * signum);
+ m.append((it-acc+1) * signum);
}
acc = 1;
- signum = *it;
- pf *= *it;
+ signum = it;
+ pf *= it;
if (pf < 0) {
has_negative_parameters = true;
}
}
if (has_negative_parameters) {
- for (int i=0; i<m.nops(); i++) {
+ for (std::size_t i=0; i<m.nops(); i++) {
if (m.op(i) < 0) {
m.let_op(i) = -m.op(i);
s.append(-1);
}
}
}
- for (; acc > 1; acc--) {
- throw std::runtime_error("ERROR!");
- m.append(0);
- }
return has_negative_parameters;
}
// recursivly transforms H to corresponding multiple polylogarithms
struct map_trafo_H_convert_to_Li : public map_function
{
- ex operator()(const ex& e)
+ ex operator()(const ex& e) override
{
if (is_a<add>(e) || is_a<mul>(e)) {
return e.map(*this);
if (name == "H") {
lst parameter;
if (is_a<lst>(e.op(0))) {
- parameter = ex_to<lst>(e.op(0));
+ parameter = ex_to<lst>(e.op(0));
} else {
- parameter = lst(e.op(0));
+ parameter = lst{e.op(0)};
}
ex arg = e.op(1);
s.let_op(0) = s.op(0) * arg;
return pf * Li(m, s).hold();
} else {
- for (int i=0; i<m.nops(); i++) {
+ for (std::size_t i=0; i<m.nops(); i++) {
s.append(1);
}
s.let_op(0) = s.op(0) * arg;
// recursivly transforms H to corresponding zetas
struct map_trafo_H_convert_to_zeta : public map_function
{
- ex operator()(const ex& e)
+ ex operator()(const ex& e) override
{
if (is_a<add>(e) || is_a<mul>(e)) {
return e.map(*this);
if (name == "H") {
lst parameter;
if (is_a<lst>(e.op(0))) {
- parameter = ex_to<lst>(e.op(0));
+ parameter = ex_to<lst>(e.op(0));
} else {
- parameter = lst(e.op(0));
+ parameter = lst{e.op(0)};
}
lst m;
// remove trailing zeros from H-parameters
struct map_trafo_H_reduce_trailing_zeros : public map_function
{
- ex operator()(const ex& e)
+ ex operator()(const ex& e) override
{
if (is_a<add>(e) || is_a<mul>(e)) {
return e.map(*this);
if (is_a<lst>(e.op(0))) {
parameter = ex_to<lst>(e.op(0));
} else {
- parameter = lst(e.op(0));
+ parameter = lst{e.op(0)};
}
ex arg = e.op(1);
if (parameter.op(parameter.nops()-1) == 0) {
}
//
- lst::const_iterator it = parameter.begin();
+ auto it = parameter.begin();
while ((it != parameter.end()) && (*it == 0)) {
it++;
}
//
parameter.remove_last();
- int lastentry = parameter.nops();
+ std::size_t lastentry = parameter.nops();
while ((lastentry > 0) && (parameter[lastentry-1] == 0)) {
lastentry--;
}
lst convert_parameter_Li_to_H(const lst& m, const lst& x, ex& pf)
{
lst res;
- lst::const_iterator itm = m.begin();
- lst::const_iterator itx = ++x.begin();
- ex signum = _ex1;
+ auto itm = m.begin();
+ auto itx = ++x.begin();
+ int signum = 1;
pf = _ex1;
res.append(*itm);
itm++;
while (itx != x.end()) {
- signum *= *itx;
+ GINAC_ASSERT((*itx == _ex1) || (*itx == _ex_1));
+ // XXX: 1 + 0.0*I is considered equal to 1. However the former
+ // is not automatically converted to a real number.
+ // Do the conversion explicitly to avoid the
+ // "numeric::operator>(): complex inequality" exception.
+ signum *= (*itx != _ex_1) ? 1 : -1;
pf *= signum;
res.append((*itm) * signum);
itm++;
if (h2nops > 1) {
hlong = ex_to<lst>(h2.op(0));
} else {
- hlong = h2.op(0).op(0);
+ hlong = lst{h2.op(0).op(0)};
}
}
- for (int i=0; i<=hlong.nops(); i++) {
+ for (std::size_t i=0; i<=hlong.nops(); i++) {
lst newparameter;
- int j=0;
+ std::size_t j=0;
for (; j<i; j++) {
newparameter.append(hlong[j]);
}
// applies trafo_H_mult recursively on expressions
struct map_trafo_H_mult : public map_function
{
- ex operator()(const ex& e)
+ ex operator()(const ex& e) override
{
if (is_a<add>(e)) {
return e.map(*this);
ex result = 1;
ex firstH;
lst Hlst;
- for (int pos=0; pos<e.nops(); pos++) {
+ for (std::size_t pos=0; pos<e.nops(); pos++) {
if (is_a<power>(e.op(pos)) && is_a<function>(e.op(pos).op(0))) {
std::string name = ex_to<function>(e.op(pos).op(0)).get_name();
if (name == "H") {
if (Hlst.nops() > 0) {
ex buffer = trafo_H_mult(firstH, Hlst.op(0));
result *= buffer;
- for (int i=1; i<Hlst.nops(); i++) {
+ for (std::size_t i=1; i<Hlst.nops(); i++) {
result *= Hlst.op(i);
}
result = result.expand();
if (name == "H") {
h = e;
} else {
- for (int i=0; i<e.nops(); i++) {
+ for (std::size_t i=0; i<e.nops(); i++) {
if (is_a<function>(e.op(i))) {
std::string name = ex_to<function>(e.op(i)).get_name();
if (name == "H") {
ex addzeta = convert_H_to_zeta(newparameter);
return e.subs(h == (addzeta-H(newparameter, h.op(1)).hold())).expand();
} else {
- return e * (-H(lst(0),1/arg).hold());
+ return e * (-H(lst{ex(0)},1/arg).hold());
+ }
+}
+
+
+// do integration [ReV] (49)
+// put parameter 1 in front of existing parameters
+ex trafo_H_prepend_one(const ex& e, const ex& arg)
+{
+ ex h;
+ std::string name;
+ if (is_a<function>(e)) {
+ name = ex_to<function>(e).get_name();
+ }
+ if (name == "H") {
+ h = e;
+ } else {
+ for (std::size_t i=0; i<e.nops(); i++) {
+ if (is_a<function>(e.op(i))) {
+ std::string name = ex_to<function>(e.op(i)).get_name();
+ if (name == "H") {
+ h = e.op(i);
+ }
+ }
+ }
+ }
+ if (h != 0) {
+ lst newparameter = ex_to<lst>(h.op(0));
+ newparameter.prepend(1);
+ return e.subs(h == H(newparameter, h.op(1)).hold());
+ } else {
+ return e * H(lst{ex(1)},1-arg).hold();
}
}
if (name == "H") {
h = e;
} else {
- for (int i=0; i<e.nops(); i++) {
+ for (std::size_t i=0; i<e.nops(); i++) {
if (is_a<function>(e.op(i))) {
std::string name = ex_to<function>(e.op(i)).get_name();
if (name == "H") {
ex addzeta = convert_H_to_zeta(newparameter);
return e.subs(h == (addzeta-H(newparameter, h.op(1)).hold())).expand();
} else {
- ex addzeta = convert_H_to_zeta(lst(-1));
- return (e * (addzeta - H(lst(-1),1/arg).hold())).expand();
+ ex addzeta = convert_H_to_zeta(lst{ex(-1)});
+ return (e * (addzeta - H(lst{ex(-1)},1/arg).hold())).expand();
}
}
if (name == "H") {
h = e;
} else {
- for (int i=0; i<e.nops(); i++) {
+ for (std::size_t i = 0; i < e.nops(); i++) {
if (is_a<function>(e.op(i))) {
std::string name = ex_to<function>(e.op(i)).get_name();
if (name == "H") {
newparameter.prepend(-1);
return e.subs(h == H(newparameter, h.op(1)).hold()).expand();
} else {
- return (e * H(lst(-1),(1-arg)/(1+arg)).hold()).expand();
+ return (e * H(lst{ex(-1)},(1-arg)/(1+arg)).hold()).expand();
}
}
if (name == "H") {
h = e;
} else {
- for (int i=0; i<e.nops(); i++) {
+ for (std::size_t i = 0; i < e.nops(); i++) {
if (is_a<function>(e.op(i))) {
std::string name = ex_to<function>(e.op(i)).get_name();
if (name == "H") {
newparameter.prepend(1);
return e.subs(h == H(newparameter, h.op(1)).hold()).expand();
} else {
- return (e * H(lst(1),(1-arg)/(1+arg)).hold()).expand();
+ return (e * H(lst{ex(1)},(1-arg)/(1+arg)).hold()).expand();
}
}
+// do x -> 1-x transformation
+struct map_trafo_H_1mx : public map_function
+{
+ ex operator()(const ex& e) override
+ {
+ if (is_a<add>(e) || is_a<mul>(e)) {
+ return e.map(*this);
+ }
+
+ if (is_a<function>(e)) {
+ std::string name = ex_to<function>(e).get_name();
+ if (name == "H") {
+
+ lst parameter = ex_to<lst>(e.op(0));
+ ex arg = e.op(1);
+
+ // special cases if all parameters are either 0, 1 or -1
+ bool allthesame = true;
+ if (parameter.op(0) == 0) {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
+ if (parameter.op(i) != 0) {
+ allthesame = false;
+ break;
+ }
+ }
+ if (allthesame) {
+ lst newparameter;
+ for (int i=parameter.nops(); i>0; i--) {
+ newparameter.append(1);
+ }
+ return pow(-1, parameter.nops()) * H(newparameter, 1-arg).hold();
+ }
+ } else if (parameter.op(0) == -1) {
+ throw std::runtime_error("map_trafo_H_1mx: cannot handle weights equal -1!");
+ } else {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
+ if (parameter.op(i) != 1) {
+ allthesame = false;
+ break;
+ }
+ }
+ if (allthesame) {
+ lst newparameter;
+ for (int i=parameter.nops(); i>0; i--) {
+ newparameter.append(0);
+ }
+ return pow(-1, parameter.nops()) * H(newparameter, 1-arg).hold();
+ }
+ }
+
+ lst newparameter = parameter;
+ newparameter.remove_first();
+
+ if (parameter.op(0) == 0) {
+
+ // leading zero
+ ex res = convert_H_to_zeta(parameter);
+ //ex res = convert_from_RV(parameter, 1).subs(H(wild(1),wild(2))==zeta(wild(1)));
+ map_trafo_H_1mx recursion;
+ ex buffer = recursion(H(newparameter, arg).hold());
+ if (is_a<add>(buffer)) {
+ for (std::size_t i = 0; i < buffer.nops(); i++) {
+ res -= trafo_H_prepend_one(buffer.op(i), arg);
+ }
+ } else {
+ res -= trafo_H_prepend_one(buffer, arg);
+ }
+ return res;
+
+ } else {
+
+ // leading one
+ map_trafo_H_1mx recursion;
+ map_trafo_H_mult unify;
+ ex res = H(lst{ex(1)}, arg).hold() * H(newparameter, arg).hold();
+ std::size_t firstzero = 0;
+ while (parameter.op(firstzero) == 1) {
+ firstzero++;
+ }
+ for (std::size_t i = firstzero-1; i < parameter.nops()-1; i++) {
+ lst newparameter;
+ std::size_t j=0;
+ for (; j<=i; j++) {
+ newparameter.append(parameter[j+1]);
+ }
+ newparameter.append(1);
+ for (; j<parameter.nops()-1; j++) {
+ newparameter.append(parameter[j+1]);
+ }
+ res -= H(newparameter, arg).hold();
+ }
+ res = recursion(res).expand() / firstzero;
+ return unify(res);
+ }
+ }
+ }
+ return e;
+ }
+};
+
+
// do x -> 1/x transformation
struct map_trafo_H_1overx : public map_function
{
- ex operator()(const ex& e)
+ ex operator()(const ex& e) override
{
if (is_a<add>(e) || is_a<mul>(e)) {
return e.map(*this);
// special cases if all parameters are either 0, 1 or -1
bool allthesame = true;
if (parameter.op(0) == 0) {
- for (int i=1; i<parameter.nops(); i++) {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
if (parameter.op(i) != 0) {
allthesame = false;
break;
return pow(-1, parameter.nops()) * H(parameter, 1/arg).hold();
}
} else if (parameter.op(0) == -1) {
- for (int i=1; i<parameter.nops(); i++) {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
if (parameter.op(i) != -1) {
allthesame = false;
break;
}
if (allthesame) {
map_trafo_H_mult unify;
- return unify((pow(H(lst(-1),1/arg).hold() - H(lst(0),1/arg).hold(), parameter.nops())
+ return unify((pow(H(lst{ex(-1)},1/arg).hold() - H(lst{ex(0)},1/arg).hold(), parameter.nops())
/ factorial(parameter.nops())).expand());
}
} else {
- for (int i=1; i<parameter.nops(); i++) {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
if (parameter.op(i) != 1) {
allthesame = false;
break;
}
if (allthesame) {
map_trafo_H_mult unify;
- return unify((pow(H(lst(1),1/arg).hold() + H(lst(0),1/arg).hold() - I*Pi, parameter.nops())
+ return unify((pow(H(lst{ex(1)},1/arg).hold() + H(lst{ex(0)},1/arg).hold() + H_polesign, parameter.nops())
/ factorial(parameter.nops())).expand());
}
}
map_trafo_H_1overx recursion;
ex buffer = recursion(H(newparameter, arg).hold());
if (is_a<add>(buffer)) {
- for (int i=0; i<buffer.nops(); i++) {
+ for (std::size_t i = 0; i < buffer.nops(); i++) {
res += trafo_H_1tx_prepend_zero(buffer.op(i), arg);
}
} else {
map_trafo_H_1overx recursion;
ex buffer = recursion(H(newparameter, arg).hold());
if (is_a<add>(buffer)) {
- for (int i=0; i<buffer.nops(); i++) {
+ for (std::size_t i = 0; i < buffer.nops(); i++) {
res += trafo_H_1tx_prepend_zero(buffer.op(i), arg) - trafo_H_1tx_prepend_minusone(buffer.op(i), arg);
}
} else {
// leading one
map_trafo_H_1overx recursion;
map_trafo_H_mult unify;
- ex res = H(lst(1), arg).hold() * H(newparameter, arg).hold();
- int firstzero = 0;
+ ex res = H(lst{ex(1)}, arg).hold() * H(newparameter, arg).hold();
+ std::size_t firstzero = 0;
while (parameter.op(firstzero) == 1) {
firstzero++;
}
- for (int i=firstzero-1; i<parameter.nops()-1; i++) {
+ for (std::size_t i = firstzero-1; i < parameter.nops() - 1; i++) {
lst newparameter;
- int j=0;
+ std::size_t j = 0;
for (; j<=i; j++) {
newparameter.append(parameter[j+1]);
}
// do x -> (1-x)/(1+x) transformation
struct map_trafo_H_1mxt1px : public map_function
{
- ex operator()(const ex& e)
+ ex operator()(const ex& e) override
{
if (is_a<add>(e) || is_a<mul>(e)) {
return e.map(*this);
// special cases if all parameters are either 0, 1 or -1
bool allthesame = true;
if (parameter.op(0) == 0) {
- for (int i=1; i<parameter.nops(); i++) {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
if (parameter.op(i) != 0) {
allthesame = false;
break;
}
if (allthesame) {
map_trafo_H_mult unify;
- return unify((pow(-H(lst(1),(1-arg)/(1+arg)).hold() - H(lst(-1),(1-arg)/(1+arg)).hold(), parameter.nops())
+ return unify((pow(-H(lst{ex(1)},(1-arg)/(1+arg)).hold() - H(lst{ex(-1)},(1-arg)/(1+arg)).hold(), parameter.nops())
/ factorial(parameter.nops())).expand());
}
} else if (parameter.op(0) == -1) {
- for (int i=1; i<parameter.nops(); i++) {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
if (parameter.op(i) != -1) {
allthesame = false;
break;
}
if (allthesame) {
map_trafo_H_mult unify;
- return unify((pow(log(2) - H(lst(-1),(1-arg)/(1+arg)).hold(), parameter.nops())
+ return unify((pow(log(2) - H(lst{ex(-1)},(1-arg)/(1+arg)).hold(), parameter.nops())
/ factorial(parameter.nops())).expand());
}
} else {
- for (int i=1; i<parameter.nops(); i++) {
+ for (std::size_t i = 1; i < parameter.nops(); i++) {
if (parameter.op(i) != 1) {
allthesame = false;
break;
}
if (allthesame) {
map_trafo_H_mult unify;
- return unify((pow(-log(2) - H(lst(0),(1-arg)/(1+arg)).hold() + H(lst(-1),(1-arg)/(1+arg)).hold(), parameter.nops())
+ return unify((pow(-log(2) - H(lst{ex(0)},(1-arg)/(1+arg)).hold() + H(lst{ex(-1)},(1-arg)/(1+arg)).hold(), parameter.nops())
/ factorial(parameter.nops())).expand());
}
}
map_trafo_H_1mxt1px recursion;
ex buffer = recursion(H(newparameter, arg).hold());
if (is_a<add>(buffer)) {
- for (int i=0; i<buffer.nops(); i++) {
+ for (std::size_t i = 0; i < buffer.nops(); i++) {
res -= trafo_H_1mxt1px_prepend_one(buffer.op(i), arg) + trafo_H_1mxt1px_prepend_minusone(buffer.op(i), arg);
}
} else {
map_trafo_H_1mxt1px recursion;
ex buffer = recursion(H(newparameter, arg).hold());
if (is_a<add>(buffer)) {
- for (int i=0; i<buffer.nops(); i++) {
+ for (std::size_t i = 0; i < buffer.nops(); i++) {
res -= trafo_H_1mxt1px_prepend_minusone(buffer.op(i), arg);
}
} else {
// leading one
map_trafo_H_1mxt1px recursion;
map_trafo_H_mult unify;
- ex res = H(lst(1), arg).hold() * H(newparameter, arg).hold();
- int firstzero = 0;
+ ex res = H(lst{ex(1)}, arg).hold() * H(newparameter, arg).hold();
+ std::size_t firstzero = 0;
while (parameter.op(firstzero) == 1) {
firstzero++;
}
- for (int i=firstzero-1; i<parameter.nops()-1; i++) {
+ for (std::size_t i = firstzero - 1; i < parameter.nops() - 1; i++) {
lst newparameter;
- int j=0;
+ std::size_t j=0;
for (; j<=i; j++) {
newparameter.append(parameter[j+1]);
}
static ex H_evalf(const ex& x1, const ex& x2)
{
- if (is_a<lst>(x1) && is_a<numeric>(x2)) {
- for (int i=0; i<x1.nops(); i++) {
+ if (is_a<lst>(x1)) {
+
+ cln::cl_N x;
+ if (is_a<numeric>(x2)) {
+ x = ex_to<numeric>(x2).to_cl_N();
+ } else {
+ ex x2_val = x2.evalf();
+ if (is_a<numeric>(x2_val)) {
+ x = ex_to<numeric>(x2_val).to_cl_N();
+ }
+ }
+
+ for (std::size_t i = 0; i < x1.nops(); i++) {
if (!x1.op(i).info(info_flags::integer)) {
- return H(x1,x2).hold();
+ return H(x1, x2).hold();
}
}
if (x1.nops() < 1) {
- return H(x1,x2).hold();
+ return H(x1, x2).hold();
}
- cln::cl_N x = ex_to<numeric>(x2).to_cl_N();
-
const lst& morg = ex_to<lst>(x1);
// remove trailing zeros ...
if (*(--morg.end()) == 0) {
}
// ... and expand parameter notation
lst m;
- for (lst::const_iterator it = morg.begin(); it != morg.end(); it++) {
- if (*it > 1) {
- for (ex count=*it-1; count > 0; count--) {
+ for (const auto & it : morg) {
+ if (it > 1) {
+ for (ex count=it-1; count > 0; count--) {
m.append(0);
}
m.append(1);
- } else if (*it < -1) {
- for (ex count=*it+1; count < 0; count++) {
+ } else if (it <= -1) {
+ for (ex count=it+1; count < 0; count++) {
m.append(0);
}
m.append(-1);
} else {
- m.append(*it);
+ m.append(it);
}
}
- // since the transformations produce a lot of terms, they are only efficient for
- // argument near one.
- // no transformation needed -> do summation
+ // do summation
if (cln::abs(x) < 0.95) {
lst m_lst;
lst s_lst;
// negative parameters -> s_lst is filled
std::vector<int> m_int;
std::vector<cln::cl_N> x_cln;
- for (lst::const_iterator it_int = m_lst.begin(), it_cln = s_lst.begin();
+ for (auto it_int = m_lst.begin(), it_cln = s_lst.begin();
it_int != m_lst.end(); it_int++, it_cln++) {
m_int.push_back(ex_to<numeric>(*it_int).to_int());
x_cln.push_back(ex_to<numeric>(*it_cln).to_cl_N());
return Li(m_lst.op(0), x2).evalf();
}
std::vector<int> m_int;
- for (lst::const_iterator it = m_lst.begin(); it != m_lst.end(); it++) {
- m_int.push_back(ex_to<numeric>(*it).to_int());
+ for (const auto & it : m_lst) {
+ m_int.push_back(ex_to<numeric>(it).to_int());
}
return numeric(H_do_sum(m_int, x));
}
}
+ symbol xtemp("xtemp");
ex res = 1;
// ensure that the realpart of the argument is positive
if (cln::realpart(x) < 0) {
x = -x;
- for (int i=0; i<m.nops(); i++) {
+ for (std::size_t i = 0; i < m.nops(); i++) {
if (m.op(i) != 0) {
m.let_op(i) = -m.op(i);
res *= -1;
}
}
- // choose transformations
- symbol xtemp("xtemp");
- if (cln::abs(x-1) < 1.4142) {
+ // x -> 1/x
+ if (cln::abs(x) >= 2.0) {
+ map_trafo_H_1overx trafo;
+ res *= trafo(H(m, xtemp).hold());
+ if (cln::imagpart(x) <= 0) {
+ res = res.subs(H_polesign == -I*Pi);
+ } else {
+ res = res.subs(H_polesign == I*Pi);
+ }
+ return res.subs(xtemp == numeric(x)).evalf();
+ }
+
+ // check for letters (-1)
+ bool has_minus_one = false;
+ for (const auto & it : m) {
+ if (it == -1)
+ has_minus_one = true;
+ }
+
+ // check transformations for 0.95 <= |x| < 2.0
+
+ // |(1-x)/(1+x)| < 0.9 -> circular area with center=9.53+0i and radius=9.47
+ if (cln::abs(x-9.53) <= 9.47) {
// x -> (1-x)/(1+x)
map_trafo_H_1mxt1px trafo;
- res *= trafo(H(m, xtemp));
+ res *= trafo(H(m, xtemp).hold());
} else {
- // x -> 1/x
- map_trafo_H_1overx trafo;
- res *= trafo(H(m, xtemp));
+ // x -> 1-x
+ if (has_minus_one) {
+ map_trafo_H_convert_to_Li filter;
+ return filter(H(m, numeric(x)).hold()).evalf();
+ }
+ map_trafo_H_1mx trafo;
+ res *= trafo(H(m, xtemp).hold());
}
- // simplify result
-// TODO
-// map_trafo_H_convert converter;
-// res = converter(res).expand();
-// lst ll;
-// res.find(H(wild(1),wild(2)), ll);
-// res.find(zeta(wild(1)), ll);
-// res.find(zeta(wild(1),wild(2)), ll);
-// res = res.collect(ll);
-
return res.subs(xtemp == numeric(x)).evalf();
}
if (is_a<lst>(m_)) {
m = ex_to<lst>(m_);
} else {
- m = lst(m_);
+ m = lst{m_};
}
if (m.nops() == 0) {
return _ex1;
pos1 = *m.begin();
p = _ex1;
}
- for (lst::const_iterator it = ++m.begin(); it != m.end(); it++) {
- if ((*it).info(info_flags::integer)) {
+ for (auto it = ++m.begin(); it != m.end(); it++) {
+ if (it->info(info_flags::integer)) {
if (step == 0) {
if (*it > _ex1) {
if (pos1 == _ex0) {
static ex H_series(const ex& m, const ex& x, const relational& rel, int order, unsigned options)
{
- epvector seq;
- seq.push_back(expair(H(m, x), 0));
- return pseries(rel, seq);
+ epvector seq { expair(H(m, x), 0) };
+ return pseries(rel, std::move(seq));
}
if (is_a<lst>(m_)) {
m = ex_to<lst>(m_);
} else {
- m = lst(m_);
+ m = lst{m_};
}
ex mb = *m.begin();
if (mb > _ex1) {
if (is_a<lst>(m_)) {
m = ex_to<lst>(m_);
} else {
- m = lst(m_);
+ m = lst{m_};
}
- c.s << "\\mbox{H}_{";
- lst::const_iterator itm = m.begin();
+ c.s << "\\mathrm{H}_{";
+ auto itm = m.begin();
(*itm).print(c);
itm++;
for (; itm != m.end(); itm++) {
map_trafo_H_reduce_trailing_zeros filter;
map_trafo_H_convert_to_Li filter2;
if (is_a<lst>(m)) {
- return filter2(filter(H(m, x).hold())).eval();
+ return filter2(filter(H(m, x).hold()));
} else {
- return filter2(filter(H(lst(m), x).hold())).eval();
+ return filter2(filter(H(lst{m}, x).hold()));
}
}
// parameters and data for [Cra] algorithm
const cln::cl_N lambda = cln::cl_N("319/320");
-int L1;
-int L2;
-std::vector<std::vector<cln::cl_N> > f_kj;
-std::vector<cln::cl_N> crB;
-std::vector<std::vector<cln::cl_N> > crG;
-std::vector<cln::cl_N> crX;
-
void halfcyclic_convolute(const std::vector<cln::cl_N>& a, const std::vector<cln::cl_N>& b, std::vector<cln::cl_N>& c)
{
// [Cra] section 4
-void initcX(const std::vector<int>& s)
+static void initcX(std::vector<cln::cl_N>& crX,
+ const std::vector<int>& s,
+ const int L2)
{
- const int k = s.size();
-
- crX.clear();
- crG.clear();
- crB.clear();
-
- for (int i=0; i<=L2; i++) {
- crB.push_back(bernoulli(i).to_cl_N() / cln::factorial(i));
- }
+ std::vector<cln::cl_N> crB(L2 + 1);
+ for (int i=0; i<=L2; i++)
+ crB[i] = bernoulli(i).to_cl_N() / cln::factorial(i);
int Sm = 0;
int Smp1 = 0;
- for (int m=0; m<k-1; m++) {
- std::vector<cln::cl_N> crGbuf;
- Sm = Sm + s[m];
+ std::vector<std::vector<cln::cl_N>> crG(s.size() - 1, std::vector<cln::cl_N>(L2 + 1));
+ for (int m=0; m < (int)s.size() - 1; m++) {
+ Sm += s[m];
Smp1 = Sm + s[m+1];
- for (int i=0; i<=L2; i++) {
- crGbuf.push_back(cln::factorial(i + Sm - m - 2) / cln::factorial(i + Smp1 - m - 2));
- }
- crG.push_back(crGbuf);
+ for (int i = 0; i <= L2; i++)
+ crG[m][i] = cln::factorial(i + Sm - m - 2) / cln::factorial(i + Smp1 - m - 2);
}
crX = crB;
- for (int m=0; m<k-1; m++) {
- std::vector<cln::cl_N> Xbuf;
- for (int i=0; i<=L2; i++) {
- Xbuf.push_back(crX[i] * crG[m][i]);
- }
+ for (std::size_t m = 0; m < s.size() - 1; m++) {
+ std::vector<cln::cl_N> Xbuf(L2 + 1);
+ for (int i = 0; i <= L2; i++)
+ Xbuf[i] = crX[i] * crG[m][i];
+
halfcyclic_convolute(Xbuf, crB, crX);
}
}
// [Cra] section 4
-cln::cl_N crandall_Y_loop(const cln::cl_N& Sqk)
+static cln::cl_N crandall_Y_loop(const cln::cl_N& Sqk,
+ const std::vector<cln::cl_N>& crX)
{
cln::cl_F one = cln::cl_float(1, cln::float_format(Digits));
cln::cl_N factor = cln::expt(lambda, Sqk);
factor = factor * lambda;
N++;
res = res + crX[N] * factor / (N+Sqk);
- } while ((res != resbuf) || cln::zerop(crX[N]));
+ } while (((res != resbuf) || cln::zerop(crX[N])) && (N+1 < crX.size()));
return res;
}
// [Cra] section 4
-void calc_f(int maxr)
+static void calc_f(std::vector<std::vector<cln::cl_N>>& f_kj,
+ const int maxr, const int L1)
{
- f_kj.clear();
- f_kj.resize(L1);
-
cln::cl_N t0, t1, t2, t3, t4;
int i, j, k;
- std::vector<std::vector<cln::cl_N> >::iterator it = f_kj.begin();
+ auto it = f_kj.begin();
cln::cl_F one = cln::cl_float(1, cln::float_format(Digits));
t0 = cln::exp(-lambda);
// [Cra] (3.1)
-cln::cl_N crandall_Z(const std::vector<int>& s)
+static cln::cl_N crandall_Z(const std::vector<int>& s,
+ const std::vector<std::vector<cln::cl_N>>& f_kj)
{
const int j = s.size();
t0buf = t0;
q++;
t0 = t0 + f_kj[q+j-2][s[0]-1];
- } while (t0 != t0buf);
+ } while ((t0 != t0buf) && (q+j-1 < f_kj.size()));
return t0 / cln::factorial(s[0]-1);
}
t[k] = t[k] + t[k+1] / cln::expt(cln::cl_I(q+j-1-k), s[k]);
}
t[0] = t[0] + t[1] * f_kj[q+j-2][s[0]-1];
- } while (t[0] != t0buf);
+ } while ((t[0] != t0buf) && (q+j-1 < f_kj.size()));
return t[0] / cln::factorial(s[0]-1);
}
std::vector<int> r = s;
const int j = r.size();
+ std::size_t L1;
+
// decide on maximal size of f_kj for crandall_Z
if (Digits < 50) {
L1 = 150;
L1 = Digits * 3 + j*2;
}
+ std::size_t L2;
// decide on maximal size of crX for crandall_Y
if (Digits < 38) {
L2 = 63;
L2 = 511;
} else if (Digits < 808) {
L2 = 1023;
- } else {
+ } else if (Digits < 1636) {
L2 = 2047;
+ } else {
+ // [Cra] section 6, log10(lambda/2/Pi) approx -0.79 for lambda=319/320, add some extra digits
+ L2 = std::pow(2, ceil( std::log2((long(Digits))/0.79 + 40 )) ) - 1;
}
cln::cl_N res;
}
}
- calc_f(maxr);
+ std::vector<std::vector<cln::cl_N>> f_kj(L1);
+ calc_f(f_kj, maxr, L1);
const cln::cl_N r0factorial = cln::factorial(r[0]-1);
Srun -= skp1buf;
r.pop_back();
- initcX(r);
+ std::vector<cln::cl_N> crX;
+ initcX(crX, r, L2);
for (int q=0; q<skp1buf; q++) {
- cln::cl_N pp1 = crandall_Y_loop(Srun+q-k);
- cln::cl_N pp2 = crandall_Z(rz);
+ cln::cl_N pp1 = crandall_Y_loop(Srun+q-k, crX);
+ cln::cl_N pp2 = crandall_Z(rz, f_kj);
rz.front()--;
}
rz.insert(rz.begin(), r.back());
- initcX(rz);
+ std::vector<cln::cl_N> crX;
+ initcX(crX, rz, L2);
- res = (res + crandall_Y_loop(S-j)) / r0factorial + crandall_Z(rz);
+ res = (res + crandall_Y_loop(S-j, crX)) / r0factorial
+ + crandall_Z(rz, f_kj);
return res;
}
s_p[0] = s_p[0] * cln::cl_N("1/2");
// convert notations
int sig = 1;
- for (int i=0; i<s_.size(); i++) {
+ for (std::size_t i = 0; i < s_.size(); i++) {
if (s_[i] < 0) {
sig = -sig;
s_p[i] = -s_p[i];
const int count = x.nops();
const lst& xlst = ex_to<lst>(x);
std::vector<int> r(count);
+ std::vector<int> si(count);
// check parameters and convert them
- lst::const_iterator it1 = xlst.begin();
- std::vector<int>::iterator it2 = r.begin();
+ auto it1 = xlst.begin();
+ auto it2 = r.begin();
+ auto it_swrite = si.begin();
do {
if (!(*it1).info(info_flags::posint)) {
return zeta(x).hold();
}
*it2 = ex_to<numeric>(*it1).to_int();
+ *it_swrite = 1;
it1++;
it2++;
+ it_swrite++;
} while (it2 != r.end());
// check for divergence
return zeta(x).hold();
}
+ // use Hoelder convolution if Digits is large
+ if (Digits>50)
+ return numeric(zeta_do_Hoelder_convolution(r, si));
+
// decide on summation algorithm
// this is still a bit clumsy
int limit = (Digits>17) ? 10 : 6;
if (y.is_zero()) {
return _ex_1_2;
}
- if (y.is_equal(_num1)) {
+ if (y.is_equal(*_num1_p)) {
return zeta(m).hold();
}
if (y.info(info_flags::posint)) {
if (y.info(info_flags::odd)) {
return zeta(m).hold();
} else {
- return abs(bernoulli(y)) * pow(Pi, y) * pow(_num2, y-_num1) / factorial(y);
+ return abs(bernoulli(y)) * pow(Pi, y) * pow(*_num2_p, y-(*_num1_p)) / factorial(y);
}
} else {
if (y.info(info_flags::odd)) {
- return -bernoulli(_num1-y) / (_num1-y);
+ return -bernoulli((*_num1_p)-y) / ((*_num1_p)-y);
} else {
return _ex0;
}
c.s << "\\zeta(";
if (is_a<lst>(m_)) {
const lst& m = ex_to<lst>(m_);
- lst::const_iterator it = m.begin();
+ auto it = m.begin();
(*it).print(c);
it++;
for (; it != m.end(); it++) {
}
-unsigned zeta1_SERIAL::serial = function::register_new(function_options("zeta").
+unsigned zeta1_SERIAL::serial = function::register_new(function_options("zeta", 1).
evalf_func(zeta1_evalf).
eval_func(zeta1_eval).
derivative_func(zeta1_deriv).
std::vector<int> si(count);
// check parameters and convert them
- lst::const_iterator it_xread = xlst.begin();
- lst::const_iterator it_sread = slst.begin();
- std::vector<int>::iterator it_xwrite = xi.begin();
- std::vector<int>::iterator it_swrite = si.begin();
+ auto it_xread = xlst.begin();
+ auto it_sread = slst.begin();
+ auto it_xwrite = xi.begin();
+ auto it_swrite = si.begin();
do {
if (!(*it_xread).info(info_flags::posint)) {
return zeta(x, s).hold();
return numeric(zeta_do_Hoelder_convolution(xi, si));
}
- return zeta(x, s).hold();
+ // x and s are not lists: convert to lists
+ return zeta(lst{x}, lst{s}).evalf();
}
{
if (is_exactly_a<lst>(s_)) {
const lst& s = ex_to<lst>(s_);
- for (lst::const_iterator it = s.begin(); it != s.end(); it++) {
- if ((*it).info(info_flags::positive)) {
+ for (const auto & it : s) {
+ if (it.info(info_flags::positive)) {
continue;
}
return zeta(m, s_).hold();
if (is_a<lst>(m_)) {
m = ex_to<lst>(m_);
} else {
- m = lst(m_);
+ m = lst{m_};
}
lst s;
if (is_a<lst>(s_)) {
s = ex_to<lst>(s_);
} else {
- s = lst(s_);
+ s = lst{s_};
}
c.s << "\\zeta(";
- lst::const_iterator itm = m.begin();
- lst::const_iterator its = s.begin();
+ auto itm = m.begin();
+ auto its = s.begin();
if (*its < 0) {
c.s << "\\overline{";
(*itm).print(c);
}
-unsigned zeta2_SERIAL::serial = function::register_new(function_options("zeta").
+unsigned zeta2_SERIAL::serial = function::register_new(function_options("zeta", 2).
evalf_func(zeta2_evalf).
eval_func(zeta2_eval).
derivative_func(zeta2_deriv).