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kreckel |
1.1 |
// Computation of arctan(1/m) (m integer) to high precision.
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kreckel |
1.2 |
#include "cln/integer.h"
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#include "cln/rational.h"
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#include "cln/real.h"
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#include "cln/lfloat.h"
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kreckel |
1.1 |
#include "cl_LF.h"
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#include "cl_LF_tran.h"
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#include "cl_alloca.h"
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kreckel |
1.3 |
#include <cstdlib>
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#include <cstring>
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kreckel |
1.2 |
#include "cln/timing.h"
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kreckel |
1.1 |
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#undef floor
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kreckel |
1.3 |
#include <cmath>
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kreckel |
1.1 |
#define floor cln_floor
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kreckel |
1.2 |
using namespace cln;
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kreckel |
1.1 |
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// Method 1: atan(1/m) = sum(n=0..infty, (-1)^n/(2n+1) * 1/m^(2n+1))
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// Method 2: atan(1/m) = sum(n=0..infty, 4^n*n!^2/(2n+1)! * m/(m^2+1)^(n+1))
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// a. Using long floats. [N^2]
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// b. Simulating long floats using integers. [N^2]
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// c. Using integers, no binary splitting. [N^2]
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// d. Using integers, with binary splitting. [FAST]
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// Method 3: general built-in algorithm. [FAST]
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// Method 1: atan(1/m) = sum(n=0..infty, (-1)^n/(2n+1) * 1/m^(2n+1))
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const cl_LF atan_recip_1a (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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kreckel |
1.4 |
var cl_LF eps = scale_float(cl_I_to_LF(1,actuallen),-intDsize*(sintC)actuallen);
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kreckel |
1.1 |
var cl_I m2 = m*m;
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var cl_LF fterm = cl_I_to_LF(1,actuallen)/m;
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var cl_LF fsum = fterm;
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kreckel |
1.4 |
for (var uintC n = 1; fterm >= eps; n++) {
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kreckel |
1.1 |
fterm = fterm/m2;
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fterm = cl_LF_shortenwith(fterm,eps);
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if ((n % 2) == 0)
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fsum = fsum + LF_to_LF(fterm/(2*n+1),actuallen);
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else
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fsum = fsum - LF_to_LF(fterm/(2*n+1),actuallen);
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}
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return shorten(fsum,len);
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}
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const cl_LF atan_recip_1b (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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var cl_I m2 = m*m;
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var cl_I fterm = floor1((cl_I)1 << (intDsize*actuallen), m);
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var cl_I fsum = fterm;
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kreckel |
1.4 |
for (var uintC n = 1; fterm > 0; n++) {
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kreckel |
1.1 |
fterm = floor1(fterm,m2);
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if ((n % 2) == 0)
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fsum = fsum + floor1(fterm,2*n+1);
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else
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fsum = fsum - floor1(fterm,2*n+1);
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}
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kreckel |
1.4 |
return scale_float(cl_I_to_LF(fsum,len),-intDsize*(sintC)actuallen);
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kreckel |
1.1 |
}
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const cl_LF atan_recip_1c (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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var cl_I m2 = m*m;
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kreckel |
1.4 |
var sintC N = (sintC)(0.69314718*intDsize/2*actuallen/log(double_approx(m))) + 1;
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kreckel |
1.1 |
var cl_I num = 0, den = 1; // "lazy rational number"
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kreckel |
1.4 |
for (sintC n = N-1; n>=0; n--) {
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kreckel |
1.1 |
// Multiply sum with 1/m^2:
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den = den * m2;
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// Add (-1)^n/(2n+1):
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if ((n % 2) == 0)
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num = num*(2*n+1) + den;
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else
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num = num*(2*n+1) - den;
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den = den*(2*n+1);
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}
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den = den*m;
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var cl_LF result = cl_I_to_LF(num,actuallen)/cl_I_to_LF(den,actuallen);
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return shorten(result,len);
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}
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const cl_LF atan_recip_1d (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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var cl_I m2 = m*m;
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kreckel |
1.4 |
var uintC N = (uintC)(0.69314718*intDsize/2*actuallen/log(double_approx(m))) + 1;
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kreckel |
1.1 |
CL_ALLOCA_STACK;
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var cl_I* bv = (cl_I*) cl_alloca(N*sizeof(cl_I));
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var cl_I* qv = (cl_I*) cl_alloca(N*sizeof(cl_I));
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kreckel |
1.4 |
var uintC n;
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kreckel |
1.1 |
for (n = 0; n < N; n++) {
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new (&bv[n]) cl_I ((n % 2) == 0 ? (cl_I)(2*n+1) : -(cl_I)(2*n+1));
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new (&qv[n]) cl_I (n==0 ? m : m2);
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}
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var cl_rational_series series;
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series.av = NULL; series.bv = bv;
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series.pv = NULL; series.qv = qv; series.qsv = NULL;
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var cl_LF result = eval_rational_series(N,series,actuallen);
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for (n = 0; n < N; n++) {
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bv[n].~cl_I();
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qv[n].~cl_I();
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}
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return shorten(result,len);
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}
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// Method 2: atan(1/m) = sum(n=0..infty, 4^n*n!^2/(2n+1)! * m/(m^2+1)^(n+1))
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const cl_LF atan_recip_2a (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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kreckel |
1.4 |
var cl_LF eps = scale_float(cl_I_to_LF(1,actuallen),-intDsize*(sintC)actuallen);
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kreckel |
1.1 |
var cl_I m2 = m*m+1;
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var cl_LF fterm = cl_I_to_LF(m,actuallen)/m2;
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var cl_LF fsum = fterm;
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kreckel |
1.4 |
for (var uintC n = 1; fterm >= eps; n++) {
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kreckel |
1.1 |
fterm = The(cl_LF)((2*n)*fterm)/((2*n+1)*m2);
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fterm = cl_LF_shortenwith(fterm,eps);
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fsum = fsum + LF_to_LF(fterm,actuallen);
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}
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return shorten(fsum,len);
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}
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const cl_LF atan_recip_2b (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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var cl_I m2 = m*m+1;
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var cl_I fterm = floor1((cl_I)m << (intDsize*actuallen), m2);
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var cl_I fsum = fterm;
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kreckel |
1.4 |
for (var uintC n = 1; fterm > 0; n++) {
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kreckel |
1.1 |
fterm = floor1((2*n)*fterm,(2*n+1)*m2);
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fsum = fsum + fterm;
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}
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kreckel |
1.4 |
return scale_float(cl_I_to_LF(fsum,len),-intDsize*(sintC)actuallen);
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kreckel |
1.1 |
}
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const cl_LF atan_recip_2c (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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var cl_I m2 = m*m+1;
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kreckel |
1.4 |
var uintC N = (uintC)(0.69314718*intDsize*actuallen/log(double_approx(m2))) + 1;
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kreckel |
1.1 |
var cl_I num = 0, den = 1; // "lazy rational number"
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kreckel |
1.4 |
for (uintC n = N; n>0; n--) {
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kreckel |
1.1 |
// Multiply sum with (2n)/(2n+1)(m^2+1):
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num = num * (2*n);
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den = den * ((2*n+1)*m2);
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// Add 1:
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num = num + den;
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}
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num = num*m;
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den = den*m2;
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var cl_LF result = cl_I_to_LF(num,actuallen)/cl_I_to_LF(den,actuallen);
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return shorten(result,len);
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}
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const cl_LF atan_recip_2d (cl_I m, uintC len)
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{
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var uintC actuallen = len + 1;
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var cl_I m2 = m*m+1;
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kreckel |
1.4 |
var uintC N = (uintC)(0.69314718*intDsize*actuallen/log(double_approx(m2))) + 1;
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kreckel |
1.1 |
CL_ALLOCA_STACK;
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var cl_I* pv = (cl_I*) cl_alloca(N*sizeof(cl_I));
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var cl_I* qv = (cl_I*) cl_alloca(N*sizeof(cl_I));
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kreckel |
1.4 |
var uintC n;
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kreckel |
1.1 |
new (&pv[0]) cl_I (m);
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new (&qv[0]) cl_I (m2);
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for (n = 1; n < N; n++) {
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new (&pv[n]) cl_I (2*n);
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new (&qv[n]) cl_I ((2*n+1)*m2);
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}
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var cl_rational_series series;
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series.av = NULL; series.bv = NULL;
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series.pv = pv; series.qv = qv; series.qsv = NULL;
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var cl_LF result = eval_rational_series(N,series,actuallen);
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for (n = 0; n < N; n++) {
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pv[n].~cl_I();
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qv[n].~cl_I();
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}
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return shorten(result,len);
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}
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// Main program: Compute and display the timings.
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int main (int argc, char * argv[])
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{
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int repetitions = 1;
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if ((argc >= 3) && !strcmp(argv[1],"-r")) {
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repetitions = atoi(argv[2]);
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argc -= 2; argv += 2;
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}
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if (argc < 2)
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exit(1);
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| 198 |
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cl_I m = (cl_I)argv[1];
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| 199 |
kreckel |
1.4 |
uintC len = atol(argv[2]);
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| 200 |
kreckel |
1.1 |
cl_LF p;
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| 201 |
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ln(cl_I_to_LF(1000,len+10)); // fill cache
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// Method 1.
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{ CL_TIMING;
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for (int rep = repetitions; rep > 0; rep--)
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{ p = atan_recip_1a(m,len); }
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}
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cout << p << endl;
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{ CL_TIMING;
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for (int rep = repetitions; rep > 0; rep--)
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{ p = atan_recip_1b(m,len); }
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}
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cout << p << endl;
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{ CL_TIMING;
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for (int rep = repetitions; rep > 0; rep--)
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| 215 |
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{ p = atan_recip_1c(m,len); }
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}
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| 217 |
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cout << p << endl;
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| 218 |
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{ CL_TIMING;
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| 219 |
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for (int rep = repetitions; rep > 0; rep--)
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{ p = atan_recip_1d(m,len); }
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}
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| 222 |
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cout << p << endl;
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| 223 |
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// Method 2.
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{ CL_TIMING;
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for (int rep = repetitions; rep > 0; rep--)
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| 226 |
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{ p = atan_recip_2a(m,len); }
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}
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| 228 |
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cout << p << endl;
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{ CL_TIMING;
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| 230 |
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for (int rep = repetitions; rep > 0; rep--)
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| 231 |
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{ p = atan_recip_2b(m,len); }
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| 232 |
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}
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| 233 |
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cout << p << endl;
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| 234 |
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{ CL_TIMING;
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| 235 |
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for (int rep = repetitions; rep > 0; rep--)
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| 236 |
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{ p = atan_recip_2c(m,len); }
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| 237 |
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}
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| 238 |
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cout << p << endl;
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| 239 |
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{ CL_TIMING;
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| 240 |
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for (int rep = repetitions; rep > 0; rep--)
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| 241 |
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{ p = atan_recip_2d(m,len); }
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| 242 |
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}
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| 243 |
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cout << p << endl;
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| 244 |
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// Method 3.
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| 245 |
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{ CL_TIMING;
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| 246 |
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for (int rep = repetitions; rep > 0; rep--)
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| 247 |
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{ p = The(cl_LF)(atan(cl_RA_to_LF(1/(cl_RA)m,len))); }
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| 248 |
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}
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| 249 |
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cout << p << endl;
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| 250 |
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}
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| 251 |
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| 252 |
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| 253 |
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// Timings of the above algorithms, on an i486 33 MHz, running Linux.
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| 254 |
kreckel |
1.5 |
// m = 390112. (For Jörg Arndt's formula (4.15).)
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| 255 |
kreckel |
1.1 |
// N 1a 1b 1c 1d 2a 2b 2c 2d 3
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| 256 |
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// 10 0.0027 0.0018 0.0019 0.0019 0.0032 0.0022 0.0019 0.0019 0.0042
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| 257 |
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// 25 0.0085 0.0061 0.0058 0.0061 0.0095 0.0069 0.0056 0.0061 0.028
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| 258 |
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// 50 0.024 0.018 0.017 0.017 0.026 0.020 0.016 0.017 0.149
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| 259 |
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// 100 0.075 0.061 0.057 0.054 0.079 0.065 0.052 0.052 0.71
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| 260 |
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// 250 0.41 0.33 0.32 0.26 0.42 0.36 0.28 0.24 3.66
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| 261 |
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// 500 1.57 1.31 1.22 0.88 1.57 1.36 1.10 0.83 13.7
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| 262 |
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// 1000 6.08 5.14 4.56 2.76 6.12 5.36 4.06 2.58 45.5
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| 263 |
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// 2500 36.5 32.2 25.8 10.2 38.4 33.6 22.2 9.1 191
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| 264 |
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// 5000
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| 265 |
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// 10000
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| 266 |
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// asymp. N^2 N^2 N^2 FAST N^2 N^2 N^2 FAST FAST
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| 267 |
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//
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| 268 |
kreckel |
1.5 |
// m = 319. (For Jörg Arndt's formula (4.7).)
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| 269 |
kreckel |
1.1 |
// N 1a 1b 1c 1d 2a 2b 2c 2d 3
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| 270 |
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// 1000 6.06 4.40 9.17 3.82 5.29 3.90 7.50 3.53 50.3
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| 271 |
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//
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| 272 |
kreckel |
1.5 |
// m = 18. (For Jörg Arndt's formula (4.4).)
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| 273 |
kreckel |
1.1 |
// N 1a 1b 1c 1d 2a 2b 2c 2d 3
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| 274 |
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// 1000 11.8 9.0 22.3 6.0 10.2 7.7 17.1 5.7 54.3
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