Revision 96344048632acd7871b0a92ac903fc07575517f4 authored by TolisChal on 07 December 2020, 16:23:16 UTC, committed by TolisChal on 07 December 2020, 16:23:16 UTC
volume_sob_hpolytope.cpp
// VolEsti (volume computation and sampling library)
// Copyright (c) 2012-2020 Vissarion Fisikopoulos
// Copyright (c) 2018-2020 Apostolos Chalkis
// Licensed under GNU LGPL.3, see LICENCE file
#include "doctest.h"
#include <fstream>
#include <iostream>
#include "misc.h"
#include "random.hpp"
#include "random/uniform_int.hpp"
#include "random/normal_distribution.hpp"
#include "random/uniform_real_distribution.hpp"
#include "random_walks/random_walks.hpp"
#include "volume/volume_sequence_of_balls.hpp"
#include "volume/volume_cooling_gaussians.hpp"
#include "volume/volume_cooling_balls.hpp"
#include "known_polytope_generators.h"
template <typename NT>
NT factorial(NT n)
{
return (n == 1 || n == 0) ? 1 : factorial(n - 1) * n;
}
template <typename NT>
void test_values(NT volume, NT expected, NT exact)
{
std::cout << "Computed volume " << volume << std::endl;
std::cout << "Expected volume = " << expected << std::endl;
std::cout << "Relative error (expected) = "
<< std::abs((volume-expected)/expected) << std::endl;
std::cout << "Relative error (exact) = "
<< std::abs((volume-exact)/exact) << std::endl;
CHECK((std::abs((volume - exact)/exact) < 0.2 ||
std::abs((volume - expected)/expected) < 0.00001));
}
template <class Polytope>
void test_volume(Polytope &HP,
double const& expectedBall,
double const& expectedCDHR,
double const& expectedRDHR,
double const& expectedBilliard,
double const& exact)
{
typedef typename Polytope::PointType Point;
typedef typename Point::FT NT;
// Setup the parameters
int walk_len = 10 + HP.dimension()/10;
NT e=1;
// Estimate the volume
std::cout << "Number type: " << typeid(NT).name() << std::endl;
typedef BoostRandomNumberGenerator<boost::mt19937, NT, 3> RNGType;
//TODO: low accuracy in high dimensions
NT volume = volume_sequence_of_balls<BallWalk, RNGType>(HP, e, walk_len);
test_values(volume, expectedBall, exact);
volume = volume_sequence_of_balls<CDHRWalk, RNGType>(HP, e, walk_len);
test_values(volume, expectedCDHR, exact);
volume = volume_sequence_of_balls<RDHRWalk, RNGType>(HP, e, walk_len);
test_values(volume, expectedRDHR, exact);
//TODO: slow and with low accuracy
//volume = volume_sequence_of_balls<BilliardWalk, RNGType>(HP, e, walk_len);
test_values(volume, expectedBilliard, exact);
}
template <typename NT>
void call_test_cube(){
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef HPolytope<Point> Hpolytope;
Hpolytope P;
std::cout << "--- Testing volume of H-cube10" << std::endl;
P = generate_cube<Hpolytope>(10, false);
test_volume(P, 1014.69, 1049.22, 1055.73, 1055.73, 1024);
std::cout << "--- Testing volume of H-cube20" << std::endl;
P = std::move(generate_cube<Hpolytope>(20, false));
test_volume(P, 1.02978e+06, 1056180, 1058830, 1058830, 1048576);
}
template <typename NT>
void call_test_cube_float(){
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef HPolytope<Point> Hpolytope;
Hpolytope P;
/*
std::cout << "--- Testing volume of H-cube10" << std::endl;
P = generate_cube<Hpolytope>(10, false);
test_volume(P, 1000.55, 1024, 1024, 1024, 1024);
std::cout << "--- Testing volume of H-cube20" << std::endl;
P = generate_cube<Hpolytope>(20, false);
test_volume(P,
1114192.7854272256,
1048576,
1048576,
1048576,
1048576);
*/
}
template <typename NT>
void call_test_cross(){
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef HPolytope<Point> Hpolytope;
typedef BoostRandomNumberGenerator<boost::mt19937, NT, 123> RNGType;
std::cout << "--- Testing volume of H-cross10" << std::endl;
Hpolytope P = generate_cross<Hpolytope>(10, false);
test_volume(P,
0.000283788,
0.000280815,
0.000296745,
0.000296745,
0.0002821869);
}
template <typename NT>
void call_test_birk() {
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef HPolytope<Point> Hpolytope;
Hpolytope P;
typedef BoostRandomNumberGenerator<boost::mt19937, NT, 123> RNGType;
std::cout << "--- Testing volume of H-birk3" << std::endl;
P = generate_birkhoff<Hpolytope>(3);
test_volume(P,
0.130806,
0.126776,
0.122177,
0.122177,
0.125);
std::cout << "--- Testing volume of H-birk4" << std::endl;
P = generate_birkhoff<Hpolytope>(4);
test_volume(P,
0.00112925,
0.000898527,
0.000945447,
0.000945447,
0.000970018);
std::cout << "--- Testing volume of H-birk5" << std::endl;
P = generate_birkhoff<Hpolytope>(5);
test_volume(P,
1.8241 * std::pow(10,-7),
2.07943 * std::pow(10,-7),
2.47519e-07,
2.47519e-07,
0.000000225);
std::cout << "--- Testing volume of H-birk6" << std::endl;
P = generate_birkhoff<Hpolytope>(6);
test_volume(P,
5.27883 * std::pow(10,-13),
9.48912 * std::pow(10,-13),
6.96476e-13,
6.96476e-13,
0.0000000000009455459196);
}
template <typename NT>
void call_test_prod_simplex() {
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef HPolytope<Point> Hpolytope;
Hpolytope P;
std::cout << "--- Testing volume of H-prod_simplex5" << std::endl;
P = generate_prod_simplex<Hpolytope>(5);
test_volume(P,
7.35223 * std::pow(10,-5),
6.86576 * std::pow(10,-5),
7.43136 * std::pow(10,-5),
7.43136 * std::pow(10,-5),
std::pow(1.0 / factorial(5.0), 2));
std::cout << "--- Testing volume of H-prod_simplex10" << std::endl;
P = generate_prod_simplex<Hpolytope>(10);
test_volume(P,
7.38925 * std::pow(10,-14),
8.01351 * std::pow(10,-14),
8.27387 * std::pow(10,-14),
8.27387 * std::pow(10,-14),
std::pow(1.0 / factorial(10.0), 2));
std::cout << "--- Testing volume of H-prod_simplex15" << std::endl;
P = generate_prod_simplex<Hpolytope>(15);
test_volume(P,
5.61238 * std::pow(10,-25),
5.87558 * std::pow(10,-25),
5.48179 * std::pow(10,-25),
5.48179 * std::pow(10,-25),
std::pow(1.0 / factorial(15.0), 2));
}
template <typename NT>
void call_test_simplex() {
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef HPolytope<Point> Hpolytope;
Hpolytope P;
std::cout << "--- Testing volume of H-simplex10" << std::endl;
P = generate_simplex<Hpolytope>(10, false);
test_volume(P,
2.98074 * std::pow(10,-7),
2.52756 * std::pow(10,-7),
2.89366 * std::pow(10,-7),
2.89366 * std::pow(10,-7),
1.0 / factorial(10.0));
std::cout << "--- Testing volume of H-simplex20" << std::endl;
P = generate_simplex<Hpolytope>(20, false);
test_volume(P,
4.64611 * std::pow(10,-19),
4.4317 * std::pow(10,-19),
4.16737 * std::pow(10,-19),
4.16737 * std::pow(10,-19),
1.0 / factorial(20.0));
std::cout << "--- Testing volume of H-simplex30" << std::endl;
P = generate_simplex<Hpolytope>(30, false);
test_volume(P,
3.65853 * std::pow(10,-33),
3.86474 * std::pow(10,-33),
4.04136 * std::pow(10,-33),
4.04136 * std::pow(10,-33),
1.0 / factorial(30.0));
}
template <typename NT>
void call_test_skinny_cube() {
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef BoostRandomNumberGenerator<boost::mt19937, NT, 123> RNGType;
typedef HPolytope<Point> Hpolytope;
Hpolytope P;
std::cout << "--- Testing volume of H-skinny_cube10" << std::endl;
//TODO: needs rounding
//P = gen_skinny_cube<Hpolytope>(10);
//test_volume(P, 15591.1, 102400.0);
//std::cout << "--- Testing volume of H-skinny_cube20" << std::endl;
//P = gen_skinny_cube<Hpolytope>(20);
//test_volume(P, 104857600, 104857600.0);
}
TEST_CASE("cube") {
call_test_cube<double>();
call_test_cube_float<float>();
}
TEST_CASE("cross") {
call_test_cross<double>();
}
TEST_CASE("birk") {
call_test_birk<double>();
}
TEST_CASE("prod_simplex") {
call_test_prod_simplex<double>();
}
TEST_CASE("simplex") {
call_test_simplex<double>();
}
TEST_CASE("skinny_cube") {
call_test_skinny_cube<double>();
}
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