lammps/lib/colvars/colvar_arithmeticpath.h

130 lines
5.1 KiB
C++

#ifndef ARITHMETICPATHCV_H
#define ARITHMETICPATHCV_H
#include "colvarmodule.h"
#include <vector>
#include <cmath>
#include <iostream>
#include <limits>
namespace ArithmeticPathCV {
using std::vector;
enum path_sz {S, Z};
template <typename element_type, typename scalar_type, path_sz path_type>
class ArithmeticPathBase {
public:
ArithmeticPathBase() {}
virtual ~ArithmeticPathBase() {}
virtual void initialize(size_t p_num_elements, size_t p_total_frames, double p_lambda, const vector<element_type>& p_element, const vector<double>& p_weights);
virtual void updateDistanceToReferenceFrames() = 0;
virtual void computeValue();
virtual void computeDerivatives();
virtual void compute();
protected:
scalar_type lambda;
vector<scalar_type> weights;
size_t num_elements;
size_t total_frames;
vector< vector<element_type> > frame_element_distances;
scalar_type s;
scalar_type z;
vector<element_type> dsdx;
vector<element_type> dzdx;
private:
// intermediate variables
vector<scalar_type> s_numerator_frame;
vector<scalar_type> s_denominator_frame;
scalar_type numerator_s;
scalar_type denominator_s;
scalar_type normalization_factor;
};
template <typename element_type, typename scalar_type, path_sz path_type>
void ArithmeticPathBase<element_type, scalar_type, path_type>::initialize(size_t p_num_elements, size_t p_total_frames, double p_lambda, const vector<element_type>& p_element, const vector<double>& p_weights) {
lambda = p_lambda;
weights = p_weights;
num_elements = p_num_elements;
total_frames = p_total_frames;
frame_element_distances.resize(total_frames, p_element);
for (size_t i_frame = 0; i_frame < frame_element_distances.size(); ++i_frame) {
for (size_t j_elem = 0; j_elem < num_elements; ++j_elem) {
frame_element_distances[i_frame][j_elem].reset();
}
}
s = scalar_type(0);
z = scalar_type(0);
dsdx = p_element;
dzdx = p_element;
s_numerator_frame.resize(total_frames, scalar_type(0));
s_denominator_frame.resize(total_frames, scalar_type(0));
numerator_s = scalar_type(0);
denominator_s = scalar_type(0);
normalization_factor = 1.0 / static_cast<scalar_type>(total_frames - 1);
}
template <typename element_type, typename scalar_type, path_sz path_type>
void ArithmeticPathBase<element_type, scalar_type, path_type>::computeValue() {
updateDistanceToReferenceFrames();
numerator_s = scalar_type(0);
denominator_s = scalar_type(0);
for (size_t i_frame = 0; i_frame < frame_element_distances.size(); ++i_frame) {
scalar_type exponent_tmp = scalar_type(0);
for (size_t j_elem = 0; j_elem < num_elements; ++j_elem) {
exponent_tmp += weights[j_elem] * frame_element_distances[i_frame][j_elem] * weights[j_elem] * frame_element_distances[i_frame][j_elem];
}
exponent_tmp = exponent_tmp * -1.0 * lambda;
// prevent underflow if the argument of cvm::exp is less than -708.4
if (exponent_tmp > -708.4) {
exponent_tmp = cvm::exp(exponent_tmp);
} else {
exponent_tmp = 0;
}
numerator_s += static_cast<scalar_type>(i_frame) * exponent_tmp;
denominator_s += exponent_tmp;
s_numerator_frame[i_frame] = static_cast<scalar_type>(i_frame) * exponent_tmp;
s_denominator_frame[i_frame] = exponent_tmp;
}
s = numerator_s / denominator_s * normalization_factor;
z = -1.0 / lambda * cvm::logn(denominator_s);
}
template <typename element_type, typename scalar_type, path_sz path_type>
void ArithmeticPathBase<element_type, scalar_type, path_type>::compute() {
computeValue();
computeDerivatives();
}
template <typename element_type, typename scalar_type, path_sz path_type>
void ArithmeticPathBase<element_type, scalar_type, path_type>::computeDerivatives() {
for (size_t j_elem = 0; j_elem < num_elements; ++j_elem) {
element_type dsdxj_numerator_part1(dsdx[j_elem]);
element_type dsdxj_numerator_part2(dsdx[j_elem]);
element_type dzdxj_numerator(dsdx[j_elem]);
dsdxj_numerator_part1.reset();
dsdxj_numerator_part2.reset();
dzdxj_numerator.reset();
for (size_t i_frame = 0; i_frame < frame_element_distances.size(); ++i_frame) {
element_type derivative_tmp = -2.0 * lambda * weights[j_elem] * weights[j_elem] * frame_element_distances[i_frame][j_elem];
dsdxj_numerator_part1 += s_numerator_frame[i_frame] * derivative_tmp;
dsdxj_numerator_part2 += s_denominator_frame[i_frame] * derivative_tmp;
dzdxj_numerator += s_denominator_frame[i_frame] * derivative_tmp;
}
dsdxj_numerator_part1 *= denominator_s;
dsdxj_numerator_part2 *= numerator_s;
if ((dsdxj_numerator_part1 - dsdxj_numerator_part2).norm() < std::numeric_limits<scalar_type>::min()) {
dsdx[j_elem] = 0;
} else {
dsdx[j_elem] = (dsdxj_numerator_part1 - dsdxj_numerator_part2) / (denominator_s * denominator_s) * normalization_factor;
}
dzdx[j_elem] = -1.0 / lambda * dzdxj_numerator / denominator_s;
}
}
}
#endif // ARITHMETICPATHCV_H