RosettaCodeData/Task/Cholesky-decomposition/C++/cholesky-decomposition.cpp

103 lines
3.0 KiB
C++

#include <cassert>
#include <cmath>
#include <iomanip>
#include <iostream>
#include <vector>
template <typename scalar_type> class matrix {
public:
matrix(size_t rows, size_t columns)
: rows_(rows), columns_(columns), elements_(rows * columns) {}
matrix(size_t rows, size_t columns, scalar_type value)
: rows_(rows), columns_(columns), elements_(rows * columns, value) {}
matrix(size_t rows, size_t columns,
const std::initializer_list<std::initializer_list<scalar_type>>& values)
: rows_(rows), columns_(columns), elements_(rows * columns) {
assert(values.size() <= rows_);
size_t i = 0;
for (const auto& row : values) {
assert(row.size() <= columns_);
std::copy(begin(row), end(row), &elements_[i]);
i += columns_;
}
}
size_t rows() const { return rows_; }
size_t columns() const { return columns_; }
const scalar_type& operator()(size_t row, size_t column) const {
assert(row < rows_);
assert(column < columns_);
return elements_[row * columns_ + column];
}
scalar_type& operator()(size_t row, size_t column) {
assert(row < rows_);
assert(column < columns_);
return elements_[row * columns_ + column];
}
private:
size_t rows_;
size_t columns_;
std::vector<scalar_type> elements_;
};
template <typename scalar_type>
void print(std::ostream& out, const matrix<scalar_type>& a) {
size_t rows = a.rows(), columns = a.columns();
out << std::fixed << std::setprecision(5);
for (size_t row = 0; row < rows; ++row) {
for (size_t column = 0; column < columns; ++column) {
if (column > 0)
out << ' ';
out << std::setw(9) << a(row, column);
}
out << '\n';
}
}
template <typename scalar_type>
matrix<scalar_type> cholesky_factor(const matrix<scalar_type>& input) {
assert(input.rows() == input.columns());
size_t n = input.rows();
matrix<scalar_type> result(n, n);
for (size_t i = 0; i < n; ++i) {
for (size_t k = 0; k < i; ++k) {
scalar_type value = input(i, k);
for (size_t j = 0; j < k; ++j)
value -= result(i, j) * result(k, j);
result(i, k) = value/result(k, k);
}
scalar_type value = input(i, i);
for (size_t j = 0; j < i; ++j)
value -= result(i, j) * result(i, j);
result(i, i) = std::sqrt(value);
}
return result;
}
void print_cholesky_factor(const matrix<double>& matrix) {
std::cout << "Matrix:\n";
print(std::cout, matrix);
std::cout << "Cholesky factor:\n";
print(std::cout, cholesky_factor(matrix));
}
int main() {
matrix<double> matrix1(3, 3,
{{25, 15, -5},
{15, 18, 0},
{-5, 0, 11}});
print_cholesky_factor(matrix1);
matrix<double> matrix2(4, 4,
{{18, 22, 54, 42},
{22, 70, 86, 62},
{54, 86, 174, 134},
{42, 62, 134, 106}});
print_cholesky_factor(matrix2);
return 0;
}