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symmetric_matrix.cc
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symmetric_matrix.cc
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// ------------------------------------------------------------------------ //
// Copyright 2021 SPTK Working Group //
// //
// Licensed under the Apache License, Version 2.0 (the "License"); //
// you may not use this file except in compliance with the License. //
// You may obtain a copy of the License at //
// //
// http://www.apache.org/licenses/LICENSE-2.0 //
// //
// Unless required by applicable law or agreed to in writing, software //
// distributed under the License is distributed on an "AS IS" BASIS, //
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. //
// See the License for the specific language governing permissions and //
// limitations under the License. //
// ------------------------------------------------------------------------ //
#include "SPTK/math/symmetric_matrix.h"
#include <algorithm> // std::fill, std::swap
#include <cmath> // std::fabs
#include <cstddef> // std::size_t
#include <stdexcept> // std::out_of_range
#include "SPTK/math/matrix.h"
namespace {
const char* kErrorMessageForOutOfRange("SymmetricMatrix: Out of range");
const double kMinimumValueOfDiagonalElement(1e-12);
} // namespace
namespace sptk {
double& SymmetricMatrix::Row::operator[](int column) {
int row(row_);
if (row < column) {
std::swap(row, column);
}
return matrix_.index_[row][column];
}
const double& SymmetricMatrix::Row::operator[](int column) const {
int row(row_);
if (row < column) {
std::swap(row, column);
}
return matrix_.index_[row][column];
}
SymmetricMatrix::SymmetricMatrix(int num_dimension)
: num_dimension_(num_dimension < 0 ? 0 : num_dimension) {
data_.resize(num_dimension_ * (num_dimension_ + 1) / 2);
index_.resize(num_dimension_);
for (int i(0), j(0); i < num_dimension_; ++i, j += i) {
index_[i] = &data_[j];
}
}
SymmetricMatrix::SymmetricMatrix(const SymmetricMatrix& matrix)
: num_dimension_(matrix.num_dimension_) {
data_ = matrix.data_;
index_.resize(num_dimension_);
for (int i(0), j(0); i < num_dimension_; ++i, j += i) {
index_[i] = &data_[j];
}
}
SymmetricMatrix& SymmetricMatrix::operator=(const SymmetricMatrix& matrix) {
if (this != &matrix) {
num_dimension_ = matrix.num_dimension_;
data_ = matrix.data_;
index_.resize(num_dimension_);
for (int i(0), j(0); i < num_dimension_; ++i, j += i) {
index_[i] = &data_[j];
}
}
return *this;
}
void SymmetricMatrix::Resize(int num_dimension) {
num_dimension_ = num_dimension < 0 ? 0 : num_dimension;
data_.resize(num_dimension_ * (num_dimension_ + 1) / 2);
index_.resize(num_dimension_);
for (int i(0), j(0); i < num_dimension_; ++i, j += i) {
index_[i] = &data_[j];
}
}
double& SymmetricMatrix::At(int row, int column) {
if (row < column) {
std::swap(row, column);
}
if (column < 0 || num_dimension_ <= row) {
throw std::out_of_range(kErrorMessageForOutOfRange);
}
return index_[row][column];
}
const double& SymmetricMatrix::At(int row, int column) const {
if (row < column) {
std::swap(row, column);
}
if (column < 0 || num_dimension_ <= row) {
throw std::out_of_range(kErrorMessageForOutOfRange);
}
return index_[row][column];
}
void SymmetricMatrix::Fill(double value) {
std::fill(data_.begin(), data_.end(), value);
}
bool SymmetricMatrix::GetDiagonal(
std::vector<double>* diagonal_elements) const {
if (NULL == diagonal_elements) {
return false;
}
if (diagonal_elements->size() != static_cast<std::size_t>(num_dimension_)) {
diagonal_elements->resize(num_dimension_);
}
for (int i(0); i < num_dimension_; ++i) {
(*diagonal_elements)[i] = index_[i][i];
}
return true;
}
bool SymmetricMatrix::SetDiagonal(
const std::vector<double>& diagonal_elements) const {
if (diagonal_elements.size() != static_cast<std::size_t>(num_dimension_)) {
return false;
}
for (int i(0); i < num_dimension_; ++i) {
index_[i][i] = diagonal_elements[i];
}
return true;
}
bool SymmetricMatrix::CholeskyDecomposition(
SymmetricMatrix* lower_triangular_matrix,
std::vector<double>* diagonal_elements) const {
if (NULL == lower_triangular_matrix || NULL == diagonal_elements ||
this == lower_triangular_matrix || 0.0 == index_[0][0]) {
return false;
}
if (lower_triangular_matrix->num_dimension_ != num_dimension_) {
lower_triangular_matrix->Resize(num_dimension_);
}
if (diagonal_elements->size() != static_cast<std::size_t>(num_dimension_)) {
diagonal_elements->resize(num_dimension_);
}
double* d(&((*diagonal_elements)[0]));
d[0] = index_[0][0];
lower_triangular_matrix->index_[0][0] = 1.0;
for (int i(1); i < num_dimension_; ++i) {
for (int j(0); j < i; ++j) {
double tmp(index_[i][j]);
for (int k(0); k < j; ++k) {
tmp -= lower_triangular_matrix->index_[i][k] *
lower_triangular_matrix->index_[j][k] * d[k];
}
lower_triangular_matrix->index_[i][j] = tmp / d[j];
}
d[i] = index_[i][i];
for (int j(0); j < i; ++j) {
d[i] -= lower_triangular_matrix->index_[i][j] *
lower_triangular_matrix->index_[i][j] * d[j];
}
if (std::fabs(d[i]) <= kMinimumValueOfDiagonalElement) {
return false;
}
lower_triangular_matrix->index_[i][i] = 1.0;
}
return true;
}
bool SymmetricMatrix::Invert(SymmetricMatrix* inverse_matrix) const {
if (NULL == inverse_matrix || this == inverse_matrix) {
return false;
}
if (inverse_matrix->num_dimension_ != num_dimension_) {
inverse_matrix->Resize(num_dimension_);
}
SymmetricMatrix lower_triangular_matrix(num_dimension_);
std::vector<double> diagonal_elements(num_dimension_);
if (!CholeskyDecomposition(&lower_triangular_matrix, &diagonal_elements)) {
return false;
}
for (int i(num_dimension_ - 1); 0 <= i; --i) {
inverse_matrix->index_[i][i] = 1.0;
for (int j(i + 1); j < num_dimension_; ++j) {
inverse_matrix->index_[j][i] =
lower_triangular_matrix.index_[j][i] * inverse_matrix->index_[i][i];
for (int k(i + 1); k < j; ++k) {
inverse_matrix->index_[j][i] +=
lower_triangular_matrix.index_[j][k] * inverse_matrix->index_[k][i];
}
inverse_matrix->index_[j][i] *= -inverse_matrix->index_[j][j];
}
}
std::vector<double> inverse_diagonal_elements(num_dimension_);
for (int i(0); i < num_dimension_; ++i) {
inverse_diagonal_elements[i] = 1.0 / diagonal_elements[i];
}
for (int i(0); i < num_dimension_; ++i) {
for (int j(0); j <= i; ++j) {
double sum(0.0);
for (int k(i); k < num_dimension_; ++k) {
sum += inverse_matrix->index_[k][i] * inverse_diagonal_elements[k] *
inverse_matrix->index_[k][j];
}
inverse_matrix->index_[i][j] = sum;
}
}
return true;
}
} // namespace sptk