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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2022 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
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// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// * Neither the name of Google Inc. nor the names of its contributors may be
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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//
// Author: keir@google.com (Keir Mierle)
//
// A dense matrix implemented under the SparseMatrix interface.
#ifndef CERES_INTERNAL_DENSE_SPARSE_MATRIX_H_
#define CERES_INTERNAL_DENSE_SPARSE_MATRIX_H_
#include "ceres/internal/disable_warnings.h"
#include "ceres/internal/eigen.h"
#include "ceres/internal/export.h"
#include "ceres/sparse_matrix.h"
#include "ceres/types.h"
namespace ceres::internal {
class TripletSparseMatrix;
class CERES_NO_EXPORT DenseSparseMatrix final : public SparseMatrix {
public:
// Build a matrix with the same content as the TripletSparseMatrix
// m. This assumes that m does not have any repeated entries.
explicit DenseSparseMatrix(const TripletSparseMatrix& m);
explicit DenseSparseMatrix(Matrix m);
DenseSparseMatrix(int num_rows, int num_cols);
// SparseMatrix interface.
void SetZero() final;
void RightMultiplyAndAccumulate(const double* x, double* y) const final;
void LeftMultiplyAndAccumulate(const double* x, double* y) const final;
void SquaredColumnNorm(double* x) const final;
void ScaleColumns(const double* scale) final;
void ToDenseMatrix(Matrix* dense_matrix) const final;
void ToTextFile(FILE* file) const final;
int num_rows() const final;
int num_cols() const final;
int num_nonzeros() const final;
const double* values() const final { return m_.data(); }
double* mutable_values() final { return m_.data(); }
const Matrix& matrix() const;
Matrix* mutable_matrix();
private:
Matrix m_;
};
} // namespace ceres::internal
#include "ceres/internal/reenable_warnings.h"
#endif // CERES_INTERNAL_DENSE_SPARSE_MATRIX_H_