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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2015 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
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// 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
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// Author: sameeragarwal@google.com (Sameer Agarwal)
//
// Base classes for access to an linear operator.
#ifndef CERES_INTERNAL_LINEAR_OPERATOR_H_
#define CERES_INTERNAL_LINEAR_OPERATOR_H_
#include "ceres/internal/eigen.h"
#include "ceres/internal/export.h"
#include "ceres/types.h"
namespace ceres::internal {
class ContextImpl;
// This is an abstract base class for linear operators. It supports
// access to size information and left and right multiply operators.
class CERES_NO_EXPORT LinearOperator {
public:
virtual ~LinearOperator();
// y = y + Ax;
virtual void RightMultiplyAndAccumulate(const double* x, double* y) const = 0;
virtual void RightMultiplyAndAccumulate(const double* x,
double* y,
ContextImpl* context,
int num_threads) const;
// y = y + A'x;
virtual void LeftMultiplyAndAccumulate(const double* x, double* y) const = 0;
virtual void LeftMultiplyAndAccumulate(const double* x,
double* y,
ContextImpl* context,
int num_threads) const;
virtual void RightMultiplyAndAccumulate(const Vector& x, Vector& y) const {
RightMultiplyAndAccumulate(x.data(), y.data());
}
virtual void LeftMultiplyAndAccumulate(const Vector& x, Vector& y) const {
LeftMultiplyAndAccumulate(x.data(), y.data());
}
virtual void RightMultiplyAndAccumulate(const Vector& x,
Vector& y,
ContextImpl* context,
int num_threads) const {
RightMultiplyAndAccumulate(x.data(), y.data(), context, num_threads);
}
virtual void LeftMultiplyAndAccumulate(const Vector& x,
Vector& y,
ContextImpl* context,
int num_threads) const {
LeftMultiplyAndAccumulate(x.data(), y.data(), context, num_threads);
}
virtual int num_rows() const = 0;
virtual int num_cols() const = 0;
};
} // namespace ceres::internal
#endif // CERES_INTERNAL_LINEAR_OPERATOR_H_