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Diffstat (limited to 'meowpp/math/Transformation.h')
| -rw-r--r-- | meowpp/math/Transformation.h | 237 |
1 files changed, 0 insertions, 237 deletions
diff --git a/meowpp/math/Transformation.h b/meowpp/math/Transformation.h deleted file mode 100644 index 086cb03..0000000 --- a/meowpp/math/Transformation.h +++ /dev/null @@ -1,237 +0,0 @@ -#ifndef math_Transformation_H__ -#define math_Transformation_H__ - -#include "Matrix.h" -#include "../Self.h" - -#include <list> -#include <cstdlib> - -namespace meow { - -/*! - * @brief A base class for implementing kinds of transformations. - * - * We define that the input and output form of our transformations all be - * \b matrix . Some advance methods such as calculating jacobian matrix - * will require that the input form must be a vector. - * @author cat_leopard - */ -template<class Scalar> -class Transformation { -private: - struct Myself { - size_t inputRows_; - size_t inputCols_; - size_t outputRows_; - size_t outputCols_; - size_t psize_; - - Myself(Myself const& b): - inputRows_(b.inputRows_), inputCols_(b.inputCols_), - outputRows_(b.outputRows_), outputCols_(b.outputCols_), - psize_(b.psize_) { - } - - Myself(size_t ir, size_t ic, size_t or_, size_t oc, size_t ps): - inputRows_(ir), inputCols_(ic), outputRows_(or_), outputCols_(oc), - psize_(ps) { - } - - ~Myself() { - } - }; - - Self<Myself> const self; -protected: - /*! - * Construct and setup - * @param [in] inputRows number of rows of the input matrix. - * @param [in] inputCols number of columns of the input matrix. - * @param [in] outputRows number of rows of the output matrix. - * @param [in] outputCols number of columns of the output matrix. - * @param [in] psize number of parameters - */ - Transformation(size_t inputRows, size_t inputCols, - size_t outputRows, size_t outputCols, - size_t psize): - self(Myself(inputRows, inputCols, outputRows, outputCols, psize)) { - } - - /*! - * Construct and copy setings from another transformation class. - * @param [in] b Specify where to copy the informations. - */ - Transformation(Transformation const& b): - self(b.self, Self<Myself>::COPY_FROM) { - } - - /*! - * @brief Copy from the specified one - * - * @param [in] b The specified one - * @return \c *this - */ - Transformation& copyFrom(Transformation const& b) { - self().copyFrom(b.self); - return *this; - } - - /*! - * @brief reference from the specified one - * - * @param [in] b The specified one - * @return \c *this - */ - Transformation& referenceFrom(Transformation const& b) { - self().referenceFrom(b.self); - return *this; - } -public: - /*! - * Destructor - */ - virtual ~Transformation() { - } - - /*! - * @brief Return the number of rows of the input matrix. - * - * @return Number of rows. - */ - size_t inputRows() const { - return self->inputRows_; - } - - /*! - * @brief Return the number of columns of the input matrix. - * - * @return Number of columns. - */ - size_t inputCols() const { - return self->inputCols_; - } - - /*! - * @brief Return the number of rows of the output matrix. - * - * @return Number of rows. - */ - size_t outputRows() const { - return self->outputRows_; - } - - /*! - * @brief Return the number of columns of the output matrix. - * - * @return Number of columns. - */ - size_t outputCols() const { - return self->outputCols_; - } - - /*! - * @brief Return the number of parameters. - * - * @return Number of parameters. - */ - size_t parameterSize() const { - return self->psize_; - } - - /*! - * @brief Get the \a i -th parameter. - * - * @param [in] i The index of the specified parameter. - * @note It's a pure virtual method. - */ - virtual Scalar parameter(size_t i) const = 0; - - /*! - * @brief Setup the \a i -th parameter. - * - * @param [in] i The index of the specified parameter. - * @param [in] s The new value to the specified parameter. - * @note It's a pure virtual method. - */ - virtual Scalar parameter(size_t i, Scalar const& s) = 0; - - /*! - * @brief Do transformate. - * - * @param [in] x The input matrix. - * @note It's a pure virtual method. - */ - virtual Matrix<Scalar> transformate(Matrix<Scalar> const& x) const = 0; - - /*! - * @brief Calculate the jacobian matrix (derivate by the input matrix) - * of the transformation. - * - * Consider the case of a non-differentiable - * transformation might be implemented, we return an empty matrix - * now instead of making it be a pure virtual method. - * @param [in] x The input matrix. - * @return An empty matrix. - */ - virtual Matrix<Scalar> jacobian(Matrix<Scalar> const& x) const { - return Matrix<Scalar>(); - } - - /*! - * @brief Calculate the jacobian matrix (derivate by the \a i -th parameter) - * of the transformation. - * - * Consider the case of a non-differentiable transformation might be - * implemented, we return an empty matrix now instead of making it be - * a pure virtual method. - * @param [in] x The input matrix. - * @param [in] i The index of the specified parameter. - * @return An empty matrix. - */ - virtual Matrix<Scalar> jacobian(Matrix<Scalar> const& x, size_t i) const { - return Matrix<Scalar>(); - } - - /*! - * @brief Return whether this transformation is inversable or not - * - * @return \c false - */ - virtual bool inversable() const { return false; } - - /*! - * @brief Do the inverse transformation - * - * @param [in] x The input matirx - * @return An empty matrix - */ - virtual Matrix<Scalar> transformateInv(Matrix<Scalar> const& x) const { - return Matrix<Scalar>(); - } - - /*! - * @brief Return the jacobian matrix of the inverse transformation - * - * @param [in] x The input matirx - * @return An empty matrix - */ - virtual Matrix<Scalar> jacobianInv(Matrix<Scalar> const& x) const { - return Matrix<Scalar>(); - } - - /*! - * @brief Return the jacobian matrix of the inverse transformation - * - * @param [in] x The input matirx - * @param [in] i The index of the specified parameter. - * @return An empty matrix - */ - virtual Matrix<Scalar> jacobianInv(Matrix<Scalar> const& x, size_t i) const { - return Matrix<Scalar>(); - } -}; - -} // meow - -#endif // math_Transformation_H__ |