don't index Eigen

1 files changed, 0 insertions, 366 deletions

diff --git a/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h b/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h
deleted file mode 100644
index 2e5abda..0000000
--- a/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h
+++ /dev/null
@@ -1,366 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2011, 2013 Jitse Niesen <jitse@maths.leeds.ac.uk>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
-#ifndef EIGEN_MATRIX_SQUARE_ROOT
-#define EIGEN_MATRIX_SQUARE_ROOT
-
-namespace Eigen { 
-
-namespace internal {
-
-// pre:  T.block(i,i,2,2) has complex conjugate eigenvalues
-// post: sqrtT.block(i,i,2,2) is square root of T.block(i,i,2,2)
-template <typename MatrixType, typename ResultType>
-void matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType& T, typename MatrixType::Index i, ResultType& sqrtT)
-{
-  // TODO: This case (2-by-2 blocks with complex conjugate eigenvalues) is probably hidden somewhere
-  //       in EigenSolver. If we expose it, we could call it directly from here.
-  typedef typename traits<MatrixType>::Scalar Scalar;
-  Matrix<Scalar,2,2> block = T.template block<2,2>(i,i);
-  EigenSolver<Matrix<Scalar,2,2> > es(block);
-  sqrtT.template block<2,2>(i,i)
-    = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real();
-}
-
-// pre:  block structure of T is such that (i,j) is a 1x1 block,
-//       all blocks of sqrtT to left of and below (i,j) are correct
-// post: sqrtT(i,j) has the correct value
-template <typename MatrixType, typename ResultType>
-void matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(const MatrixType& T, typename MatrixType::Index i, typename MatrixType::Index j, ResultType& sqrtT)
-{
-  typedef typename traits<MatrixType>::Scalar Scalar;
-  Scalar tmp = (sqrtT.row(i).segment(i+1,j-i-1) * sqrtT.col(j).segment(i+1,j-i-1)).value();
-  sqrtT.coeffRef(i,j) = (T.coeff(i,j) - tmp) / (sqrtT.coeff(i,i) + sqrtT.coeff(j,j));
-}
-
-// similar to compute1x1offDiagonalBlock()
-template <typename MatrixType, typename ResultType>
-void matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType& T, typename MatrixType::Index i, typename MatrixType::Index j, ResultType& sqrtT)
-{
-  typedef typename traits<MatrixType>::Scalar Scalar;
-  Matrix<Scalar,1,2> rhs = T.template block<1,2>(i,j);
-  if (j-i > 1)
-    rhs -= sqrtT.block(i, i+1, 1, j-i-1) * sqrtT.block(i+1, j, j-i-1, 2);
-  Matrix<Scalar,2,2> A = sqrtT.coeff(i,i) * Matrix<Scalar,2,2>::Identity();
-  A += sqrtT.template block<2,2>(j,j).transpose();
-  sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose());
-}
-
-// similar to compute1x1offDiagonalBlock()
-template <typename MatrixType, typename ResultType>
-void matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType& T, typename MatrixType::Index i, typename MatrixType::Index j, ResultType& sqrtT)
-{
-  typedef typename traits<MatrixType>::Scalar Scalar;
-  Matrix<Scalar,2,1> rhs = T.template block<2,1>(i,j);
-  if (j-i > 2)
-    rhs -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 1);
-  Matrix<Scalar,2,2> A = sqrtT.coeff(j,j) * Matrix<Scalar,2,2>::Identity();
-  A += sqrtT.template block<2,2>(i,i);
-  sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs);
-}
-
-// solves the equation A X + X B = C where all matrices are 2-by-2
-template <typename MatrixType>
-void matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType& X, const MatrixType& A, const MatrixType& B, const MatrixType& C)
-{
-  typedef typename traits<MatrixType>::Scalar Scalar;
-  Matrix<Scalar,4,4> coeffMatrix = Matrix<Scalar,4,4>::Zero();
-  coeffMatrix.coeffRef(0,0) = A.coeff(0,0) + B.coeff(0,0);
-  coeffMatrix.coeffRef(1,1) = A.coeff(0,0) + B.coeff(1,1);
-  coeffMatrix.coeffRef(2,2) = A.coeff(1,1) + B.coeff(0,0);
-  coeffMatrix.coeffRef(3,3) = A.coeff(1,1) + B.coeff(1,1);
-  coeffMatrix.coeffRef(0,1) = B.coeff(1,0);
-  coeffMatrix.coeffRef(0,2) = A.coeff(0,1);
-  coeffMatrix.coeffRef(1,0) = B.coeff(0,1);
-  coeffMatrix.coeffRef(1,3) = A.coeff(0,1);
-  coeffMatrix.coeffRef(2,0) = A.coeff(1,0);
-  coeffMatrix.coeffRef(2,3) = B.coeff(1,0);
-  coeffMatrix.coeffRef(3,1) = A.coeff(1,0);
-  coeffMatrix.coeffRef(3,2) = B.coeff(0,1);
-
-  Matrix<Scalar,4,1> rhs;
-  rhs.coeffRef(0) = C.coeff(0,0);
-  rhs.coeffRef(1) = C.coeff(0,1);
-  rhs.coeffRef(2) = C.coeff(1,0);
-  rhs.coeffRef(3) = C.coeff(1,1);
-
-  Matrix<Scalar,4,1> result;
-  result = coeffMatrix.fullPivLu().solve(rhs);
-
-  X.coeffRef(0,0) = result.coeff(0);
-  X.coeffRef(0,1) = result.coeff(1);
-  X.coeffRef(1,0) = result.coeff(2);
-  X.coeffRef(1,1) = result.coeff(3);
-}
-
-// similar to compute1x1offDiagonalBlock()
-template <typename MatrixType, typename ResultType>
-void matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType& T, typename MatrixType::Index i, typename MatrixType::Index j, ResultType& sqrtT)
-{
-  typedef typename traits<MatrixType>::Scalar Scalar;
-  Matrix<Scalar,2,2> A = sqrtT.template block<2,2>(i,i);
-  Matrix<Scalar,2,2> B = sqrtT.template block<2,2>(j,j);
-  Matrix<Scalar,2,2> C = T.template block<2,2>(i,j);
-  if (j-i > 2)
-    C -= sqrtT.block(i, i+2, 2, j-i-2) * sqrtT.block(i+2, j, j-i-2, 2);
-  Matrix<Scalar,2,2> X;
-  matrix_sqrt_quasi_triangular_solve_auxiliary_equation(X, A, B, C);
-  sqrtT.template block<2,2>(i,j) = X;
-}
-
-// pre:  T is quasi-upper-triangular and sqrtT is a zero matrix of the same size
-// post: the diagonal blocks of sqrtT are the square roots of the diagonal blocks of T
-template <typename MatrixType, typename ResultType>
-void matrix_sqrt_quasi_triangular_diagonal(const MatrixType& T, ResultType& sqrtT)
-{
-  using std::sqrt;
-  const Index size = T.rows();
-  for (Index i = 0; i < size; i++) {
-    if (i == size - 1 || T.coeff(i+1, i) == 0) {
-      eigen_assert(T(i,i) >= 0);
-      sqrtT.coeffRef(i,i) = sqrt(T.coeff(i,i));
-    }
-    else {
-      matrix_sqrt_quasi_triangular_2x2_diagonal_block(T, i, sqrtT);
-      ++i;
-    }
-  }
-}
-
-// pre:  T is quasi-upper-triangular and diagonal blocks of sqrtT are square root of diagonal blocks of T.
-// post: sqrtT is the square root of T.
-template <typename MatrixType, typename ResultType>
-void matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType& T, ResultType& sqrtT)
-{
-  const Index size = T.rows();
-  for (Index j = 1; j < size; j++) {
-      if (T.coeff(j, j-1) != 0)  // if T(j-1:j, j-1:j) is a 2-by-2 block
-	continue;
-    for (Index i = j-1; i >= 0; i--) {
-      if (i > 0 && T.coeff(i, i-1) != 0)  // if T(i-1:i, i-1:i) is a 2-by-2 block
-	continue;
-      bool iBlockIs2x2 = (i < size - 1) && (T.coeff(i+1, i) != 0);
-      bool jBlockIs2x2 = (j < size - 1) && (T.coeff(j+1, j) != 0);
-      if (iBlockIs2x2 && jBlockIs2x2) 
-        matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(T, i, j, sqrtT);
-      else if (iBlockIs2x2 && !jBlockIs2x2) 
-        matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT);
-      else if (!iBlockIs2x2 && jBlockIs2x2) 
-        matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(T, i, j, sqrtT);
-      else if (!iBlockIs2x2 && !jBlockIs2x2) 
-        matrix_sqrt_quasi_triangular_1x1_off_diagonal_block(T, i, j, sqrtT);
-    }
-  }
-}
-
-} // end of namespace internal
-
-/** \ingroup MatrixFunctions_Module
-  * \brief Compute matrix square root of quasi-triangular matrix.
-  *
-  * \tparam  MatrixType  type of \p arg, the argument of matrix square root,
-  *                      expected to be an instantiation of the Matrix class template.
-  * \tparam  ResultType  type of \p result, where result is to be stored.
-  * \param[in]  arg      argument of matrix square root.
-  * \param[out] result   matrix square root of upper Hessenberg part of \p arg.
-  *
-  * This function computes the square root of the upper quasi-triangular matrix stored in the upper
-  * Hessenberg part of \p arg.  Only the upper Hessenberg part of \p result is updated, the rest is
-  * not touched.  See MatrixBase::sqrt() for details on how this computation is implemented.
-  *
-  * \sa MatrixSquareRoot, MatrixSquareRootQuasiTriangular
-  */
-template <typename MatrixType, typename ResultType> 
-void matrix_sqrt_quasi_triangular(const MatrixType &arg, ResultType &result)
-{
-  eigen_assert(arg.rows() == arg.cols());
-  result.resize(arg.rows(), arg.cols());
-  internal::matrix_sqrt_quasi_triangular_diagonal(arg, result);
-  internal::matrix_sqrt_quasi_triangular_off_diagonal(arg, result);
-}
-
-
-/** \ingroup MatrixFunctions_Module
-  * \brief Compute matrix square root of triangular matrix.
-  *
-  * \tparam  MatrixType  type of \p arg, the argument of matrix square root,
-  *                      expected to be an instantiation of the Matrix class template.
-  * \tparam  ResultType  type of \p result, where result is to be stored.
-  * \param[in]  arg      argument of matrix square root.
-  * \param[out] result   matrix square root of upper triangular part of \p arg.
-  *
-  * Only the upper triangular part (including the diagonal) of \p result is updated, the rest is not
-  * touched.  See MatrixBase::sqrt() for details on how this computation is implemented.
-  *
-  * \sa MatrixSquareRoot, MatrixSquareRootQuasiTriangular
-  */
-template <typename MatrixType, typename ResultType> 
-void matrix_sqrt_triangular(const MatrixType &arg, ResultType &result)
-{
-  using std::sqrt;
-      typedef typename MatrixType::Scalar Scalar;
-
-  eigen_assert(arg.rows() == arg.cols());
-
-  // Compute square root of arg and store it in upper triangular part of result
-  // This uses that the square root of triangular matrices can be computed directly.
-  result.resize(arg.rows(), arg.cols());
-  for (Index i = 0; i < arg.rows(); i++) {
-    result.coeffRef(i,i) = sqrt(arg.coeff(i,i));
-  }
-  for (Index j = 1; j < arg.cols(); j++) {
-    for (Index i = j-1; i >= 0; i--) {
-      // if i = j-1, then segment has length 0 so tmp = 0
-      Scalar tmp = (result.row(i).segment(i+1,j-i-1) * result.col(j).segment(i+1,j-i-1)).value();
-      // denominator may be zero if original matrix is singular
-      result.coeffRef(i,j) = (arg.coeff(i,j) - tmp) / (result.coeff(i,i) + result.coeff(j,j));
-    }
-  }
-}
-
-
-namespace internal {
-
-/** \ingroup MatrixFunctions_Module
-  * \brief Helper struct for computing matrix square roots of general matrices.
-  * \tparam  MatrixType  type of the argument of the matrix square root,
-  *                      expected to be an instantiation of the Matrix class template.
-  *
-  * \sa MatrixSquareRootTriangular, MatrixSquareRootQuasiTriangular, MatrixBase::sqrt()
-  */
-template <typename MatrixType, int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex>
-struct matrix_sqrt_compute
-{
-  /** \brief Compute the matrix square root
-    *
-    * \param[in]  arg     matrix whose square root is to be computed.
-    * \param[out] result  square root of \p arg.
-    *
-    * See MatrixBase::sqrt() for details on how this computation is implemented.
-    */
-  template <typename ResultType> static void run(const MatrixType &arg, ResultType &result);    
-};
-
-
-// ********** Partial specialization for real matrices **********
-
-template <typename MatrixType>
-struct matrix_sqrt_compute<MatrixType, 0>
-{
-  template <typename ResultType>
-  static void run(const MatrixType &arg, ResultType &result)
-  {
-    eigen_assert(arg.rows() == arg.cols());
-
-    // Compute Schur decomposition of arg
-    const RealSchur<MatrixType> schurOfA(arg);  
-    const MatrixType& T = schurOfA.matrixT();
-    const MatrixType& U = schurOfA.matrixU();
-    
-    // Compute square root of T
-    MatrixType sqrtT = MatrixType::Zero(arg.rows(), arg.cols());
-    matrix_sqrt_quasi_triangular(T, sqrtT);
-    
-    // Compute square root of arg
-    result = U * sqrtT * U.adjoint();
-  }
-};
-
-
-// ********** Partial specialization for complex matrices **********
-
-template <typename MatrixType>
-struct matrix_sqrt_compute<MatrixType, 1>
-{
-  template <typename ResultType>
-  static void run(const MatrixType &arg, ResultType &result)
-  {
-    eigen_assert(arg.rows() == arg.cols());
-
-    // Compute Schur decomposition of arg
-    const ComplexSchur<MatrixType> schurOfA(arg);  
-    const MatrixType& T = schurOfA.matrixT();
-    const MatrixType& U = schurOfA.matrixU();
-    
-    // Compute square root of T
-    MatrixType sqrtT;
-    matrix_sqrt_triangular(T, sqrtT);
-    
-    // Compute square root of arg
-    result = U * (sqrtT.template triangularView<Upper>() * U.adjoint());
-  }
-};
-
-} // end namespace internal
-
-/** \ingroup MatrixFunctions_Module
-  *
-  * \brief Proxy for the matrix square root of some matrix (expression).
-  *
-  * \tparam Derived  Type of the argument to the matrix square root.
-  *
-  * This class holds the argument to the matrix square root until it
-  * is assigned or evaluated for some other reason (so the argument
-  * should not be changed in the meantime). It is the return type of
-  * MatrixBase::sqrt() and most of the time this is the only way it is
-  * used.
-  */
-template<typename Derived> class MatrixSquareRootReturnValue
-: public ReturnByValue<MatrixSquareRootReturnValue<Derived> >
-{
-  protected:
-    typedef typename internal::ref_selector<Derived>::type DerivedNested;
-
-  public:
-    /** \brief Constructor.
-      *
-      * \param[in]  src  %Matrix (expression) forming the argument of the
-      * matrix square root.
-      */
-    explicit MatrixSquareRootReturnValue(const Derived& src) : m_src(src) { }
-
-    /** \brief Compute the matrix square root.
-      *
-      * \param[out]  result  the matrix square root of \p src in the
-      * constructor.
-      */
-    template <typename ResultType>
-    inline void evalTo(ResultType& result) const
-    {
-      typedef typename internal::nested_eval<Derived, 10>::type DerivedEvalType;
-      typedef typename internal::remove_all<DerivedEvalType>::type DerivedEvalTypeClean;
-      DerivedEvalType tmp(m_src);
-      internal::matrix_sqrt_compute<DerivedEvalTypeClean>::run(tmp, result);
-    }
-
-    Index rows() const { return m_src.rows(); }
-    Index cols() const { return m_src.cols(); }
-
-  protected:
-    const DerivedNested m_src;
-};
-
-namespace internal {
-template<typename Derived>
-struct traits<MatrixSquareRootReturnValue<Derived> >
-{
-  typedef typename Derived::PlainObject ReturnType;
-};
-}
-
-template <typename Derived>
-const MatrixSquareRootReturnValue<Derived> MatrixBase<Derived>::sqrt() const
-{
-  eigen_assert(rows() == cols());
-  return MatrixSquareRootReturnValue<Derived>(derived());
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_MATRIX_FUNCTION