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newmatap.h

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// Copyright (C) 1991,2,3,4,8: R B Davies

#ifndef NEWMATAP_LIB
#define NEWMATAP_LIB 0

#include "newmat.h"

#ifdef use_namespace
namespace NEWMAT {
#endif


// ************************** applications *****************************/


void QRZT(Matrix&, LowerTriangularMatrix&);

void QRZT(const Matrix&, Matrix&, Matrix&);

void QRZ(Matrix&, UpperTriangularMatrix&);

void QRZ(const Matrix&, Matrix&, Matrix&);

inline void HHDecompose(Matrix& X, LowerTriangularMatrix& L)
{ QRZT(X,L); }

inline void HHDecompose(const Matrix& X, Matrix& Y, Matrix& M)
{ QRZT(X, Y, M); }

void updateQRZT(Matrix& X, LowerTriangularMatrix& L);

void updateQRZ(Matrix& X, UpperTriangularMatrix& U);

inline void UpdateQRZT(Matrix& X, LowerTriangularMatrix& L)
   { updateQRZT(X, L); }

inline void UpdateQRZ(Matrix& X, UpperTriangularMatrix& U)
   { updateQRZ(X, U); }

// Matrix A's first n columns are orthonormal
// so A.Columns(1,n).t() * A.Columns(1,n) is the identity matrix.
// Fill out the remaining columns of A to make them orthonormal
// so A.t() * A is the identity matrix 
void extend_orthonormal(Matrix& A, int n);


ReturnMatrix Cholesky(const SymmetricMatrix&);

ReturnMatrix Cholesky(const SymmetricBandMatrix&);


// produces the Cholesky decomposition of A + x.t() * x where A = chol.t() * chol
// and x is a RowVector
void update_Cholesky(UpperTriangularMatrix& chol, RowVector x);
inline void UpdateCholesky(UpperTriangularMatrix& chol, const RowVector& x)
   { update_Cholesky(chol, x); }

// produces the Cholesky decomposition of A - x.t() * x where A = chol.t() * chol
// and x is a RowVector
void downdate_Cholesky(UpperTriangularMatrix &chol, RowVector x);
inline void DowndateCholesky(UpperTriangularMatrix &chol, const RowVector& x)
   { downdate_Cholesky(chol, x); }

// a RIGHT circular shift of the rows and columns from
// 1,...,k-1,k,k+1,...l,l+1,...,p to
// 1,...,k-1,l,k,k+1,...l-1,l+1,...p
void right_circular_update_Cholesky(UpperTriangularMatrix &chol, int k, int l);
inline void RightCircularUpdateCholesky(UpperTriangularMatrix &chol,
  int k, int l) { right_circular_update_Cholesky(chol, k, l); }

// a LEFT circular shift of the rows and columns from
// 1,...,k-1,k,k+1,...l,l+1,...,p to
// 1,...,k-1,k+1,...l,k,l+1,...,p to
void left_circular_update_Cholesky(UpperTriangularMatrix &chol, int k, int l); 
inline void LeftCircularUpdateCholesky(UpperTriangularMatrix &chol,
   int k, int l) { left_circular_update_Cholesky(chol, k, l); } 


void SVD(const Matrix&, DiagonalMatrix&, Matrix&, Matrix&,
    bool=true, bool=true);

void SVD(const Matrix&, DiagonalMatrix&);

inline void SVD(const Matrix& A, DiagonalMatrix& D, Matrix& U,
   bool withU = true) { SVD(A, D, U, U, withU, false); }

void SortSV(DiagonalMatrix& D, Matrix& U, bool ascending = false);

void SortSV(DiagonalMatrix& D, Matrix& U, Matrix& V, bool ascending = false);

void Jacobi(const SymmetricMatrix&, DiagonalMatrix&);

void Jacobi(const SymmetricMatrix&, DiagonalMatrix&, SymmetricMatrix&);

void Jacobi(const SymmetricMatrix&, DiagonalMatrix&, Matrix&);

void Jacobi(const SymmetricMatrix&, DiagonalMatrix&, SymmetricMatrix&,
   Matrix&, bool=true);

void eigenvalues(const SymmetricMatrix&, DiagonalMatrix&);

void eigenvalues(const SymmetricMatrix&, DiagonalMatrix&, SymmetricMatrix&);

void eigenvalues(const SymmetricMatrix&, DiagonalMatrix&, Matrix&);

inline void EigenValues(const SymmetricMatrix& A, DiagonalMatrix& D)
   { eigenvalues(A, D); }

inline void EigenValues(const SymmetricMatrix& A, DiagonalMatrix& D,
   SymmetricMatrix& S) { eigenvalues(A, D, S); }

inline void EigenValues(const SymmetricMatrix& A, DiagonalMatrix& D, Matrix& V)
   { eigenvalues(A, D, V); }

class SymmetricEigenAnalysis
// not implemented yet
{
public:
   SymmetricEigenAnalysis(const SymmetricMatrix&);
private:
   DiagonalMatrix diag;
   DiagonalMatrix offdiag;
   SymmetricMatrix backtransform;
   FREE_CHECK(SymmetricEigenAnalysis)
};

void sort_ascending(GeneralMatrix&);

void sort_descending(GeneralMatrix&);

inline void SortAscending(GeneralMatrix& gm) { sort_ascending(gm); }

inline void SortDescending(GeneralMatrix& gm) { sort_descending(gm); }

class FFT_Controller
{
public:
   static bool OnlyOldFFT;
   static bool ar_1d_ft (int PTS, Real* X, Real *Y);
   static bool CanFactor(int PTS);
};

void FFT(const ColumnVector&, const ColumnVector&,
   ColumnVector&, ColumnVector&);

void FFTI(const ColumnVector&, const ColumnVector&,
   ColumnVector&, ColumnVector&);

void RealFFT(const ColumnVector&, ColumnVector&, ColumnVector&);

void RealFFTI(const ColumnVector&, const ColumnVector&, ColumnVector&);

void DCT_II(const ColumnVector&, ColumnVector&);

void DCT_II_inverse(const ColumnVector&, ColumnVector&);

void DST_II(const ColumnVector&, ColumnVector&);

void DST_II_inverse(const ColumnVector&, ColumnVector&);

void DCT(const ColumnVector&, ColumnVector&);

void DCT_inverse(const ColumnVector&, ColumnVector&);

void DST(const ColumnVector&, ColumnVector&);

void DST_inverse(const ColumnVector&, ColumnVector&);

void FFT2(const Matrix& U, const Matrix& V, Matrix& X, Matrix& Y);

void FFT2I(const Matrix& U, const Matrix& V, Matrix& X, Matrix& Y);


// This class is used by the new FFT program

// Suppose an integer is expressed as a sequence of digits with each
// digit having a different radix.
// This class supposes we are counting with this multi-radix number
// but also keeps track of the number with the digits (and radices)
// reversed.
// The integer starts at zero
// operator++() increases it by 1
// Counter gives the number of increments
// Reverse() gives the value with the digits in reverse order
// Swap is true if reverse is less than counter
// Finish is true when we have done a complete cycle and are back at zero

class MultiRadixCounter
{
   const SimpleIntArray& Radix;
                              // radix of each digit
                              // n-1 highest order, 0 lowest order
   SimpleIntArray& Value;     // value of each digit
   const int n;               // number of digits
   int reverse;               // value when order of digits is reversed
   int product;               // product of radices
   int counter;               // counter
   bool finish;               // true when we have gone over whole range
public:
   MultiRadixCounter(int nx, const SimpleIntArray& rx,
      SimpleIntArray& vx);
   void operator++();         // increment the multi-radix counter
   bool Swap() const { return reverse < counter; }
   bool Finish() const { return finish; }
   int Reverse() const { return reverse; }
   int Counter() const { return counter; }
};

// multiplication by Helmert matrix
ReturnMatrix Helmert(int n, bool full=false);
ReturnMatrix Helmert(const ColumnVector& X, bool full=false);
ReturnMatrix Helmert(int n, int j, bool full=false);
ReturnMatrix Helmert_transpose(const ColumnVector& Y, bool full=false);
Real Helmert_transpose(const ColumnVector& Y, int j, bool full=false);
ReturnMatrix Helmert(const Matrix& X, bool full=false);
ReturnMatrix Helmert_transpose(const Matrix& Y, bool full=false);




#ifdef use_namespace
}
#endif



#endif

// body file: cholesky.cpp
// body file: evalue.cpp
// body file: fft.cpp
// body file: hholder.cpp
// body file: jacobi.cpp
// body file: newfft.cpp
// body file: sort.cpp
// body file: svd.cpp
// body file: nm_misc.cpp

---

kni
Author(s): Neuronics AG (see AUTHORS.txt); ROS wrapper by Martin Günther
autogenerated on Tue Mar 5 12:32:59 2013