[810] | 1 | /// \ingroup newmat
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| 2 | ///@{
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| 3 |
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| 4 | /// \file newmatap.h
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| 5 | /// Definition file for advanced matrix functions.
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| 6 |
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| 7 | // Copyright (C) 1991,2,3,4,8: R B Davies
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| 8 |
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| 9 | #ifndef NEWMATAP_LIB
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| 10 | #define NEWMATAP_LIB 0
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| 11 |
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| 12 | #include "newmat.h"
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| 13 |
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| 14 | #ifdef use_namespace
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| 15 | namespace NEWMAT {
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| 16 | #endif
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| 17 |
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| 18 |
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| 19 | // ************************** applications *****************************/
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| 20 |
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| 21 |
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| 22 | void QRZT(Matrix&, LowerTriangularMatrix&);
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| 23 |
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| 24 | void QRZT(const Matrix&, Matrix&, Matrix&);
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| 25 |
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| 26 | void QRZ(Matrix&, UpperTriangularMatrix&);
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| 27 |
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| 28 | void QRZ(const Matrix&, Matrix&, Matrix&);
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| 29 |
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| 30 | inline void HHDecompose(Matrix& X, LowerTriangularMatrix& L)
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| 31 | { QRZT(X,L); }
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| 32 |
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| 33 | inline void HHDecompose(const Matrix& X, Matrix& Y, Matrix& M)
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| 34 | { QRZT(X, Y, M); }
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| 35 |
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| 36 | void updateQRZT(Matrix& X, LowerTriangularMatrix& L);
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| 37 |
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| 38 | void updateQRZ(Matrix& X, UpperTriangularMatrix& U);
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| 39 |
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| 40 | inline void UpdateQRZT(Matrix& X, LowerTriangularMatrix& L)
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| 41 | { updateQRZT(X, L); }
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| 42 |
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| 43 | inline void UpdateQRZ(Matrix& X, UpperTriangularMatrix& U)
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| 44 | { updateQRZ(X, U); }
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| 45 |
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| 46 | // Matrix A's first n columns are orthonormal
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| 47 | // so A.Columns(1,n).t() * A.Columns(1,n) is the identity matrix.
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| 48 | // Fill out the remaining columns of A to make them orthonormal
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| 49 | // so A.t() * A is the identity matrix
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| 50 | void extend_orthonormal(Matrix& A, int n);
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| 51 |
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| 52 |
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| 53 | ReturnMatrix Cholesky(const SymmetricMatrix&);
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| 54 |
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| 55 | ReturnMatrix Cholesky(const SymmetricBandMatrix&);
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| 56 |
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| 57 |
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| 58 | // produces the Cholesky decomposition of A + x.t() * x where A = chol.t() * chol
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| 59 | // and x is a RowVector
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| 60 | void update_Cholesky(UpperTriangularMatrix& chol, RowVector x);
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| 61 | inline void UpdateCholesky(UpperTriangularMatrix& chol, const RowVector& x)
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| 62 | { update_Cholesky(chol, x); }
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| 63 |
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| 64 | // produces the Cholesky decomposition of A - x.t() * x where A = chol.t() * chol
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| 65 | // and x is a RowVector
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| 66 | void downdate_Cholesky(UpperTriangularMatrix &chol, RowVector x);
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| 67 | inline void DowndateCholesky(UpperTriangularMatrix &chol, const RowVector& x)
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| 68 | { downdate_Cholesky(chol, x); }
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| 69 |
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| 70 | // a RIGHT circular shift of the rows and columns from
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| 71 | // 1,...,k-1,k,k+1,...l,l+1,...,p to
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| 72 | // 1,...,k-1,l,k,k+1,...l-1,l+1,...p
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| 73 | void right_circular_update_Cholesky(UpperTriangularMatrix &chol, int k, int l);
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| 74 | inline void RightCircularUpdateCholesky(UpperTriangularMatrix &chol,
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| 75 | int k, int l) { right_circular_update_Cholesky(chol, k, l); }
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| 76 |
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| 77 | // a LEFT circular shift of the rows and columns from
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| 78 | // 1,...,k-1,k,k+1,...l,l+1,...,p to
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| 79 | // 1,...,k-1,k+1,...l,k,l+1,...,p to
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| 80 | void left_circular_update_Cholesky(UpperTriangularMatrix &chol, int k, int l);
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| 81 | inline void LeftCircularUpdateCholesky(UpperTriangularMatrix &chol,
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| 82 | int k, int l) { left_circular_update_Cholesky(chol, k, l); }
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| 83 |
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| 84 |
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| 85 | void SVD(const Matrix&, DiagonalMatrix&, Matrix&, Matrix&,
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| 86 | bool=true, bool=true);
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| 87 |
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| 88 | void SVD(const Matrix&, DiagonalMatrix&);
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| 89 |
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| 90 | inline void SVD(const Matrix& A, DiagonalMatrix& D, Matrix& U,
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| 91 | bool withU = true) { SVD(A, D, U, U, withU, false); }
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| 92 |
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| 93 | void SortSV(DiagonalMatrix& D, Matrix& U, bool ascending = false);
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| 94 |
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| 95 | void SortSV(DiagonalMatrix& D, Matrix& U, Matrix& V, bool ascending = false);
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| 96 |
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| 97 | void Jacobi(const SymmetricMatrix&, DiagonalMatrix&);
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| 98 |
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| 99 | void Jacobi(const SymmetricMatrix&, DiagonalMatrix&, SymmetricMatrix&);
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| 100 |
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| 101 | void Jacobi(const SymmetricMatrix&, DiagonalMatrix&, Matrix&);
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| 102 |
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| 103 | void Jacobi(const SymmetricMatrix&, DiagonalMatrix&, SymmetricMatrix&,
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| 104 | Matrix&, bool=true);
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| 105 |
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| 106 | void eigenvalues(const SymmetricMatrix&, DiagonalMatrix&);
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| 107 |
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| 108 | void eigenvalues(const SymmetricMatrix&, DiagonalMatrix&, SymmetricMatrix&);
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| 109 |
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| 110 | void eigenvalues(const SymmetricMatrix&, DiagonalMatrix&, Matrix&);
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| 111 |
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| 112 | inline void EigenValues(const SymmetricMatrix& A, DiagonalMatrix& D)
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| 113 | { eigenvalues(A, D); }
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| 114 |
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| 115 | inline void EigenValues(const SymmetricMatrix& A, DiagonalMatrix& D,
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| 116 | SymmetricMatrix& S) { eigenvalues(A, D, S); }
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| 117 |
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| 118 | inline void EigenValues(const SymmetricMatrix& A, DiagonalMatrix& D, Matrix& V)
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| 119 | { eigenvalues(A, D, V); }
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| 120 |
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| 121 | class SymmetricEigenAnalysis
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| 122 | // not implemented yet
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| 123 | {
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| 124 | public:
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| 125 | SymmetricEigenAnalysis(const SymmetricMatrix&);
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| 126 | private:
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| 127 | DiagonalMatrix diag;
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| 128 | DiagonalMatrix offdiag;
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| 129 | SymmetricMatrix backtransform;
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| 130 | FREE_CHECK(SymmetricEigenAnalysis)
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| 131 | };
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| 132 |
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| 133 | void sort_ascending(GeneralMatrix&);
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| 134 |
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| 135 | void sort_descending(GeneralMatrix&);
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| 136 |
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| 137 | inline void SortAscending(GeneralMatrix& gm) { sort_ascending(gm); }
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| 138 |
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| 139 | inline void SortDescending(GeneralMatrix& gm) { sort_descending(gm); }
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| 140 |
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| 141 | /// Decide which fft method to use and carry out new fft function
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| 142 | class FFT_Controller
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| 143 | {
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| 144 | public:
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| 145 | static bool OnlyOldFFT;
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| 146 | static bool ar_1d_ft (int PTS, Real* X, Real *Y);
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| 147 | static bool CanFactor(int PTS);
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| 148 | };
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| 149 |
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| 150 | void FFT(const ColumnVector&, const ColumnVector&,
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| 151 | ColumnVector&, ColumnVector&);
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| 152 |
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| 153 | void FFTI(const ColumnVector&, const ColumnVector&,
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| 154 | ColumnVector&, ColumnVector&);
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| 155 |
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| 156 | void RealFFT(const ColumnVector&, ColumnVector&, ColumnVector&);
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| 157 |
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| 158 | void RealFFTI(const ColumnVector&, const ColumnVector&, ColumnVector&);
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| 159 |
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| 160 | void DCT_II(const ColumnVector&, ColumnVector&);
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| 161 |
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| 162 | void DCT_II_inverse(const ColumnVector&, ColumnVector&);
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| 163 |
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| 164 | void DST_II(const ColumnVector&, ColumnVector&);
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| 165 |
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| 166 | void DST_II_inverse(const ColumnVector&, ColumnVector&);
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| 167 |
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| 168 | void DCT(const ColumnVector&, ColumnVector&);
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| 169 |
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| 170 | void DCT_inverse(const ColumnVector&, ColumnVector&);
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| 171 |
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| 172 | void DST(const ColumnVector&, ColumnVector&);
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| 173 |
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| 174 | void DST_inverse(const ColumnVector&, ColumnVector&);
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| 175 |
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| 176 | void FFT2(const Matrix& U, const Matrix& V, Matrix& X, Matrix& Y);
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| 177 |
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| 178 | void FFT2I(const Matrix& U, const Matrix& V, Matrix& X, Matrix& Y);
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| 179 |
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| 180 |
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| 181 | // This class is used by the new FFT program
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| 182 |
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| 183 | // Suppose an integer is expressed as a sequence of digits with each
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| 184 | // digit having a different radix.
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| 185 | // This class supposes we are counting with this multi-radix number
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| 186 | // but also keeps track of the number with the digits (and radices)
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| 187 | // reversed.
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| 188 | // The integer starts at zero
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| 189 | // operator++() increases it by 1
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| 190 | // Counter gives the number of increments
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| 191 | // Reverse() gives the value with the digits in reverse order
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| 192 | // Swap is true if reverse is less than counter
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| 193 | // Finish is true when we have done a complete cycle and are back at zero
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| 194 |
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| 195 | class MultiRadixCounter
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| 196 | {
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| 197 | const SimpleIntArray& Radix;
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| 198 | // radix of each digit
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| 199 | // n-1 highest order, 0 lowest order
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| 200 | SimpleIntArray& Value; // value of each digit
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| 201 | const int n; // number of digits
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| 202 | int reverse; // value when order of digits is reversed
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| 203 | int product; // product of radices
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| 204 | int counter; // counter
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| 205 | bool finish; // true when we have gone over whole range
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| 206 | public:
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| 207 | MultiRadixCounter(int nx, const SimpleIntArray& rx,
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| 208 | SimpleIntArray& vx);
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| 209 | void operator++(); // increment the multi-radix counter
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| 210 | bool Swap() const { return reverse < counter; }
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| 211 | bool Finish() const { return finish; }
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| 212 | int Reverse() const { return reverse; }
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| 213 | int Counter() const { return counter; }
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| 214 | };
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| 215 |
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| 216 | // multiplication by Helmert matrix
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| 217 | ReturnMatrix Helmert(int n, bool full=false);
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| 218 | ReturnMatrix Helmert(const ColumnVector& X, bool full=false);
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| 219 | ReturnMatrix Helmert(int n, int j, bool full=false);
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| 220 | ReturnMatrix Helmert_transpose(const ColumnVector& Y, bool full=false);
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| 221 | Real Helmert_transpose(const ColumnVector& Y, int j, bool full=false);
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| 222 | ReturnMatrix Helmert(const Matrix& X, bool full=false);
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| 223 | ReturnMatrix Helmert_transpose(const Matrix& Y, bool full=false);
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 228 | #ifdef use_namespace
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| 229 | }
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| 230 | #endif
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| 231 |
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| 232 |
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| 233 |
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| 234 | #endif
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| 235 |
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| 236 | // body file: cholesky.cpp
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| 237 | // body file: evalue.cpp
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| 238 | // body file: fft.cpp
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| 239 | // body file: hholder.cpp
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| 240 | // body file: jacobi.cpp
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| 241 | // body file: newfft.cpp
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| 242 | // body file: sort.cpp
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| 243 | // body file: svd.cpp
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| 244 | // body file: nm_misc.cpp
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| 245 |
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| 246 |
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| 247 |
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| 248 | ///@}
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| 249 |
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| 250 |
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