Backed out changeset: 159f9e7014f8
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@@ -73,7 +73,7 @@ public:
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unsigned int *StartRows;
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bool CreateDiagonal(unsigned int index, unsigned int StartRow);
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unsigned int n, m; //The matrix is n x n, with m diagonals on the lower triangle. Don't change these. They should be private but aren't for convenience.
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inline unsigned int DiagonalLength(unsigned int StartRow) const { //Gives number of elements in a diagonal.
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inline unsigned int DiagonalLength(unsigned int StartRow){ //Gives number of elements in a diagonal.
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return n - StartRow;
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};
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@@ -84,7 +84,7 @@ public:
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void VectorProduct(float *Product, float *x);
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//Given the start row, attempts to find the corresponding index, or -1 if the StartRow doesn't exist.
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int FindIndex(unsigned int StartRow) const;
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int FindIndex(unsigned int StartRow);
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//This is the same as above, but designed to take this class as a pass through variable. By this way you can feed
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//the meat of this class into an independent function, such as SparseConjugateGradient.
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@@ -98,7 +98,7 @@ public:
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Note that VectorProduct is nonsense. More useful to you is CholeskyBackSolve which fills x, where LDLt x = b. */
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bool CreateIncompleteCholeskyFactorization(unsigned int MaxFillAbove = 0);
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void KillIncompleteCholeskyFactorization(void);
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void CholeskyBackSolve(float *x, float *b) const;
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void CholeskyBackSolve(float *x, float *b);
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MultiDiagonalSymmetricMatrix *IncompleteCholeskyFactorization;
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static void PassThroughCholeskyBackSolve(float *Product, float *x, void *Pass){
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