BsubT |
Backward Substitution x = Bsub(u, y)
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CholeskyT(T) |
Cholesky decomposition A = LL'
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CholeskyT(ComplexT) |
Cholesky decomposition A = LL'
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ComputeInvJacobiEigT |
Computes Inverse Jacobi Matrix using Eigenvalue Decomposition
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ComputeJacobiEigT(T) |
Computes Jacobi Matrix using Eigenvalue Decomposition
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ComputeJacobiEigT(T, Int32) |
Computes Jacobi Matrix using Eigenvalue Decomposition
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CTransposeT |
Conjugate Transpose 2D-Array (Matrix)
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DetT |
Determinant of a square matrix
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DotT(T, T) |
Matrix Multiplication c = Dot(a, b)
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DotT(T, T) |
Matrix Multiplication c = Dot(a, b)
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Dot_A_invBT |
Matrix Multiplication c = Dot(a, Inv(b))
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Dot_invA_BT |
Matrix Multiplication c = Dot(Inv(a), b)
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FsubT |
Forward Substitution x = Fsub(l, y)
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GeneralLstSqrSolveT(ComplexT, ComplexT, T, LstSqrAlgorithm) |
Solve linear weighted least-squares problem
x = inv(A'inv(V)A)A'inv(V)y
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GeneralLstSqrSolveT(T, T, T, LstSqrAlgorithm) |
Solve linear general least-squares problem
x = inv(A'inv(V)A)A'inv(V)y
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InvT |
Inverse of a square matrix
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IsDetZeroT |
Is determinant of a square matrix equal to zero
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LstSqrSolveT(ComplexT, ComplexT, LstSqrAlgorithm) |
Solve linear least-squares problem
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LstSqrSolveT(T, T, LstSqrAlgorithm) |
Solve linear least-squares problem
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LuT |
LU factorization Implement [l u p] = Lu(a)
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ParallelDot |
Matrix Multiplication c = Dot(a, b)
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ParallelDotMMt |
Matrix Multiplication c = Dot(a, a')
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QrT(ComplexT, ComplexT, ComplexT) |
QR decomposition A = QR
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QrT(T, T, T) |
QR decomposition A = QR
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SolveT |
Solve a linear system of equations
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SvdT(ComplexT, ComplexT, T, ComplexT) |
Singular value decomposition A = UWV'
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SvdT(ComplexT, ComplexT, ComplexT, ComplexT) |
Singular value decomposition A = UWV'
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SvdT(T, T, T, T) |
Singular value decomposition A = UWV'
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SvdT(T, T, T, T) |
Singular value decomposition A = UWV'
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TransposeT |
Transpose 2D-Array (Matrix)
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WeightedLstSqrSolveT(ComplexT, ComplexT, T, LstSqrAlgorithm) |
Solve linear weighted least-squares problem
x = inv(A'(W'+W)A)A'(W'+W)y
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WeightedLstSqrSolveT(T, T, T, LstSqrAlgorithm) |
Solve linear weighted least-squares problem
x = inv(A'(W'+W)A)A'(W'+W)y
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