Index of Seldon Functions and Methods

Add adds two vectors/matrices
AddInteraction (sparse vectors) adds a coefficient to the vector
AddInteractionRow (sparse vectors) adds coefficients to the vector
AddInteraction (sparse matrices) adds/inserts an element in the matrix
AddInteractionColumn (sparse matrices) adds/inserts elements in a matrix column
AddInteractionRow (sparse matrices) adds/inserts an element in a matrix row
ApplyRot applies rotation to 2-D points
ApplyModifRot applies rotation to 2-D points
Assemble assembles a vector
Assemble (sparse vectors) sorts row numbers
AssembleRow / AssembleColumn (sparse matrices) assembles a row
BiCg BIConjugate Gradient
BiCgcr BIConjugate Gradient Conjugate Residual
BiCgStab BIConjugate Gradient STABilized
BiCgStabl BIConjugate Gradient STABilized (L)
Cg Conjugate Gradient
Cgne Conjugate Gradient Normal Equation
Cgs Conjugate Gradient Squared
Clear (dense vectors) removes all elements of the vector
Clear (sparse vectors) removes all elements of the vector
Clear (dense matrices) removes all elements of the matrix
Clear (sparse matrices) removes all elements of the matrix
ClearRow / ClearColumn (sparse matrices) clears a row
CoCg Conjugate Orthogonal Conjugate Gradient
Conjugate conjugates a vector
Copy copies one vector/matrix into another one (conversion if needed)
Copy (dense vectors) copies a vector
Copy (sparse vectors) copies a vector
Copy (dense matrices) copies a matrix
DotProd scalar product between two vectors
DotProdConj scalar product between two vectors, first vector being conjugated
ErrorCode (iteration) returns error code
Fail (iteration) informs that the iterative solver failed
Fill (dense vectors) sets all elements to a given value
Fill (sparse vectors) sets all elements to a given value
Fill (dense matrices) sets all elements to a given value
Fill (sparse matrices) sets all elements to a given value
FillRand (dense vectors) fills randomly the vector
FillRand (sparse vectors) fills randomly the vector
FillRand (dense matrices) fills randomly the matrix
FillRand (sparse matrices) fills randomly the matrix
Finished (iteration) returns true if the stopping criteria are satisfied
First (iteration) returns true for the first iteration
Gcr Generalized Conjugate Residual
GetCol returns a matrix column
GetData (dense vectors) returns a pointer to the array contained in the vector
GetData (sparse vectors) returns a pointer to the values
GetData (dense matrices) returns a pointer to the array containing the values
GetData (sparse matrices) returns a pointer to the array containing the values
GetData (CSR matrices) returns a pointer to the array containing the values
GetDataConst (dense vectors) returns a pointer to the array contained in the vector
GetDataConst (sparse vectors) returns a pointer to the values
GetDataConst (dense matrices) returns a pointer to the array containing the values
GetDataConstVoid (dense vectors) returns a pointer to the array contained in the vector
GetDataConstVoid (sparse vectors) returns a pointer to the values
GetDataConstVoid (dense matrices) returns a pointer to the array containing the values
GetDataSize (dense vectors) returns the number of elements in the vector
GetDataSize (sparse vectors) returns the number of elements in the vector
GetDataSize (dense matrices) returns the number of elements effectively stored
GetDataSize (sparse matrices) returns the number of elements effectively stored
GetDataVoid (dense vectors) returns a pointer to the array contained in the vector
GetDataVoid (sparse vectors) returns a pointer to the values
GetDataVoid (dense matrices) returns a pointer to the array containing the values
GetEigenvalues computes eigenvalues
GetEigenvaluesEigenvectors computes eigenvalues and eigenvectors
GetInd (CSR matrices) returns a pointer to the array containing column numbers
GetIndex (sparse vectors) returns a pointer to the row numbers
GetIndex (sparse matrices) returns a pointer to the array containing column numbers
GetIndSize (CSR matrices) returns size of array Ind
GetInverse computes the matrix inverse
GetIterationNumber (iteration) returns iteration number
GetLength (dense vectors) returns the number of elements in the vector
GetLength (sparse vectors) returns the number of elements in the vector
GetLQ LQ factorization of matrix
GetLU performs a LU (or LDL^t) factorization
GetM (dense vectors) returns the number of elements in the vector
GetM (sparse vectors) returns the number of elements in the vector
GetM (dense matrices) returns the number of rows in the matrix
GetM (sparse matrices) returns the number of rows in the matrix
GetMaxAbsIndex returns index where highest absolute value is reached
GetN (dense matrices) returns the number of columns in the matrix
GetN (sparse matrices) returns the number of columns in the matrix
GetNonZeros (sparse matrices) returns the number of elements effectively stored
GetNormInf (dense vectors) returns highest absolute value
GetNormInf (sparse vectors) returns highest absolute value
GetNormInfIndex (dense vectors) returns the index of the highest absolute value
GetNormInfIndex (sparse vectors) returns the index of the highest absolute value
GetPtr (CSR matrices) returns a pointer to the array containing row numbers
GetPtrSize (CSR matrices) returns size of array Ptr
GetQ_FromQR Forms explicitely Q from QR factorization
GetQR QR factorization of matrix
GetRestart (iteration) returns restart parameter
GetRow returns a matrix row
GetRowSize / GetColumnSize (sparse matrices) returns the number of elements in the row
GetScalingFactors computes row and column scalings to equilibrate a matrix
GetSchurMatrix forms Schur complement
GetSize (dense vectors) returns the number of elements in the vector
GetSize (sparse vectors) returns the number of elements in the vector
GetSize (dense matrices) returns the number of elements in the matrix
GetSVD performs singular value decomposition (SVD)
GetTolerance (iteration) returns stopping criterion
Gmres Generalized Minimum RESidual
Index (sparse vectors) access to row number
Index (sparse matrices) direct access to a column number
Init (iteration) provides right hand side
IsInitGuess_Null (iteration) returns true if the initial guess is zero
Lsqr Least SQuaRes
MaxAbs returns highest absolute value of A
MergeSort sorts a vector with merge sort algorithm
MinRes Minimum RESidual
Mlt multiplication by a scalar or matrix-vector product
MltAdd performs a matrix-vector or matrix-matrix product
MltQ_FromQR multiplies vector by Q
Norm1 returns 1-norm of a vector
Norm1 returns 1-norm of A
Norm2 returns 2-norm of a vector
NormInf returns infinity-norm of A
Nullify (dense vectors) clears the vector without releasing memory
Nullify (sparse vectors) clears the vector without releasing memory
Nullify (dense matrices) clears the matrix without releasing memory
Nullify (sparse matrices) removes elements of the matrix without releasing memory
Nullify (CSR matrices) clears the matrix without releasing memory
ApplyInversePermutation permutes row and column numbers of a matrix
Print (dense vectors) displays the vector
Print (sparse vectors) displays the vector
Print (dense matrices) displays the matrix
Print (sparse matrices) displays the matrix
PrintRow / PrintColumn (sparse matrices) prints a row
PushBack (dense vectors) adds an element to the end of the vector
QCgs Quasi Conjugate Gradient Squared
Qmr Quasi Minimum Residual
QmrSym Quasi Minimum Residual SYMmetric
QuickSort sorts a vector with quick sort algorithm
Rank1Update Adds a contribution X.Y' to a matrix
Rank2Update Adds a contribution X.Y' + Y.X' to a symmetric matrix
Read (dense vectors) reads the vector in binary format
Read (sparse vectors) reads the vector in binary format
Read (dense matrices) reads the matrix in binary format
Read (sparse matrices) reads the vector in binary format
ReadText (dense vectors) reads the vector in text format
ReadText (sparse vectors) reads the vector in text format
ReadText (dense matrices) reads the matrix in text format
ReadText (sparse matrices) reads the vector in text format
Reallocate (dense vectors) changes the size of vector (removes previous elements)
Reallocate (sparse vectors) changes the size of vector (removes previous elements)
Reallocate (dense matrices) changes the size of matrix (does not keep previous elements)
Reallocate (sparse matrices) changes the size of matrix (does not keep previous elements)
ReallocateRow / ReallocateColumn (sparse matrices) changes the size of a row
ReciprocalConditionNumber computes the inverse of matrix condition number
RefineSolutionLU improves solution computed by SolveLU
RemoveDuplicate sorts and removes duplicate elements of a vector
ReplaceIndexRow / ReplaceIndexColumn (sparse matrices) changes column numbers
Resize (dense vectors) changes the size of vector (keeps previous elements)
Resize (sparse vectors) changes the size of vector (keeps previous elements)
Resize (dense matrices) changes the size of matrix (keeps previous elements)
Resize (sparse matrices) changes the size of matrix (keeps previous elements)
ResizeRow / ResizeColumn (sparse matrices) changes the size of a row and keeps previous values
ScaleLeftMatrix multiplies rows of a matrix by coefficients
ScaleMatrix multiplies rows and columns of a matrix by coefficients
SetCol changes a matrix column
SetData (dense vectors) sets the pointer to the array contained in the vector
SetData (sparse vectors) sets the pointer to the array contained in the vector
SetData (dense matrices) sets the pointer to the array containing the values
SetData (sparse matrices) sets the pointer to the arrays containing values and column numbers
SetData (CSR matrices) sets the pointer to the array containing the values
SetIdentity (dense matrices) sets matrix to identity matrix
SetIdentity (sparse matrices) sets matrix to identity matrix
SetInitGuess (iteration) informs if the initial guess is zero or no
SetIterationNumber (iteration) changes iteration number
SetMaxIterationNumber (iteration) changes maximum number of iterations
SetRestart (iteration) changes restart parameter
SetRow changes a matrix row
SetTolerance (iteration) changes stopping criterion
ShowMessages (iteration) displays residual each 100 iterations
ShowFullHistory (iteration) displays residual each iteration
Solve solves a triangular system
Solve (preconditioning) Applies the preconditioner
SolveLQ solves least-square problems by using LQ factorization
SolveLU solve linear system by using LU factorization
SolveQR solves least-square problems by using QR factorization
SOR applies successive over-relaxations to matrix
Sort sorts a vector
Swap exchanges two vectors
SwapRow / SwapColumn (sparse matrices) exchanges two rows
Symmlq SYMMetric Least sQuares
TfQmr Transpose Free Quasi Minimum Residual
Transpose replaces a matrix by its transpose
TransposeConj replaces a matrix by its conjugate transpose
TransSolve (preconditioning) Applies the transpose of the preconditioner
Val (dense matrices) access to a matrix element
Value (sparse vectors) access to value
Value (sparse matrices) direct access to a value
Write (dense vectors) writes the vector in binary format
Write (sparse vectors) writes the vector in binary format
Write (dense matrices) writes the matrix in binary format
Write (sparse matrices) writes the vector in binary format
WriteText (dense vectors) writes the vector in text format
WriteText (sparse vectors) writes the vector in text format
WriteText (dense matrices) writes the matrix in text format
WriteText (sparse matrices) writes the vector in text format
Zero (dense vectors) sets all elements to zero
Zero (sparse vectors) sets all elements to zero
Zero (dense matrices) sets all elements to zero
Zero (sparse matrices) sets all elements to zero