mirror of https://github.com/k3s-io/k3s
214 lines
8.0 KiB
Go
214 lines
8.0 KiB
Go
// Copyright ©2015 The Gonum Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package lapack
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import "gonum.org/v1/gonum/blas"
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// Complex128 defines the public complex128 LAPACK API supported by gonum/lapack.
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type Complex128 interface{}
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// Float64 defines the public float64 LAPACK API supported by gonum/lapack.
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type Float64 interface {
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Dgecon(norm MatrixNorm, n int, a []float64, lda int, anorm float64, work []float64, iwork []int) float64
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Dgeev(jobvl LeftEVJob, jobvr RightEVJob, n int, a []float64, lda int, wr, wi []float64, vl []float64, ldvl int, vr []float64, ldvr int, work []float64, lwork int) (first int)
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Dgels(trans blas.Transpose, m, n, nrhs int, a []float64, lda int, b []float64, ldb int, work []float64, lwork int) bool
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Dgelqf(m, n int, a []float64, lda int, tau, work []float64, lwork int)
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Dgeqrf(m, n int, a []float64, lda int, tau, work []float64, lwork int)
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Dgesvd(jobU, jobVT SVDJob, m, n int, a []float64, lda int, s, u []float64, ldu int, vt []float64, ldvt int, work []float64, lwork int) (ok bool)
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Dgetrf(m, n int, a []float64, lda int, ipiv []int) (ok bool)
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Dgetri(n int, a []float64, lda int, ipiv []int, work []float64, lwork int) (ok bool)
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Dgetrs(trans blas.Transpose, n, nrhs int, a []float64, lda int, ipiv []int, b []float64, ldb int)
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Dggsvd3(jobU, jobV, jobQ GSVDJob, m, n, p int, a []float64, lda int, b []float64, ldb int, alpha, beta, u []float64, ldu int, v []float64, ldv int, q []float64, ldq int, work []float64, lwork int, iwork []int) (k, l int, ok bool)
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Dlantr(norm MatrixNorm, uplo blas.Uplo, diag blas.Diag, m, n int, a []float64, lda int, work []float64) float64
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Dlange(norm MatrixNorm, m, n int, a []float64, lda int, work []float64) float64
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Dlansy(norm MatrixNorm, uplo blas.Uplo, n int, a []float64, lda int, work []float64) float64
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Dlapmt(forward bool, m, n int, x []float64, ldx int, k []int)
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Dormqr(side blas.Side, trans blas.Transpose, m, n, k int, a []float64, lda int, tau, c []float64, ldc int, work []float64, lwork int)
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Dormlq(side blas.Side, trans blas.Transpose, m, n, k int, a []float64, lda int, tau, c []float64, ldc int, work []float64, lwork int)
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Dpocon(uplo blas.Uplo, n int, a []float64, lda int, anorm float64, work []float64, iwork []int) float64
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Dpotrf(ul blas.Uplo, n int, a []float64, lda int) (ok bool)
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Dpotri(ul blas.Uplo, n int, a []float64, lda int) (ok bool)
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Dpotrs(ul blas.Uplo, n, nrhs int, a []float64, lda int, b []float64, ldb int)
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Dsyev(jobz EVJob, uplo blas.Uplo, n int, a []float64, lda int, w, work []float64, lwork int) (ok bool)
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Dtrcon(norm MatrixNorm, uplo blas.Uplo, diag blas.Diag, n int, a []float64, lda int, work []float64, iwork []int) float64
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Dtrtri(uplo blas.Uplo, diag blas.Diag, n int, a []float64, lda int) (ok bool)
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Dtrtrs(uplo blas.Uplo, trans blas.Transpose, diag blas.Diag, n, nrhs int, a []float64, lda int, b []float64, ldb int) (ok bool)
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}
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// Direct specifies the direction of the multiplication for the Householder matrix.
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type Direct byte
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const (
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Forward Direct = 'F' // Reflectors are right-multiplied, H_0 * H_1 * ... * H_{k-1}.
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Backward Direct = 'B' // Reflectors are left-multiplied, H_{k-1} * ... * H_1 * H_0.
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)
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// Sort is the sorting order.
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type Sort byte
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const (
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SortIncreasing Sort = 'I'
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SortDecreasing Sort = 'D'
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)
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// StoreV indicates the storage direction of elementary reflectors.
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type StoreV byte
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const (
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ColumnWise StoreV = 'C' // Reflector stored in a column of the matrix.
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RowWise StoreV = 'R' // Reflector stored in a row of the matrix.
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)
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// MatrixNorm represents the kind of matrix norm to compute.
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type MatrixNorm byte
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const (
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MaxAbs MatrixNorm = 'M' // max(abs(A(i,j)))
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MaxColumnSum MatrixNorm = 'O' // Maximum absolute column sum (one norm)
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MaxRowSum MatrixNorm = 'I' // Maximum absolute row sum (infinity norm)
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Frobenius MatrixNorm = 'F' // Frobenius norm (sqrt of sum of squares)
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)
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// MatrixType represents the kind of matrix represented in the data.
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type MatrixType byte
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const (
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General MatrixType = 'G' // A general dense matrix.
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UpperTri MatrixType = 'U' // An upper triangular matrix.
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LowerTri MatrixType = 'L' // A lower triangular matrix.
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)
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// Pivot specifies the pivot type for plane rotations.
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type Pivot byte
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const (
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Variable Pivot = 'V'
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Top Pivot = 'T'
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Bottom Pivot = 'B'
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)
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// ApplyOrtho specifies which orthogonal matrix is applied in Dormbr.
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type ApplyOrtho byte
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const (
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ApplyP ApplyOrtho = 'P' // Apply P or P^T.
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ApplyQ ApplyOrtho = 'Q' // Apply Q or Q^T.
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)
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// GenOrtho specifies which orthogonal matrix is generated in Dorgbr.
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type GenOrtho byte
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const (
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GeneratePT GenOrtho = 'P' // Generate P^T.
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GenerateQ GenOrtho = 'Q' // Generate Q.
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)
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// SVDJob specifies the singular vector computation type for SVD.
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type SVDJob byte
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const (
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SVDAll SVDJob = 'A' // Compute all columns of the orthogonal matrix U or V.
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SVDStore SVDJob = 'S' // Compute the singular vectors and store them in the orthogonal matrix U or V.
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SVDOverwrite SVDJob = 'O' // Compute the singular vectors and overwrite them on the input matrix A.
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SVDNone SVDJob = 'N' // Do not compute singular vectors.
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)
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// GSVDJob specifies the singular vector computation type for Generalized SVD.
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type GSVDJob byte
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const (
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GSVDU GSVDJob = 'U' // Compute orthogonal matrix U.
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GSVDV GSVDJob = 'V' // Compute orthogonal matrix V.
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GSVDQ GSVDJob = 'Q' // Compute orthogonal matrix Q.
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GSVDUnit GSVDJob = 'I' // Use unit-initialized matrix.
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GSVDNone GSVDJob = 'N' // Do not compute orthogonal matrix.
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)
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// EVComp specifies how eigenvectors are computed in Dsteqr.
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type EVComp byte
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const (
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EVOrig EVComp = 'V' // Compute eigenvectors of the original symmetric matrix.
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EVTridiag EVComp = 'I' // Compute eigenvectors of the tridiagonal matrix.
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EVCompNone EVComp = 'N' // Do not compute eigenvectors.
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)
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// EVJob specifies whether eigenvectors are computed in Dsyev.
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type EVJob byte
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const (
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EVCompute EVJob = 'V' // Compute eigenvectors.
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EVNone EVJob = 'N' // Do not compute eigenvectors.
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)
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// LeftEVJob specifies whether left eigenvectors are computed in Dgeev.
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type LeftEVJob byte
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const (
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LeftEVCompute LeftEVJob = 'V' // Compute left eigenvectors.
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LeftEVNone LeftEVJob = 'N' // Do not compute left eigenvectors.
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)
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// RightEVJob specifies whether right eigenvectors are computed in Dgeev.
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type RightEVJob byte
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const (
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RightEVCompute RightEVJob = 'V' // Compute right eigenvectors.
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RightEVNone RightEVJob = 'N' // Do not compute right eigenvectors.
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)
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// BalanceJob specifies matrix balancing operation.
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type BalanceJob byte
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const (
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Permute BalanceJob = 'P'
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Scale BalanceJob = 'S'
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PermuteScale BalanceJob = 'B'
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BalanceNone BalanceJob = 'N'
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)
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// SchurJob specifies whether the Schur form is computed in Dhseqr.
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type SchurJob byte
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const (
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EigenvaluesOnly SchurJob = 'E'
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EigenvaluesAndSchur SchurJob = 'S'
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)
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// SchurComp specifies whether and how the Schur vectors are computed in Dhseqr.
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type SchurComp byte
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const (
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SchurOrig SchurComp = 'V' // Compute Schur vectors of the original matrix.
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SchurHess SchurComp = 'I' // Compute Schur vectors of the upper Hessenberg matrix.
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SchurNone SchurComp = 'N' // Do not compute Schur vectors.
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)
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// UpdateSchurComp specifies whether the matrix of Schur vectors is updated in Dtrexc.
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type UpdateSchurComp byte
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const (
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UpdateSchur UpdateSchurComp = 'V' // Update the matrix of Schur vectors.
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UpdateSchurNone UpdateSchurComp = 'N' // Do not update the matrix of Schur vectors.
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)
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// EVSide specifies what eigenvectors are computed in Dtrevc3.
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type EVSide byte
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const (
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EVRight EVSide = 'R' // Compute only right eigenvectors.
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EVLeft EVSide = 'L' // Compute only left eigenvectors.
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EVBoth EVSide = 'B' // Compute both right and left eigenvectors.
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)
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// EVHowMany specifies which eigenvectors are computed in Dtrevc3 and how.
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type EVHowMany byte
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const (
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EVAll EVHowMany = 'A' // Compute all right and/or left eigenvectors.
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EVAllMulQ EVHowMany = 'B' // Compute all right and/or left eigenvectors multiplied by an input matrix.
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EVSelected EVHowMany = 'S' // Compute selected right and/or left eigenvectors.
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)
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