`import "gonum.org/v1/gonum/blas/cblas128"`

Package cblas128 provides a simple interface to the complex128 BLAS API.

- func Asum(x Vector) float64
- func Axpy(alpha complex128, x, y Vector)
- func Copy(x, y Vector)
- func Dotc(x, y Vector) complex128
- func Dotu(x, y Vector) complex128
- func Dscal(alpha float64, x Vector)
- func Gbmv(t blas.Transpose, alpha complex128, a Band, x Vector, beta complex128, y Vector)
- func Gemm(tA, tB blas.Transpose, alpha complex128, a, b General, beta complex128, c General)
- func Gemv(t blas.Transpose, alpha complex128, a General, x Vector, beta complex128, y Vector)
- func Gerc(alpha complex128, x, y Vector, a General)
- func Geru(alpha complex128, x, y Vector, a General)
- func Hbmv(alpha complex128, a HermitianBand, x Vector, beta complex128, y Vector)
- func Hemm(s blas.Side, alpha complex128, a Hermitian, b General, beta complex128, c General)
- func Hemv(alpha complex128, a Hermitian, x Vector, beta complex128, y Vector)
- func Her(alpha float64, x Vector, a Hermitian)
- func Her2(alpha complex128, x, y Vector, a Hermitian)
- func Her2k(t blas.Transpose, alpha complex128, a, b General, beta float64, c Hermitian)
- func Herk(t blas.Transpose, alpha float64, a General, beta float64, c Hermitian)
- func Hpmv(alpha complex128, a HermitianPacked, x Vector, beta complex128, y Vector)
- func Hpr(alpha float64, x Vector, a HermitianPacked)
- func Hpr2(alpha complex128, x, y Vector, a HermitianPacked)
- func Iamax(x Vector) int
- func Implementation() blas.Complex128
- func Nrm2(x Vector) float64
- func Scal(alpha complex128, x Vector)
- func Swap(x, y Vector)
- func Symm(s blas.Side, alpha complex128, a Symmetric, b General, beta complex128, c General)
- func Syr2k(t blas.Transpose, alpha complex128, a, b General, beta complex128, c Symmetric)
- func Syrk(t blas.Transpose, alpha complex128, a General, beta complex128, c Symmetric)
- func Tbmv(t blas.Transpose, a TriangularBand, x Vector)
- func Tbsv(t blas.Transpose, a TriangularBand, x Vector)
- func Tpmv(t blas.Transpose, a TriangularPacked, x Vector)
- func Tpsv(t blas.Transpose, a TriangularPacked, x Vector)
- func Trmm(s blas.Side, tA blas.Transpose, alpha complex128, a Triangular, b General)
- func Trmv(t blas.Transpose, a Triangular, x Vector)
- func Trsm(s blas.Side, tA blas.Transpose, alpha complex128, a Triangular, b General)
- func Trsv(t blas.Transpose, a Triangular, x Vector)
- func Use(b blas.Complex128)
- type Band
- type BandCols
- type General
- type GeneralCols
- type Hermitian
- type HermitianBand
- type HermitianBandCols
- type HermitianCols
- type HermitianPacked
- type Symmetric
- type SymmetricBand
- type SymmetricBandCols
- type SymmetricCols
- type SymmetricPacked
- type Triangular
- type TriangularBand
- type TriangularBandCols
- type TriangularCols
- type TriangularPacked
- type Vector

cblas128.go conv.go conv_hermitian.go conv_symmetric.go doc.go

Asum computes the sum of magnitudes of the real and imaginary parts of elements of the vector x:

\sum_i (|Re x[i]| + |Im x[i]|).

Asum will panic if the vector increment is negative.

❖

func Axpy(alpha complex128, x, y Vector)

Axpy computes

y = alpha * x + y,

where x and y are vectors, and alpha is a scalar. Axpy will panic if the lengths of x and y do not match.

Copy copies the elements of x into the elements of y:

y[i] = x[i] for all i.

Copy will panic if the lengths of x and y do not match.

❖

func Dotc(x, y Vector) complex128

Dotc computes the dot product of the two vectors with complex conjugation:

xᴴ * y.

Dotc will panic if the lengths of x and y do not match.

❖

func Dotu(x, y Vector) complex128

Dotu computes the dot product of the two vectors without complex conjugation:

xᵀ * y.

Dotu will panic if the lengths of x and y do not match.

Dscal computes

x = alpha * x,

where x is a vector, and alpha is a real scalar.

Dscal will panic if the vector increment is negative.

❖

func Gbmv(t blas.Transpose, alpha complex128, a Band, x Vector, beta complex128, y Vector)

Gbmv computes

y = alpha * A * x + beta * y if t == blas.NoTrans, y = alpha * Aᵀ * x + beta * y if t == blas.Trans, y = alpha * Aᴴ * x + beta * y if t == blas.ConjTrans,

where A is an m×n band matrix, x and y are vectors, and alpha and beta are scalars.

❖

func Gemm(tA, tB blas.Transpose, alpha complex128, a, b General, beta complex128, c General)

Gemm computes

C = alpha * A * B + beta * C,

where A, B, and C are dense matrices, and alpha and beta are scalars. tA and tB specify whether A or B are transposed or conjugated.

❖

func Gemv(t blas.Transpose, alpha complex128, a General, x Vector, beta complex128, y Vector)

Gemv computes

y = alpha * A * x + beta * y if t == blas.NoTrans, y = alpha * Aᵀ * x + beta * y if t == blas.Trans, y = alpha * Aᴴ * x + beta * y if t == blas.ConjTrans,

where A is an m×n dense matrix, x and y are vectors, and alpha and beta are scalars.

❖

func Gerc(alpha complex128, x, y Vector, a General)

Gerc performs a rank-1 update

A += alpha * x * yᴴ,

where A is an m×n dense matrix, x and y are vectors, and alpha is a scalar.

❖

func Geru(alpha complex128, x, y Vector, a General)

Geru performs a rank-1 update

A += alpha * x * yᵀ,

where A is an m×n dense matrix, x and y are vectors, and alpha is a scalar.

❖

func Hbmv(alpha complex128, a HermitianBand, x Vector, beta complex128, y Vector)

Hbmv performs

y = alpha * A * x + beta * y,

where A is an n×n Hermitian band matrix, x and y are vectors, and alpha and beta are scalars.

❖

func Hemm(s blas.Side, alpha complex128, a Hermitian, b General, beta complex128, c General)

Hemm performs

C = alpha * A * B + beta * C if s == blas.Left, C = alpha * B * A + beta * C if s == blas.Right,

where A is an n×n or m×m Hermitian matrix, B and C are m×n matrices, and alpha and beta are scalars.

❖

func Hemv(alpha complex128, a Hermitian, x Vector, beta complex128, y Vector)

Hemv computes

y = alpha * A * x + beta * y,

where A is an n×n Hermitian matrix, x and y are vectors, and alpha and beta are scalars.

Her performs a rank-1 update

A += alpha * x * yᵀ,

where A is an m×n Hermitian matrix, x and y are vectors, and alpha is a scalar.

❖

func Her2(alpha complex128, x, y Vector, a Hermitian)

Her2 performs a rank-2 update

A += alpha * x * yᴴ + conj(alpha) * y * xᴴ,

where A is an n×n Hermitian matrix, x and y are vectors, and alpha is a scalar.

Her2k performs the Hermitian rank-2k update

C = alpha * A * Bᴴ + conj(alpha) * B * Aᴴ + beta * C if t == blas.NoTrans, C = alpha * Aᴴ * B + conj(alpha) * Bᴴ * A + beta * C if t == blas.ConjTrans,

where C is an n×n Hermitian matrix, A and B are n×k matrices if t == NoTrans and k×n matrices otherwise, and alpha and beta are scalars.

Herk performs the Hermitian rank-k update

C = alpha * A * Aᴴ + beta*C if t == blas.NoTrans, C = alpha * Aᴴ * A + beta*C if t == blas.ConjTrans,

where C is an n×n Hermitian matrix, A is an n×k matrix if t == blas.NoTrans and a k×n matrix otherwise, and alpha and beta are scalars.

❖

func Hpmv(alpha complex128, a HermitianPacked, x Vector, beta complex128, y Vector)

Hpmv performs

y = alpha * A * x + beta * y,

where A is an n×n Hermitian matrix in packed format, x and y are vectors, and alpha and beta are scalars.

❖

func Hpr(alpha float64, x Vector, a HermitianPacked)

Hpr performs a rank-1 update

A += alpha * x * xᴴ,

where A is an n×n Hermitian matrix in packed format, x is a vector, and alpha is a scalar.

❖

func Hpr2(alpha complex128, x, y Vector, a HermitianPacked)

Hpr2 performs a rank-2 update

A += alpha * x * yᴴ + conj(alpha) * y * xᴴ,

where A is an n×n Hermitian matrix in packed format, x and y are vectors, and alpha is a scalar.

Iamax returns the index of an element of x with the largest sum of magnitudes of the real and imaginary parts (|Re x[i]|+|Im x[i]|). If there are multiple such indices, the earliest is returned.

Iamax returns -1 if n == 0.

Iamax will panic if the vector increment is negative.

❖

func Implementation() blas.Complex128

Implementation returns the current BLAS complex128 implementation.

Implementation allows direct calls to the current the BLAS complex128 implementation giving finer control of parameters.

Nrm2 computes the Euclidean norm of the vector x:

sqrt(\sum_i x[i] * x[i]).

Nrm2 will panic if the vector increment is negative.

❖

func Scal(alpha complex128, x Vector)

Scal computes

x = alpha * x,

where x is a vector, and alpha is a scalar.

Scal will panic if the vector increment is negative.

Swap exchanges the elements of two vectors:

x[i], y[i] = y[i], x[i] for all i.

Swap will panic if the lengths of x and y do not match.

❖

func Symm(s blas.Side, alpha complex128, a Symmetric, b General, beta complex128, c General)

Symm performs

C = alpha * A * B + beta * C if s == blas.Left, C = alpha * B * A + beta * C if s == blas.Right,

where A is an n×n or m×m symmetric matrix, B and C are m×n matrices, and alpha and beta are scalars.

❖

func Syr2k(t blas.Transpose, alpha complex128, a, b General, beta complex128, c Symmetric)

Syr2k performs a symmetric rank-2k update

C = alpha * A * Bᵀ + alpha * B * Aᵀ + beta * C if t == blas.NoTrans, C = alpha * Aᵀ * B + alpha * Bᵀ * A + beta * C if t == blas.Trans,

where C is an n×n symmetric matrix, A and B are n×k matrices if t == blas.NoTrans and k×n otherwise, and alpha and beta are scalars.

❖

func Syrk(t blas.Transpose, alpha complex128, a General, beta complex128, c Symmetric)

Syrk performs a symmetric rank-k update

C = alpha * A * Aᵀ + beta * C if t == blas.NoTrans, C = alpha * Aᵀ * A + beta * C if t == blas.Trans,

where C is an n×n symmetric matrix, A is an n×k matrix if t == blas.NoTrans and a k×n matrix otherwise, and alpha and beta are scalars.

❖

func Tbmv(t blas.Transpose, a TriangularBand, x Vector)

Tbmv computes

x = A * x if t == blas.NoTrans, x = Aᵀ * x if t == blas.Trans, x = Aᴴ * x if t == blas.ConjTrans,

where A is an n×n triangular band matrix, and x is a vector.

❖

func Tbsv(t blas.Transpose, a TriangularBand, x Vector)

Tbsv solves

A * x = b if t == blas.NoTrans, Aᵀ * x = b if t == blas.Trans, Aᴴ * x = b if t == blas.ConjTrans,

where A is an n×n triangular band matrix, and x is a vector.

At entry to the function, x contains the values of b, and the result is stored in-place into x.

No test for singularity or near-singularity is included in this routine. Such tests must be performed before calling this routine.

❖

func Tpmv(t blas.Transpose, a TriangularPacked, x Vector)

Tpmv computes

x = A * x if t == blas.NoTrans, x = Aᵀ * x if t == blas.Trans, x = Aᴴ * x if t == blas.ConjTrans,

where A is an n×n triangular matrix in packed format, and x is a vector.

❖

func Tpsv(t blas.Transpose, a TriangularPacked, x Vector)

Tpsv solves

A * x = b if t == blas.NoTrans, Aᵀ * x = b if t == blas.Trans, Aᴴ * x = b if t == blas.ConjTrans,

where A is an n×n triangular matrix in packed format and x is a vector.

At entry to the function, x contains the values of b, and the result is stored in-place into x.

No test for singularity or near-singularity is included in this routine. Such tests must be performed before calling this routine.

❖

func Trmm(s blas.Side, tA blas.Transpose, alpha complex128, a Triangular, b General)

Trmm performs

B = alpha * A * B if tA == blas.NoTrans and s == blas.Left, B = alpha * Aᵀ * B if tA == blas.Trans and s == blas.Left, B = alpha * Aᴴ * B if tA == blas.ConjTrans and s == blas.Left, B = alpha * B * A if tA == blas.NoTrans and s == blas.Right, B = alpha * B * Aᵀ if tA == blas.Trans and s == blas.Right, B = alpha * B * Aᴴ if tA == blas.ConjTrans and s == blas.Right,

where A is an n×n or m×m triangular matrix, B is an m×n matrix, and alpha is a scalar.

❖

func Trmv(t blas.Transpose, a Triangular, x Vector)

Trmv computes

x = A * x if t == blas.NoTrans, x = Aᵀ * x if t == blas.Trans, x = Aᴴ * x if t == blas.ConjTrans,

where A is an n×n triangular matrix, and x is a vector.

❖

func Trsm(s blas.Side, tA blas.Transpose, alpha complex128, a Triangular, b General)

Trsm solves

A * X = alpha * B if tA == blas.NoTrans and s == blas.Left, Aᵀ * X = alpha * B if tA == blas.Trans and s == blas.Left, Aᴴ * X = alpha * B if tA == blas.ConjTrans and s == blas.Left, X * A = alpha * B if tA == blas.NoTrans and s == blas.Right, X * Aᵀ = alpha * B if tA == blas.Trans and s == blas.Right, X * Aᴴ = alpha * B if tA == blas.ConjTrans and s == blas.Right,

where A is an n×n or m×m triangular matrix, X and B are m×n matrices, and alpha is a scalar.

At entry to the function, b contains the values of B, and the result is stored in-place into b.

No check is made that A is invertible.

❖

func Trsv(t blas.Transpose, a Triangular, x Vector)

Trsv solves

A * x = b if t == blas.NoTrans, Aᵀ * x = b if t == blas.Trans, Aᴴ * x = b if t == blas.ConjTrans,

where A is an n×n triangular matrix and x is a vector.

At entry to the function, x contains the values of b, and the result is stored in-place into x.

No test for singularity or near-singularity is included in this routine. Such tests must be performed before calling this routine.

❖

func Use(b blas.Complex128)

Use sets the BLAS complex128 implementation to be used by subsequent BLAS calls. The default implementation is gonum.org/v1/gonum/blas/gonum.Implementation.

❖

type Band struct { Rows, Cols int KL, KU int Stride int Data []complex128 }

Band represents a band matrix using the band storage scheme.

From fills the receiver with elements from a. The receiver must have the same dimensions and bandwidth as a and have adequate backing data storage.

BandCols represents a matrix using the band column-major storage scheme.

From fills the receiver with elements from a. The receiver must have the same dimensions and bandwidth as a and have adequate backing data storage.

❖

type General struct { Rows, Cols int Stride int Data []complex128 }

General represents a matrix using the conventional storage scheme.

❖

func (t General) From(a GeneralCols)

From fills the receiver with elements from a. The receiver must have the same dimensions as a and have adequate backing data storage.

GeneralCols represents a matrix using the conventional column-major storage scheme.

❖

func (t GeneralCols) From(a General)

From fills the receiver with elements from a. The receiver must have the same dimensions as a and have adequate backing data storage.

Hermitian represents an Hermitian matrix using the conventional storage scheme.

❖

func (t Hermitian) From(a HermitianCols)

From fills the receiver with elements from a. The receiver must have the same dimensions and uplo as a and have adequate backing data storage.

❖

type HermitianBand SymmetricBand

HermitianBand represents an Hermitian matrix using the band storage scheme.

❖

func (t HermitianBand) From(a HermitianBandCols)

From fills the receiver with elements from a. The receiver must have the same dimensions, bandwidth and uplo as a and have adequate backing data storage.

❖

type HermitianBandCols HermitianBand

HermitianBandCols represents an Hermitian matrix using the band column-major storage scheme.

❖

func (t HermitianBandCols) From(a HermitianBand)

From fills the receiver with elements from a. The receiver must have the same dimensions, bandwidth and uplo as a and have adequate backing data storage.

HermitianCols represents a matrix using the conventional column-major storage scheme.

❖

func (t HermitianCols) From(a Hermitian)

From fills the receiver with elements from a. The receiver must have the same dimensions and uplo as a and have adequate backing data storage.

❖

type HermitianPacked SymmetricPacked

HermitianPacked represents an Hermitian matrix using the packed storage scheme.

Symmetric represents a symmetric matrix using the conventional storage scheme.

❖

func (t Symmetric) From(a SymmetricCols)

From fills the receiver with elements from a. The receiver must have the same dimensions and uplo as a and have adequate backing data storage.

SymmetricBand represents a symmetric matrix using the band storage scheme.

❖

func (t SymmetricBand) From(a SymmetricBandCols)

From fills the receiver with elements from a. The receiver must have the same dimensions, bandwidth and uplo as a and have adequate backing data storage.

❖

type SymmetricBandCols SymmetricBand

SymmetricBandCols represents a symmetric matrix using the band column-major storage scheme.

❖

func (t SymmetricBandCols) From(a SymmetricBand)

SymmetricCols represents a matrix using the conventional column-major storage scheme.

❖

func (t SymmetricCols) From(a Symmetric)

❖

type SymmetricPacked struct { N int Data []complex128 Uplo blas.Uplo }

SymmetricPacked represents a symmetric matrix using the packed storage scheme.

Triangular represents a triangular matrix using the conventional storage scheme.

❖

func (t Triangular) From(a TriangularCols)

From fills the receiver with elements from a. The receiver must have the same dimensions, uplo and diag as a and have adequate backing data storage.

TriangularBand represents a triangular matrix using the band storage scheme.

❖

func (t TriangularBand) From(a TriangularBandCols)

❖

type TriangularBandCols TriangularBand

TriangularBandCols represents a triangular matrix using the band column-major storage scheme.

❖

func (t TriangularBandCols) From(a TriangularBand)

❖

type TriangularCols Triangular

TriangularCols represents a matrix using the conventional column-major storage scheme.

❖

func (t TriangularCols) From(a Triangular)

From fills the receiver with elements from a. The receiver must have the same dimensions, uplo and diag as a and have adequate backing data storage.

TriangularPacked represents a triangular matrix using the packed storage scheme.

❖

type Vector struct { N int Inc int Data []complex128 }

Vector represents a vector with an associated element increment.

Package cblas128 imports 2 packages (graph) and is imported by 4 packages. Updated 2019-11-12. Refresh now. Tools for package owners.