gonum: gonum.org/v1/gonum/blas/cblas128 Index | Files

package cblas128

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

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

Index

Package Files

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

func Asum Uses

❖
func Asum(x Vector) float64

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 Uses

❖
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.

func Copy Uses

❖
func Copy(x, y Vector)

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 Uses

❖
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 Uses

❖
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.

func Dscal Uses

❖
func Dscal(alpha float64, x Vector)

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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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.

func Her Uses

❖
func Her(alpha float64, x Vector, a Hermitian)

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 Uses

❖
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.

func Her2k Uses

❖
func Her2k(t blas.Transpose, alpha complex128, a, b General, beta float64, c Hermitian)

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.

func Herk Uses

❖
func Herk(t blas.Transpose, alpha float64, a General, beta float64, c Hermitian)

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 Uses

❖
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 Uses

❖
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 Uses

❖
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.

func Iamax Uses

❖
func Iamax(x Vector) int

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 Uses

❖
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.

func Nrm2 Uses

❖
func Nrm2(x Vector) float64

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 Uses

❖
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.

func Swap Uses

❖
func Swap(x, y Vector)

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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

❖
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 Uses

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

Band represents a band matrix using the band storage scheme.

func (Band) From Uses

❖
func (t Band) From(a BandCols)

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 BandCols Uses

❖
type BandCols Band

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

func (BandCols) From Uses

❖
func (t BandCols) From(a Band)

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 Uses

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

General represents a matrix using the conventional storage scheme.

func (General) From Uses

❖
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.

type GeneralCols Uses

❖
type GeneralCols General

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

func (GeneralCols) From Uses

❖
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.

type Hermitian Uses

❖
type Hermitian Symmetric

Hermitian represents an Hermitian matrix using the conventional storage scheme.

func (Hermitian) From Uses

❖
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 Uses

❖
type HermitianBand SymmetricBand

HermitianBand represents an Hermitian matrix using the band storage scheme.

func (HermitianBand) From Uses

❖
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 Uses

❖
type HermitianBandCols HermitianBand

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

func (HermitianBandCols) From Uses

❖
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.

type HermitianCols Uses

❖
type HermitianCols Hermitian

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

func (HermitianCols) From Uses

❖
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 Uses

❖
type HermitianPacked SymmetricPacked

HermitianPacked represents an Hermitian matrix using the packed storage scheme.

type Symmetric Uses

❖
type Symmetric struct {
    N      int
    Stride int
    Data   []complex128
    Uplo   blas.Uplo
}

Symmetric represents a symmetric matrix using the conventional storage scheme.

func (Symmetric) From Uses

❖
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.

type SymmetricBand Uses

❖
type SymmetricBand struct {
    N, K   int
    Stride int
    Data   []complex128
    Uplo   blas.Uplo
}

SymmetricBand represents a symmetric matrix using the band storage scheme.

func (SymmetricBand) From Uses

❖
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 Uses

❖
type SymmetricBandCols SymmetricBand

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

func (SymmetricBandCols) From Uses

❖
func (t SymmetricBandCols) From(a SymmetricBand)

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 SymmetricCols Uses

❖
type SymmetricCols Symmetric

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

func (SymmetricCols) From Uses

❖
func (t SymmetricCols) From(a Symmetric)

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 SymmetricPacked Uses

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

SymmetricPacked represents a symmetric matrix using the packed storage scheme.

type Triangular Uses

❖
type Triangular struct {
    N      int
    Stride int
    Data   []complex128
    Uplo   blas.Uplo
    Diag   blas.Diag
}

Triangular represents a triangular matrix using the conventional storage scheme.

func (Triangular) From Uses

❖
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.

type TriangularBand Uses

❖
type TriangularBand struct {
    N, K   int
    Stride int
    Data   []complex128
    Uplo   blas.Uplo
    Diag   blas.Diag
}

TriangularBand represents a triangular matrix using the band storage scheme.

func (TriangularBand) From Uses

❖
func (t TriangularBand) From(a TriangularBandCols)

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 TriangularBandCols Uses

❖
type TriangularBandCols TriangularBand

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

func (TriangularBandCols) From Uses

❖
func (t TriangularBandCols) From(a TriangularBand)

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 TriangularCols Uses

❖
type TriangularCols Triangular

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

func (TriangularCols) From Uses

❖
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.

type TriangularPacked Uses

❖
type TriangularPacked struct {
    N    int
    Data []complex128
    Uplo blas.Uplo
    Diag blas.Diag
}

TriangularPacked represents a triangular matrix using the packed storage scheme.

type Vector Uses

❖
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 2 packages. Updated 2019-11-12. Refresh now. Tools for package owners.