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gonum.org/v1/gonum / blas / cblas64

Package cblas64

v0.7.0
Latest Go to latest
Published: Feb 26, 2020 | License: BSD-3-Clause | Module: gonum.org/v1/gonum

Overview

Package cblas64 provides a simple interface to the complex64 BLAS API.

Index

Package Files

func Asum

func Asum(x Vector) float32

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

func Axpy(alpha complex64, 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

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

func Dotc(x, y Vector) complex64

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

func Dotu(x, y Vector) complex64

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

func Dscal(alpha float32, 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

func Gbmv(t blas.Transpose, alpha complex64, a Band, x Vector, beta complex64, 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

func Gemm(tA, tB blas.Transpose, alpha complex64, a, b General, beta complex64, 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

func Gemv(t blas.Transpose, alpha complex64, a General, x Vector, beta complex64, 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

func Gerc(alpha complex64, 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

func Geru(alpha complex64, 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

func Hbmv(alpha complex64, a HermitianBand, x Vector, beta complex64, 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

func Hemm(s blas.Side, alpha complex64, a Hermitian, b General, beta complex64, 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

func Hemv(alpha complex64, a Hermitian, x Vector, beta complex64, 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

func Her(alpha float32, 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

func Her2(alpha complex64, 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

func Her2k(t blas.Transpose, alpha complex64, a, b General, beta float32, 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

func Herk(t blas.Transpose, alpha float32, a General, beta float32, 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

func Hpmv(alpha complex64, a HermitianPacked, x Vector, beta complex64, 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

func Hpr(alpha float32, 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

func Hpr2(alpha complex64, 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

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

func Implementation() blas.Complex64

Implementation returns the current BLAS complex64 implementation.

Implementation allows direct calls to the current the BLAS complex64 implementation giving finer control of parameters.

func Nrm2

func Nrm2(x Vector) float32

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

func Scal(alpha complex64, 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

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

func Symm(s blas.Side, alpha complex64, a Symmetric, b General, beta complex64, 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

func Syr2k(t blas.Transpose, alpha complex64, a, b General, beta complex64, 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

func Syrk(t blas.Transpose, alpha complex64, a General, beta complex64, 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

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

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

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

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

func Trmm(s blas.Side, tA blas.Transpose, alpha complex64, 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

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

func Trsm(s blas.Side, tA blas.Transpose, alpha complex64, 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

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

func Use(b blas.Complex64)

Use sets the BLAS complex64 implementation to be used by subsequent BLAS calls. The default implementation is gonum.org/v1/gonum/blas/gonum.Implementation.

type Band

type Band struct {
	Rows, Cols int
	KL, KU     int
	Stride     int
	Data       []complex64
}

Band represents a band matrix using the band storage scheme.

func (Band) From

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

type BandCols Band

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

func (BandCols) From

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

type General struct {
	Rows, Cols int
	Stride     int
	Data       []complex64
}

General represents a matrix using the conventional storage scheme.

func (General) From

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

type GeneralCols General

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

func (GeneralCols) From

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

type Hermitian Symmetric

Hermitian represents an Hermitian matrix using the conventional storage scheme.

func (Hermitian) From

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

type HermitianBand SymmetricBand

HermitianBand represents an Hermitian matrix using the band storage scheme.

func (HermitianBand) From

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

type HermitianBandCols HermitianBand

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

func (HermitianBandCols) From

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

type HermitianCols Hermitian

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

func (HermitianCols) From

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

type HermitianPacked SymmetricPacked

HermitianPacked represents an Hermitian matrix using the packed storage scheme.

type Symmetric

type Symmetric struct {
	N      int
	Stride int
	Data   []complex64
	Uplo   blas.Uplo
}

Symmetric represents a symmetric matrix using the conventional storage scheme.

type SymmetricBand

type SymmetricBand struct {
	N, K   int
	Stride int
	Data   []complex64
	Uplo   blas.Uplo
}

SymmetricBand represents a symmetric matrix using the band storage scheme.

type SymmetricPacked

type SymmetricPacked struct {
	N    int
	Data []complex64
	Uplo blas.Uplo
}

SymmetricPacked represents a symmetric matrix using the packed storage scheme.

type Triangular

type Triangular struct {
	N      int
	Stride int
	Data   []complex64
	Uplo   blas.Uplo
	Diag   blas.Diag
}

Triangular represents a triangular matrix using the conventional storage scheme.

func (Triangular) From

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

type TriangularBand struct {
	N, K   int
	Stride int
	Data   []complex64
	Uplo   blas.Uplo
	Diag   blas.Diag
}

TriangularBand represents a triangular matrix using the band storage scheme.

func (TriangularBand) From

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

type TriangularBandCols TriangularBand

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

func (TriangularBandCols) From

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

type TriangularCols Triangular

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

func (TriangularCols) From

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

type TriangularPacked struct {
	N    int
	Data []complex64
	Uplo blas.Uplo
	Diag blas.Diag
}

TriangularPacked represents a triangular matrix using the packed storage scheme.

type Vector

type Vector struct {
	N    int
	Inc  int
	Data []complex64
}

Vector represents a vector with an associated element increment.

Documentation was rendered with GOOS=linux and GOARCH=amd64.

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