blas32

package
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 Go to latest Published: Dec 9, 2020 License: BSD-2-Clause Imports: 2 Imported by: 0

Documentation

Overview

Package blas32 provides a simple interface to the float32 BLAS API.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func Asum 

func Asum(n int, x Vector) float32

Asum computes the sum of the absolute values of the elements of x: 

\sum_i |x[i]|.

Asum will panic if the vector increment is negative.

func Axpy 

func Axpy(n int, alpha float32, x, y Vector)

Axpy adds x scaled by alpha to y: 

y[i] += alpha*x[i] for all i.

func Copy 

func Copy(n int, x, y Vector)

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

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

func DDot 

func DDot(n int, x, y Vector) float64

DDot computes the dot product of the two vectors: 

\sum_i x[i]*y[i].

func Dot 

func Dot(n int, x, y Vector) float32

Dot computes the dot product of the two vectors: 

\sum_i x[i]*y[i].

func Gbmv 

func Gbmv(t blas.Transpose, alpha float32, a Band, x Vector, beta float32, y Vector)

Gbmv computes 

y = alpha * A * x + beta * y,   if t == blas.NoTrans,
y = alpha * A^T * x + beta * y, if t == blas.Trans or 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 float32, a, b General, beta float32, 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.

func Gemv 

func Gemv(t blas.Transpose, alpha float32, a General, x Vector, beta float32, y Vector)

Gemv computes 

y = alpha * A * x + beta * y,   if t == blas.NoTrans,
y = alpha * A^T * x + beta * y, if t == blas.Trans or blas.ConjTrans,

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

func Ger 

func Ger(alpha float32, x, y Vector, a General)

Ger performs a rank-1 update 

A += alpha * x * y^T,

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

func Iamax 

func Iamax(n int, x Vector) int

Iamax returns the index of an element of x with the largest absolute value. 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.Float32

Implementation returns the current BLAS float32 implementation.

Implementation allows direct calls to the current the BLAS float32 implementation giving finer control of parameters.

func Nrm2 

func Nrm2(n int, 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 Rot 

func Rot(n int, x, y Vector, c, s float32)

Rot applies a plane transformation to n points represented by the vectors x and y: 

x[i] =  c*x[i] + s*y[i],
y[i] = -s*x[i] + c*y[i], for all i.

func Rotg 

func Rotg(a, b float32) (c, s, r, z float32)

Rotg computes the parameters of a Givens plane rotation so that 

⎡ c s⎤   ⎡a⎤   ⎡r⎤
⎣-s c⎦ * ⎣b⎦ = ⎣0⎦

where a and b are the Cartesian coordinates of a given point. c, s, and r are defined as 

r = ±Sqrt(a^2 + b^2),
c = a/r, the cosine of the rotation angle,
s = a/r, the sine of the rotation angle,

and z is defined such that 

if |a| > |b|,        z = s,
otherwise if c != 0, z = 1/c,
otherwise            z = 1.

func Rotm 

func Rotm(n int, x, y Vector, p blas.SrotmParams)

Rotm applies the modified Givens rotation to n points represented by the vectors x and y.

func Rotmg 

func Rotmg(d1, d2, b1, b2 float32) (p blas.SrotmParams, rd1, rd2, rb1 float32)

Rotmg computes the modified Givens rotation. See http://www.netlib.org/lapack/explore-html/df/deb/drotmg_8f.html for more details.

func SDDot 

func SDDot(n int, alpha float32, x, y Vector) float32

SDDot computes the dot product of the two vectors adding a constant: 

alpha + \sum_i x[i]*y[i].

func Sbmv 

func Sbmv(alpha float32, a SymmetricBand, x Vector, beta float32, y Vector)

Sbmv performs 

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

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

func Scal 

func Scal(n int, alpha float32, x Vector)

Scal scales the vector x by alpha: 

x[i] *= alpha for all i.

Scal will panic if the vector increment is negative.

func Spmv 

func Spmv(alpha float32, a SymmetricPacked, x Vector, beta float32, y Vector)

Spmv performs 

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

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

func Spr 

func Spr(alpha float32, x Vector, a SymmetricPacked)

Spr performs the rank-1 update 

A += alpha * x * x^T,

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

func Spr2 

func Spr2(alpha float32, x, y Vector, a SymmetricPacked)

Spr2 performs a rank-2 update 

A += alpha * x * y^T + alpha * y * x^T,

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

func Swap 

func Swap(n int, x, y Vector)

Swap exchanges the elements of the two vectors: 

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

func Symm 

func Symm(s blas.Side, alpha float32, a Symmetric, b General, beta float32, 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 is a scalar.

func Symv 

func Symv(alpha float32, a Symmetric, x Vector, beta float32, y Vector)

Symv computes 

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

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

func Syr 

func Syr(alpha float32, x Vector, a Symmetric)

Syr performs a rank-1 update 

A += alpha * x * x^T,

where A is an n×n symmetric matrix, x is a vector, and alpha is a scalar.

func Syr2 

func Syr2(alpha float32, x, y Vector, a Symmetric)

Syr2 performs a rank-2 update 

A += alpha * x * y^T + alpha * y * x^T,

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

func Syr2k 

func Syr2k(t blas.Transpose, alpha float32, a, b General, beta float32, c Symmetric)

Syr2k performs a symmetric rank-2k update 

C = alpha * A * B^T + alpha * B * A^T + beta * C, if t == blas.NoTrans,
C = alpha * A^T * B + alpha * B^T * A + beta * C, if t == blas.Trans or blas.ConjTrans,

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

func Syrk 

func Syrk(t blas.Transpose, alpha float32, a General, beta float32, c Symmetric)

Syrk performs a symmetric rank-k update 

C = alpha * A * A^T + beta * C, if t == blas.NoTrans,
C = alpha * A^T * A + beta * C, if t == blas.Trans or blas.ConjTrans,

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 = A^T * x, if t == blas.Trans or 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,
A^T * x = b, if t == blas.Trans or blas.ConjTrans,

where A is an n×n triangular band matrix, and x and b are vectors.

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 = A^T * x, if t == blas.Trans or 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,
A^T * x = b, if t == blas.Trans or blas.ConjTrans,

where A is an n×n triangular matrix in packed format, and x and b are vectors.

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 float32, a Triangular, b General)

Trmm performs 

B = alpha * A * B,   if tA == blas.NoTrans and s == blas.Left,
B = alpha * A^T * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Left,
B = alpha * B * A,   if tA == blas.NoTrans and s == blas.Right,
B = alpha * B * A^T, if tA == blas.Trans or 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 = A^T * x, if t == blas.Trans or 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 float32, a Triangular, b General)

Trsm solves 

A * X = alpha * B,   if tA == blas.NoTrans and s == blas.Left,
A^T * X = alpha * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Left,
X * A = alpha * B,   if tA == blas.NoTrans and s == blas.Right,
X * A^T = alpha * B, if tA == blas.Trans or 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, X contains the values of B, and the result is stored in-place into X.

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,
A^T * x = b, if t == blas.Trans or blas.ConjTrans,

where A is an n×n triangular matrix, and x and b are vectors.

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.Float32)

Use sets the BLAS float32 implementation to be used by subsequent BLAS calls. The default implementation is native.Implementation.

Types

type Band 

type Band struct {
	Rows, Cols int
	KL, KU     int
	Stride     int
	Data       []float32
}

Band represents a band matrix using the band storage scheme.

type General 

type General struct {
	Rows, Cols int
	Stride     int
	Data       []float32
}

General represents a matrix using the conventional storage scheme.

type Symmetric 

type Symmetric struct {
	N      int
	Stride int
	Data   []float32
	Uplo   blas.Uplo
}

Symmetric represents a symmetric matrix using the conventional storage scheme.

type SymmetricBand 

type SymmetricBand struct {
	N, K   int
	Stride int
	Data   []float32
	Uplo   blas.Uplo
}

SymmetricBand represents a symmetric matrix using the band storage scheme.

type SymmetricPacked 

type SymmetricPacked struct {
	N    int
	Data []float32
	Uplo blas.Uplo
}

SymmetricPacked represents a symmetric matrix using the packed storage scheme.

type Triangular 

type Triangular struct {
	N      int
	Stride int
	Data   []float32
	Uplo   blas.Uplo
	Diag   blas.Diag
}

Triangular represents a triangular matrix using the conventional storage scheme.

type TriangularBand 

type TriangularBand struct {
	N, K   int
	Stride int
	Data   []float32
	Uplo   blas.Uplo
	Diag   blas.Diag
}

TriangularBand represents a triangular matrix using the band storage scheme.

type TriangularPacked 

type TriangularPacked struct {
	N    int
	Data []float32
	Uplo blas.Uplo
	Diag blas.Diag
}

TriangularPacked represents a triangular matrix using the packed storage scheme.

type Vector 

type Vector struct {
	Inc  int
	Data []float32
}

Vector represents a vector with an associated element increment.

Source Files

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