Numeric.LinearAlgebra.HMatrix

Basic types and data processing

Arithmetic and numeric classes

Products

dot

dot

<·>

matrix-vector

app

(#>)

(!#>)

matrix-matrix

mul

(<>)

other

outer

kronecker

cross

scale

sumElements

prodElements

Linear Systems

(<\>)

linearSolve

linearSolveLS

linearSolveSVD

luSolve

cholSolve

cgSolve

cgSolve'

Inverse and pseudoinverse

inv

pinv

pinvTol

Determinant and rank

rcond

rank

det

invlndet

Norms

class Normed a

norm_Frob

norm_nuclear

Nullspace and range

orth

nullspace

null1

null1sym

SVD

svd

thinSVD

compactSVD

singularValues

leftSV

rightSV

Eigensystems

eig

eigSH

eigSH'

eigenvalues

eigenvaluesSH

eigenvaluesSH'

geigSH'

QR

qr

rq

qrRaw

qrgr

Cholesky

chol

cholSH

mbCholSH

Hessenberg

hess

Schur

schur

LU

lu

luPacked

Matrix functions

expm

sqrtm

matFunc

Correlation and convolution

corr

conv

corrMin

corr2

conv2

Random arrays

type Seed

data RandDist

randomVector

rand

randn

gaussianSample

uniformSample

Misc

meanCov

rowOuters

peps

relativeError

haussholder

optimiseMult

udot

nullspaceSVD

orthSVD

ranksv

type

type

iC

Auxiliary classes

class Element a

class Container c e

class Product e

class Numeric t

class LSDiv c

class Complexable c

class RealElement t

type family RealOf x

type family ComplexOf x

type family SingleOf x

type family DoubleOf x

type family IndexOf c

class Field t

class Transposable m mt

data CGState

class Testable t