Numeric.LinearAlgebra

Basic types and data manipulation

Numeric classes

Autoconformable dimensions

Products

Dot

dot

(<.>)

Matrix-vector

(#>)

(<#)

(!#>)

Matrix-matrix

(<>)

Other

outer

kronecker

cross

sumElements

prodElements

Linear systems

General

(<\>)

linearSolveLS

linearSolveSVD

Determined

linearSolve

luSolve

luPacked

luSolve'

luPacked'

Symmetric indefinite

ldlSolve

ldlPacked

Positive definite

cholSolve

Sparse

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

Singular value decomposition

svd

thinSVD

compactSVD

singularValues

leftSV

rightSV

Eigendecomposition

eig

eigSH

eigenvalues

eigenvaluesSH

geigSH

QR

qr

rq

qrRaw

qrgr

Cholesky

chol

mbChol

LU

lu

luFact

Hessenberg

hess

Schur

schur

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

pairwiseD2

unitary

peps

relativeError

magnit

haussholder

optimiseMult

udot

nullspaceSVD

orthSVD

ranksv

iC

sym

mTm

trustSym

unSym

Auxiliary classes

class Element a

class Container c e

class Product e

class Numeric t

class LSDiv c

data Herm t

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 Linear t c

class Additive c

class Transposable m mt

data LU t

data LDL t

data QR t

data CGState

class Testable t