Changelog for lapack0.5
Change log for the lapack
package
0.5

Matrix.Block
for Block matrices. Add*Extra
constraint families to many type classes in order to handle the data stored in the extra type parameters ofMatrix
. 
Format.format
now uses custom typeConfig
instead of a plain formatString
.
0.4

Unified
Matrix
type that provides the same type parameters across all special types. This reduces the use of type functions and improves type inference. 
Unified
transpose
andadjoint
functions enabled by the newMatrix
type. 
Unpacked
format: We now support data type and according functions for unpacked triangular, symmetric and Hermitian matrices. Enables declaration e.g. of Hessenberg matrices. 
There are now two types of square matrices:

Square
: height and width shapes match exactly 
LiberalSquare
: only the sizes of height and width match


Hermitian
: Definiteness properties in the type 
eigensystem
,Householder.fromMatrix
,LowerUpper.fromMatrix
etc.: We use the new classShape.Permutable
for shapes where permutation of indices seems to make sense. We tried using liberal squares matrix factors, but this would require extra parameters and consistency checks for the shapes of the factor matrices. 
Square.fromGeneral
>fromFull

Orthogonal.affineKernelFromSpan
>affineFiberFromFrame
,Orthogonal.affineSpanFromKernel
>affineFrameFromFiber

Matrix.Function
: New module providing generalized algebraic and transcendent functions likesqrt
,exp
,log
. 
Matrix.Superscript
: Experimental module for eyecandy notationa#^T
for transposition anda#^Inv
for inverse.
0.3.2

Orthogonal
:project
,affineKernelFromSpan
,affineSpanFromKernel
,leastSquaresConstraint
,gaussMarkovLinearModel

Symmetric.fromHermitian
,Hermitian.fromSymmetric

instance Monoid Matrix
, especiallymempty
for matrices with static shapes. 
Extent.Dimensions
: turn from type family to data family 
Start using
doctestextract
for simple tests
0.3.1
Matrix.Symmetric
: You can now import many functions for symmetric matrices from this module. This is more natural than importing them fromTriangular
.
0.3

Matrix data family

Matrix
:ZeroInt
>ShapeInt
,zeroInt
>shapeInt

Hermitian
,BandedHermitian
:covariance
>gramian

Square.eigensystem
: Return left eigenvectors as rows of the last matrix. This is adjoint with respect to the definition inlapack0.2
but it is consistent with the other eigenvalue and singular value decompositions.