Changelog of @hackage/hmatrix 0.14.1.0

0.14.1.0

  • In Numeric.LinearAlgebra.Util: convolution: corr, conv, corr2, conv2, separable, corrMin kronecker: vec, vech, dup, vtrans

0.14.0.0

  • integration over infinite intervals

  • msadams and msbdf methods for ode

  • Numeric.LinearAlgebra.Util

  • (<>) extended to multiple right-hand sides

  • orth

0.13.0.0

  • tests moved to new package hmatrix-tests

0.11.2.0

  • geigSH' (symmetric generalized eigensystem)

  • mapVectorWithIndex

0.11.1.0

  • exported Mul

  • mapMatrixWithIndex{,M,M_}

0.11.0.0

  • flag -fvector default = True

  • invlndet (inverse and log of determinant)

  • step, cond

  • find

  • assoc, accum

0.10.0.0

  • Module reorganization

  • Support for Float and Complex Float elements (excluding LAPACK computations)

  • Binary instances for Vector and Matrix

  • optimiseMult

  • mapVectorM, mapVectorWithIndexM, unzipVectorWith, and related functions.

  • diagRect admits diagonal vectors of any length without producing an error, and takes an additional argument for the off-diagonal elements.

  • different signatures in some functions

0.9.3.0

  • flag -fvector to optionally use Data.Vector.Storable.Vector without any conversion.

  • Simpler module structure.

  • toBlocks, toBlocksEvery

  • cholSolve, mbCholSH

  • GSL Nonlinear Least-Squares fitting using Levenberg-Marquardt.

  • GSL special functions moved to separate package hmatrix-special.

  • Added offset of Vector, allowing fast, noncopy subVector (slice). Vector is now identical to Roman Leshchinskiy's Data.Vector.Storable.Vector, so we can convert from/to them in O(1).

  • Removed Data.Packed.Convert, see examples/vector.hs

0.8.3.0

  • odeSolve

  • Matrix arithmetic automatically replicates matrix with single row/column

  • latexFormat, dispcf

0.8.2.0

  • fromRows/fromColumns now automatically expand vectors of dim 1 to match the common dimension. fromBlocks also replicates single row/column matrices. Previously all dimensions had to be exactly the same.

  • display utilities: dispf, disps, vecdisp

  • scalar

  • minimizeV, minimizeVD, using Vector instead of lists.

0.8.1.0

  • runBenchmarks

0.8.0.0

  • singularValues, fullSVD, thinSVD, compactSVD, leftSV, rightSV and complete interface to [d|z]gesdd. Algorithms based on the SVD of large matrices can now be significantly faster.

  • eigenvalues, eigenvaluesSH

  • linearSolveLS, rq

0.7.2.0

  • ranksv

0.7.1.0

  • buildVector/buildMatrix

  • removed NFData instances

0.6.0.0

  • added randomVector, gaussianSample, uniformSample, meanCov

  • added rankSVD, nullspaceSVD

  • rank, nullspacePrec, and economy svd defined in terms of ranksvd.

  • economy svd now admits zero rank matrices and return a "degenerate rank 1" decomposition with zero singular value.

  • added NFData instances for Matrix and Vector.

  • liftVector, liftVector2 replaced by mapVector, zipVector.