Changelog for hmatrix-0.10.0.2If this renders badly as markdown, see the plain text version
Support for Float and Complex Float elements (excluding LAPACK computations)
Binary instances for Vector and Matrix
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
flag -fvector to optionally use Data.Vector.Storable.Vector without any conversion.
Simpler module structure.
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
Matrix arithmetic automatically replicates matrix with single row/column
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
minimizeV, minimizeVD, using Vector instead of lists.
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.
removed NFData instances
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.