Changelog for hmatrix- ======== - exported Mul - mapMatrixWithIndex{,M,M_} ======== - flag -fvector default = True - invlndet (inverse and log of determinant) - step, cond - find - assoc, accum ======== - 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 ======= - 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 ======= - odeSolve - Matrix arithmetic automatically replicates matrix with single row/column - latexFormat, dispcf ======= - 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. ======= - runBenchmarks ======= - 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 ======= - ranksv ======= - buildVector/buildMatrix - 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.