changes and thanks .md

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+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.
+