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1 | 0.15.2.0 | ||
2 | -------- | ||
3 | |||
4 | - general pinvTol and improved pinv | ||
5 | |||
6 | 0.15.1.0 | ||
7 | -------- | ||
8 | |||
9 | - One-dimensional minimization | ||
10 | |||
11 | - Doubly-adaptive quadrature for difficult integrands | ||
12 | |||
13 | 0.15.0.0 | ||
14 | -------- | ||
15 | |||
16 | - Data.Packed.Foreign (additional FFI helpers) | ||
17 | |||
18 | - NFData instance of Matrix | ||
19 | |||
20 | - Unidimensional root finding | ||
21 | |||
22 | - In Numeric.LinearAlgebra.Util: | ||
23 | pairwise2D, rowOuters, null1, null1sym, size, unitary, mt, (¦), (?), (¿) | ||
24 | |||
25 | - diagBlock | ||
26 | |||
27 | - meanCov moved to Container | ||
28 | |||
29 | 0.14.1.0 | ||
30 | -------- | ||
31 | |||
32 | - In Numeric.LinearAlgebra.Util: | ||
33 | convolution: corr, conv, corr2, conv2, separable, corrMin | ||
34 | kronecker: vec, vech, dup, vtrans | ||
35 | |||
36 | 0.14.0.0 | ||
37 | -------- | ||
38 | |||
39 | - integration over infinite intervals | ||
40 | |||
41 | - msadams and msbdf methods for ode | ||
42 | |||
43 | - Numeric.LinearAlgebra.Util | ||
44 | |||
45 | - (<\>) extended to multiple right-hand sides | ||
46 | |||
47 | - orth | ||
48 | |||
49 | 0.13.0.0 | ||
50 | -------- | ||
51 | |||
52 | - tests moved to new package hmatrix-tests | ||
53 | |||
54 | 0.11.2.0 | ||
55 | -------- | ||
56 | |||
57 | - geigSH' (symmetric generalized eigensystem) | ||
58 | |||
59 | - mapVectorWithIndex | ||
60 | |||
61 | |||
62 | 0.11.1.0 | ||
63 | -------- | ||
64 | |||
65 | - exported Mul | ||
66 | |||
67 | - mapMatrixWithIndex{,M,M_} | ||
68 | |||
69 | 0.11.0.0 | ||
70 | -------- | ||
71 | |||
72 | - flag -fvector default = True | ||
73 | |||
74 | - invlndet (inverse and log of determinant) | ||
75 | |||
76 | - step, cond | ||
77 | |||
78 | - find | ||
79 | |||
80 | - assoc, accum | ||
81 | |||
82 | 0.10.0.0 | ||
83 | -------- | ||
84 | |||
85 | - Module reorganization | ||
86 | |||
87 | - Support for Float and Complex Float elements (excluding LAPACK computations) | ||
88 | |||
89 | - Binary instances for Vector and Matrix | ||
90 | |||
91 | - optimiseMult | ||
92 | |||
93 | - mapVectorM, mapVectorWithIndexM, unzipVectorWith, and related functions. | ||
94 | |||
95 | - diagRect admits diagonal vectors of any length without producing an error, | ||
96 | and takes an additional argument for the off-diagonal elements. | ||
97 | |||
98 | - different signatures in some functions | ||
99 | |||
100 | 0.9.3.0 | ||
101 | -------- | ||
102 | |||
103 | - flag -fvector to optionally use Data.Vector.Storable.Vector | ||
104 | without any conversion. | ||
105 | |||
106 | - Simpler module structure. | ||
107 | |||
108 | - toBlocks, toBlocksEvery | ||
109 | |||
110 | - cholSolve, mbCholSH | ||
111 | |||
112 | - GSL Nonlinear Least-Squares fitting using Levenberg-Marquardt. | ||
113 | |||
114 | - GSL special functions moved to separate package hmatrix-special. | ||
115 | |||
116 | - Added offset of Vector, allowing fast, noncopy subVector (slice). | ||
117 | Vector is now identical to Roman Leshchinskiy's Data.Vector.Storable.Vector, | ||
118 | so we can convert from/to them in O(1). | ||
119 | |||
120 | - Removed Data.Packed.Convert, see examples/vector.hs | ||
121 | |||
122 | 0.8.3.0 | ||
123 | -------- | ||
124 | |||
125 | - odeSolve | ||
126 | |||
127 | - Matrix arithmetic automatically replicates matrix with single row/column | ||
128 | |||
129 | - latexFormat, dispcf | ||
130 | |||
131 | 0.8.2.0 | ||
132 | -------- | ||
133 | |||
134 | - fromRows/fromColumns now automatically expand vectors of dim 1 | ||
135 | to match the common dimension. | ||
136 | fromBlocks also replicates single row/column matrices. | ||
137 | Previously all dimensions had to be exactly the same. | ||
138 | |||
139 | - display utilities: dispf, disps, vecdisp | ||
140 | |||
141 | - scalar | ||
142 | |||
143 | - minimizeV, minimizeVD, using Vector instead of lists. | ||
144 | |||
145 | 0.8.1.0 | ||
146 | -------- | ||
147 | |||
148 | - runBenchmarks | ||
149 | |||
150 | 0.8.0.0 | ||
151 | -------- | ||
152 | |||
153 | - singularValues, fullSVD, thinSVD, compactSVD, leftSV, rightSV | ||
154 | and complete interface to [d|z]gesdd. | ||
155 | Algorithms based on the SVD of large matrices can now be | ||
156 | significantly faster. | ||
157 | |||
158 | - eigenvalues, eigenvaluesSH | ||
159 | |||
160 | - linearSolveLS, rq | ||
161 | |||
162 | 0.7.2.0 | ||
163 | -------- | ||
164 | |||
165 | - ranksv | ||
166 | |||
167 | 0.7.1.0 | ||
168 | -------- | ||
169 | |||
170 | - buildVector/buildMatrix | ||
171 | |||
172 | - removed NFData instances | ||
173 | |||
174 | 0.6.0.0 | ||
175 | -------- | ||
176 | |||
177 | - added randomVector, gaussianSample, uniformSample, meanCov | ||
178 | |||
179 | - added rankSVD, nullspaceSVD | ||
180 | |||
181 | - rank, nullspacePrec, and economy svd defined in terms of ranksvd. | ||
182 | |||
183 | - economy svd now admits zero rank matrices and return a "degenerate | ||
184 | rank 1" decomposition with zero singular value. | ||
185 | |||
186 | - added NFData instances for Matrix and Vector. | ||
187 | |||
188 | - liftVector, liftVector2 replaced by mapVector, zipVector. | ||
189 | |||