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-rw-r--r--packages/base/src/Numeric/LinearAlgebra.hs14
1 files changed, 7 insertions, 7 deletions
diff --git a/packages/base/src/Numeric/LinearAlgebra.hs b/packages/base/src/Numeric/LinearAlgebra.hs
index 96bf29f..549ebd0 100644
--- a/packages/base/src/Numeric/LinearAlgebra.hs
+++ b/packages/base/src/Numeric/LinearAlgebra.hs
@@ -37,11 +37,11 @@ module Numeric.LinearAlgebra (
37 37
38 -- * Matrix product 38 -- * Matrix product
39 (<.>), 39 (<.>),
40 40
41 -- | This operator can also be written using the unicode symbol ◇ (25c7). 41 -- | The overloaded multiplication operator may need type annotations to remove
42 -- ambiguity. In those cases we can also use the specific functions 'mXm', 'mXv', and 'dot'.
42 -- 43 --
43 44 -- The matrix x matrix product is also implemented in the "Data.Monoid" instance, where
44 -- | The matrix x matrix product is also implemented in the "Data.Monoid" instance, where
45 -- single-element matrices (created from numeric literals or using 'scalar') 45 -- single-element matrices (created from numeric literals or using 'scalar')
46 -- are used for scaling. 46 -- are used for scaling.
47 -- 47 --
@@ -52,6 +52,7 @@ module Numeric.LinearAlgebra (
52 -- , 4.0, 10.0, 0.0 ] 52 -- , 4.0, 10.0, 0.0 ]
53 -- 53 --
54 -- 'mconcat' uses 'optimiseMult' to get the optimal association order. 54 -- 'mconcat' uses 'optimiseMult' to get the optimal association order.
55
55 56
56 -- * Other products 57 -- * Other products
57 outer, kronecker, cross, 58 outer, kronecker, cross,
@@ -125,7 +126,7 @@ module Numeric.LinearAlgebra (
125 RandDist(..), randomVector, rand, randn, gaussianSample, uniformSample, 126 RandDist(..), randomVector, rand, randn, gaussianSample, uniformSample,
126 127
127 -- * Misc 128 -- * Misc
128 meanCov, peps, relativeError, haussholder, optimiseMult, udot, Seed, (◇) 129 meanCov, peps, relativeError, haussholder, optimiseMult, dot, udot, mXm, mXv, smXv, (<>), (◇), Seed, checkT
129) where 130) where
130 131
131import Numeric.LinearAlgebra.Data 132import Numeric.LinearAlgebra.Data
@@ -136,6 +137,5 @@ import Numeric.Container
136import Numeric.LinearAlgebra.Algorithms 137import Numeric.LinearAlgebra.Algorithms
137import Numeric.LinearAlgebra.Util 138import Numeric.LinearAlgebra.Util
138import Numeric.LinearAlgebra.Random 139import Numeric.LinearAlgebra.Random
139 140import Data.Packed.Internal.Sparse(smXv)
140
141 141