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diff --git a/packages/base/src/Numeric/Chain.hs b/packages/base/src/Numeric/Chain.hs
deleted file mode 100644
index 64c09c0..0000000
--- a/packages/base/src/Numeric/Chain.hs
+++ /dev/null
@@ -1,148 +0,0 @@
-{-# LANGUAGE FlexibleContexts #-}
-
------------------------------------------------------------------------------
--- |
--- Module      :  Numeric.Chain
--- Copyright   :  (c) Vivian McPhail 2010
--- License     :  BSD3
---
--- Maintainer  :  Vivian McPhail <haskell.vivian.mcphail <at> gmail.com>
--- Stability   :  provisional
--- Portability :  portable
---
--- optimisation of association order for chains of matrix multiplication
---
------------------------------------------------------------------------------
-
-{-# LANGUAGE FlexibleContexts #-}
-
-module Numeric.Chain (
-                      optimiseMult,
-                     ) where
-
-import Data.Maybe
-
-import Data.Packed.Matrix
-import Data.Packed.Internal.Numeric
-
-import qualified Data.Array.IArray as A
-
------------------------------------------------------------------------------
-{- | 
-     Provide optimal association order for a chain of matrix multiplications 
-     and apply the multiplications.
-
-     The algorithm is the well-known O(n\^3) dynamic programming algorithm
-     that builds a pyramid of optimal associations.
-
-> m1, m2, m3, m4 :: Matrix Double
-> m1 = (10><15) [1..]
-> m2 = (15><20) [1..]
-> m3 = (20><5) [1..]
-> m4 = (5><10) [1..]
-
-> >>> optimiseMult [m1,m2,m3,m4]
-
-will perform @((m1 `multiply` (m2 `multiply` m3)) `multiply` m4)@
-
-The naive left-to-right multiplication would take @4500@ scalar multiplications
-whereas the optimised version performs @2750@ scalar multiplications.  The complexity
-in this case is 32 (= 4^3/2) * (2 comparisons, 3 scalar multiplications, 3 scalar additions,
-5 lookups, 2 updates) + a constant (= three table allocations)
--}
-optimiseMult :: Product t => [Matrix t] -> Matrix t
-optimiseMult = chain
-
------------------------------------------------------------------------------
-
-type Matrices a = A.Array Int (Matrix a)
-type Sizes      = A.Array Int (Int,Int)
-type Cost       = A.Array Int (A.Array Int (Maybe Int))
-type Indexes    = A.Array Int (A.Array Int (Maybe ((Int,Int),(Int,Int))))
-
-update :: A.Array Int (A.Array Int a) -> (Int,Int) -> a -> A.Array Int (A.Array Int a)
-update a (r,c) e = a A.// [(r,(a A.! r) A.// [(c,e)])]
-
-newWorkSpaceCost :: Int -> A.Array Int (A.Array Int (Maybe Int))
-newWorkSpaceCost n = A.array (1,n) $ map (\i -> (i, subArray i)) [1..n]
-   where subArray i = A.listArray (1,i) (repeat Nothing)
-
-newWorkSpaceIndexes :: Int -> A.Array Int (A.Array Int (Maybe ((Int,Int),(Int,Int))))
-newWorkSpaceIndexes n = A.array (1,n) $ map (\i -> (i, subArray i)) [1..n]
-   where subArray i = A.listArray (1,i) (repeat Nothing)
-
-matricesToSizes :: [Matrix a] -> Sizes
-matricesToSizes ms = A.listArray (1,length ms) $ map (\m -> (rows m,cols m)) ms
-
-chain :: Product a => [Matrix a] -> Matrix a
-chain []  = error "chain: zero matrices to multiply"
-chain [m] = m
-chain [ml,mr] = ml `multiply` mr
-chain ms = let ln = length ms
-               ma = A.listArray (1,ln) ms
-               mz = matricesToSizes ms
-               i = chain_cost mz
-           in chain_paren (ln,ln) i ma
-
-chain_cost :: Sizes -> Indexes
-chain_cost mz = let (_,u) = A.bounds mz
-                    cost = newWorkSpaceCost u
-                    ixes = newWorkSpaceIndexes u
-                    (_,_,i) =  foldl chain_cost' (mz,cost,ixes) (order u)
-                in i
-
-chain_cost' :: (Sizes,Cost,Indexes) -> (Int,Int) -> (Sizes,Cost,Indexes)
-chain_cost' sci@(mz,cost,ixes) (r,c) 
-    | c == 1                     = let cost' = update cost (r,c) (Just 0)
-                                       ixes' = update ixes (r,c) (Just ((r,c),(r,c)))
-                                       in (mz,cost',ixes')
-    | otherwise                  = minimum_cost sci (r,c)
-
-minimum_cost :: (Sizes,Cost,Indexes) -> (Int,Int) -> (Sizes,Cost,Indexes)
-minimum_cost sci fu = foldl (smaller_cost fu) sci (fulcrum_order fu)
-
-smaller_cost :: (Int,Int) -> (Sizes,Cost,Indexes) -> ((Int,Int),(Int,Int)) -> (Sizes,Cost,Indexes)
-smaller_cost (r,c) (mz,cost,ixes) ix@((lr,lc),(rr,rc)) =
-    let op_cost =   fromJust ((cost A.! lr) A.! lc)
-               + fromJust ((cost A.! rr) A.! rc)
-               + fst (mz A.! (lr-lc+1))
-                 * snd (mz A.! lc)
-                 * snd (mz A.! rr)
-        cost' = (cost A.! r) A.! c
-    in case cost' of
-               Nothing -> let cost'' = update cost (r,c) (Just op_cost)
-                              ixes'' = update ixes (r,c) (Just ix)
-                          in (mz,cost'',ixes'')
-               Just ct -> if op_cost < ct then
-                          let cost'' = update cost (r,c) (Just op_cost)
-                              ixes'' = update ixes (r,c) (Just ix)
-                          in (mz,cost'',ixes'')
-                          else (mz,cost,ixes)
-                                                                         
-
-fulcrum_order (r,c) = let fs' = zip (repeat r) [1..(c-1)]
-                      in map (partner (r,c)) fs'
-
-partner (r,c) (a,b) = ((r-b, c-b), (a,b))
-
-order 0 = []
-order n = order (n-1) ++ zip (repeat n) [1..n]
-
-chain_paren :: Product a => (Int,Int) -> Indexes -> Matrices a -> Matrix a
-chain_paren (r,c) ixes ma = let ((lr,lc),(rr,rc)) = fromJust $ (ixes A.! r) A.! c
-                            in if lr == rr && lc == rc then (ma A.! lr)
-                               else (chain_paren (lr,lc) ixes ma) `multiply` (chain_paren (rr,rc) ixes ma) 
-
---------------------------------------------------------------------------
-
-{- TESTS
-
--- optimal association is ((m1*(m2*m3))*m4)
-m1, m2, m3, m4 :: Matrix Double
-m1 = (10><15) [1..]
-m2 = (15><20) [1..]
-m3 = (20><5) [1..]
-m4 = (5><10) [1..]
-
--}
-