X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=src%2FLinear%2FMatrix.hs;h=e4acc9ae34818f732310129279d13cb503f96c0e;hb=f8fe5b7210c35c84193cfcf6c26fd37eac7a1734;hp=a5fbb8403b0832becf04b0d48a68be4f0725345c;hpb=9ef91ad4ec3a5c0966f0850d40310722b6c38b68;p=numerical-analysis.git

diff --git a/src/Linear/Matrix.hs b/src/Linear/Matrix.hs
index a5fbb84..e4acc9a 100644
--- a/src/Linear/Matrix.hs
+++ b/src/Linear/Matrix.hs
@@ -38,7 +38,7 @@ import qualified Data.Vector.Fixed as V (
   fromList,
   head,
   ifoldl,
-  length,
+  imap,
   map,
   maximum,
   replicate,
@@ -145,23 +145,54 @@ instance (Show a) => Show (Mat m n a) where
 toList :: Mat m n a -> [[a]]
 toList (Mat rows) = map V.toList (V.toList rows)
 
+
 -- | Create a matrix from a nested list.
 fromList :: (Arity m, Arity n) => [[a]] -> Mat m n a
 fromList vs = Mat (V.fromList $ map V.fromList vs)
 
 
--- | Unsafe indexing.
+-- | Unsafe indexing. Much faster than the safe indexing.
 (!!!) :: (Arity m, Arity n) => Mat m n a -> (Int, Int) -> a
 (!!!) (Mat rows) (i, j) = (rows ! i) ! j
 
 
 -- | Safe indexing.
+--
+--   Examples:
+--
+--   >>> let m = fromList [[1,2],[3,4]] :: Mat2 Int
+--   >>> m !!? (-1,-1)
+--   Nothing
+--   >>>  m !!? (-1,0)
+--   Nothing
+--   >>>  m !!? (-1,1)
+--   Nothing
+--   >>>  m !!? (0,-1)
+--   Nothing
+--   >>>  m !!? (0,0)
+--   Just 1
+--   >>>  m !!? (0,1)
+--   Just 2
+--   >>>  m !!? (1,-1)
+--   Nothing
+--   >>>  m !!? (1,0)
+--   Just 3
+--   >>>  m !!? (1,1)
+--   Just 4
+--   >>>  m !!? (2,-1)
+--   Nothing
+--   >>>  m !!? (2,0)
+--   Nothing
+--   >>>  m !!? (2,1)
+--   Nothing
+--   >>>  m !!? (2,2)
+--   Nothing
+--
 (!!?) :: (Arity m, Arity n) => Mat m n a -> (Int, Int) -> Maybe a
-(!!?) matrix (i, j)
-  | i < 0 || j < 0 = Nothing
-  | i > (nrows matrix) - 1 = Nothing
-  | j > (ncols matrix) - 1 = Nothing
-  | otherwise = Just $ matrix !!! (i,j)
+(!!?) matrix idx =
+  ifoldl2 f Nothing matrix
+  where
+    f k l found cur = if (k,l) == idx then (Just cur) else found
 
 
 -- | The number of rows in the matrix.
@@ -266,10 +297,34 @@ identity_matrix =
 --   Examples:
 --
 --   >>> let m1 = fromList [[20,-1], [-1,20]] :: Mat2 Double
---   >>> cholesky m1
---   ((4.47213595499958,-0.22360679774997896),(0.0,4.466542286825459))
---   >>> (transpose (cholesky m1)) * (cholesky m1)
---   ((20.000000000000004,-1.0),(-1.0,20.0))
+--   >>> let r = cholesky m1
+--   >>> frobenius_norm ((transpose r)*r - m1) < 1e-10
+--   True
+--   >>> is_upper_triangular r
+--   True
+--
+--   >>> import Naturals ( N7 )
+--   >>> let k1 = [6, -3, 0, 0, 0, 0, 0] :: [Double]
+--   >>> let k2 = [-3, 10.5, -7.5, 0, 0, 0, 0] :: [Double]
+--   >>> let k3 = [0, -7.5, 12.5, 0, 0, 0, 0] :: [Double]
+--   >>> let k4 = [0, 0, 0, 6, 0, 0, 0] :: [Double]
+--   >>> let k5 = [0, 0, 0, 0, 6, 0, 0] :: [Double]
+--   >>> let k6 = [0, 0, 0, 0, 0, 6, 0] :: [Double]
+--   >>> let k7 = [0, 0, 0, 0, 0, 0, 15] :: [Double]
+--   >>> let big_K = fromList [k1,k2,k3,k4,k5,k6,k7] :: Mat N7 N7 Double
+--
+--   >>> let e1 = [2.449489742783178,0,0,0,0,0,0] :: [Double]
+--   >>> let e2 = [-1.224744871391589,3,0,0,0,0,0] :: [Double]
+--   >>> let e3 = [0,-5/2,5/2,0,0,0,0] :: [Double]
+--   >>> let e4 = [0,0,0,2.449489742783178,0,0,0] :: [Double]
+--   >>> let e5 = [0,0,0,0,2.449489742783178,0,0] :: [Double]
+--   >>> let e6 = [0,0,0,0,0,2.449489742783178,0] :: [Double]
+--   >>> let e7 = [0,0,0,0,0,0,3.872983346207417] :: [Double]
+--   >>> let expected = fromList [e1,e2,e3,e4,e5,e6,e7] :: Mat N7 N7 Double
+--
+--   >>> let r = cholesky big_K
+--   >>> frobenius_norm (r - (transpose expected)) < 1e-12
+--   True
 --
 cholesky :: forall m n a. (Algebraic.C a, Arity m, Arity n)
          => (Mat m n a) -> (Mat m n a)
@@ -294,29 +349,26 @@ cholesky m = construct r
 --   >>> is_upper_triangular' 1e-10 m
 --   True
 --
---   TODO:
---
---     1. Don't cheat with lists.
---
-is_upper_triangular' :: (Ord a, Ring.C a, Absolute.C a, Arity m, Arity n)
+is_upper_triangular' :: forall m n a.
+                        (Ord a, Ring.C a, Absolute.C a, Arity m, Arity n)
                     => a -- ^ The tolerance @epsilon@.
                     -> Mat m n a
                     -> Bool
-is_upper_triangular' epsilon m =
-  and $ concat results
+is_upper_triangular' epsilon matrix =
+  ifoldl2 f True matrix
   where
-    results = [[ test i j | i <- [0..(nrows m)-1]] | j <- [0..(ncols m)-1] ]
-
-    test :: Int -> Int -> Bool
-    test i j
+    f :: Int -> Int -> Bool -> a -> Bool
+    f _ _ False _ = False
+    f i j True x
       | i <= j = True
       -- use "less than or equal to" so zero is a valid epsilon
-      | otherwise = abs (m !!! (i,j)) <= epsilon
+      | otherwise = abs x <= epsilon
 
 
 -- | Returns True if the given matrix is upper-triangular, and False
---   otherwise. A specialized version of 'is_upper_triangular\'' with
---   @epsilon = 0@.
+--   otherwise. We don't delegate to the general
+--   'is_upper_triangular'' here because it imposes additional
+--   typeclass constraints throughout the library.
 --
 --   Examples:
 --
@@ -328,18 +380,22 @@ is_upper_triangular' epsilon m =
 --   >>> is_upper_triangular m
 --   True
 --
---   TODO:
---
---     1. The Ord constraint is too strong here, Eq would suffice.
---
-is_upper_triangular :: (Ord a, Ring.C a, Absolute.C a, Arity m, Arity n)
+is_upper_triangular :: forall m n a.
+                       (Eq a, Ring.C a, Arity m, Arity n)
                     => Mat m n a -> Bool
-is_upper_triangular = is_upper_triangular' 0
+is_upper_triangular matrix =
+  ifoldl2 f True matrix
+  where
+    f :: Int -> Int -> Bool -> a -> Bool
+    f _ _ False _ = False
+    f i j True x
+      | i <= j = True
+      | otherwise = x == 0
+
 
 
 -- | Returns True if the given matrix is lower-triangular, and False
---   otherwise. This is a specialized version of 'is_lower_triangular\''
---   with @epsilon = 0@.
+--   otherwise.
 --
 --   Examples:
 --
@@ -351,9 +407,8 @@ is_upper_triangular = is_upper_triangular' 0
 --   >>> is_lower_triangular m
 --   False
 --
-is_lower_triangular :: (Ord a,
+is_lower_triangular :: (Eq a,
                         Ring.C a,
-                        Absolute.C a,
                         Arity m,
                         Arity n)
                     => Mat m n a
@@ -607,9 +662,9 @@ vec5d (v,w,x,y,z) = Mat (mk5 (mk1 v) (mk1 w) (mk1 x) (mk1 y) (mk1 z))
 scalar :: a -> Mat1 a
 scalar x = Mat (mk1 (mk1 x))
 
-dot :: (RealRing.C a, n ~ N1, m ~ S t, Arity t)
-       => Mat m n a
-       -> Mat m n a
+dot :: (RealRing.C a, m ~ S t, Arity t)
+       => Col m a
+       -> Col m a
        -> a
 v1 `dot` v2 = ((transpose v1) * v2) !!! (0, 0)
 
@@ -625,12 +680,11 @@ v1 `dot` v2 = ((transpose v1) * v2) !!! (0, 0)
 --
 angle :: (Transcendental.C a,
           RealRing.C a,
-          n ~ N1,
           m ~ S t,
           Arity t,
           ToRational.C a)
-          => Mat m n a
-          -> Mat m n a
+          => Col m a
+          -> Col m a
           -> a
 angle v1 v2 =
   acos theta
@@ -843,3 +897,17 @@ ifoldl2 f initial (Mat rows) =
     row_function rowinit idx r = V.ifoldl (g idx) rowinit r
 
 
+-- | Map a function over a matrix of any dimensions, passing the
+--   coordinates @i@ and @j@ to the function @f@.
+--
+--   Examples:
+--
+--   >>> let m = fromList [[1,2],[3,4]] :: Mat2 Int
+--   >>> imap2 (\i j _ -> i+j) m
+--   ((0,1),(1,2))
+--
+imap2 :: (Int -> Int -> a -> b) -> Mat m n a -> Mat m n b
+imap2 f (Mat rows) =
+  Mat $ V.imap g rows
+  where
+    g i = V.imap (f i)