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-- Haskell: The Craft of Functional Programming
-- Simon Thompson
-- (c) Addison-Wesley, 1999.
-- Chapter 19
-- Time and space behaviour
-- ^^^^^^^^^^^^^^^^^^^^^^^^
module Chapter19 where
import Prelude hiding (map)
-- Various functions whose complexity is discussed.
-- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-- Naive Fibonacci function
fib 0 = 0
fib 1 = 1
fib m = fib (m-2) + fib (m-1)
-- Naive factorial function
fac :: Int -> Int
fac 0 = 1
fac n = n * fac (n-1)
-- Insertion sort
iSort :: Ord a => [a] -> [a]
iSort [] = []
iSort (x:xs) = ins x (iSort xs)
ins :: Ord a => a -> [a] -> [a]
ins x [] = [x]
ins x (y:ys)
| (x<=y) = x:y:ys
| otherwise = y:ins x ys
-- Quicksort
qSort :: Ord a => [a] -> [a]
qSort [] = []
qSort (x:xs) = qSort [z|z<-xs,z<=x] ++ [x] ++ qSort [z|z<-xs,z>x]
-- Two reverse functions
rev1 [] = []
rev1 (x:xs) = rev1 xs ++ [x]
rev2 = shunt []
shunt xs [] = xs
shunt xs (y:ys) = shunt (y:xs) ys
-- Two multiplication functions
mult n 0 = 0
mult n m = mult n (m-1) + n
russ n 0 = 0
russ n m
| (m `mod` 2 == 0) = russ (n+n) (m `div` 2)
| otherwise = russ (n+n) (m `div` 2) + n
-- The merge sort function
mSort xs
| (len < 2) = xs
| otherwise = mer (mSort (take m xs)) (mSort (drop m xs))
where
len = length xs
m = len `div` 2
mer (x:xs) (y:ys)
| (x<=y) = x : mer xs (y:ys)
| otherwise = y : mer (x:xs) ys
mer (x:xs) [] = (x:xs)
mer [] ys = ys
-- Implementations of sets
-- ^^^^^^^^^^^^^^^^^^^^^^^
-- Sets implemented as _unordered_ lists.
-- type Set a = [a]
-- empty = []
-- memSet = member
-- inter xs ys = filter (member xs) ys
-- union = (++)
-- subSet xs ys = and (map (member ys) xs)
-- eqSet xs ys = subSet xs ys && subSet ys xs
-- makeSet = id
-- mapSet = map
--
-- Space behaviour
-- ^^^^^^^^^^^^^^^
-- Lazy evaluation
-- ^^^^^^^^^^^^^^^
-- List examples
exam1 n = [1 .. n] ++ [1 .. n]
exam2 n = list ++ list
where
list=[1 .. n]
exam3 n = [1 .. n] ++ [last [1 .. n]]
exam4 n = list ++ [last list]
where
list=[1 .. n]
-- Saving space?
-- ^^^^^^^^^^^^^
-- A new version of factorial
newFac :: Int -> Int
newFac n = aFac n 1
aFac 0 p = p
aFac n p = aFac (n-1) (p*n)
-- This can be modified thus:
-- aFac n p
-- | p==p = aFac (n-1) (p*n)
-- Miscellaneous functions
sumSquares :: Integer -> Integer
sumSquares n = sumList (map sq [1 .. n])
sumList = foldr (+) 0
sq n = n*n
-- Folding revisited
-- ^^^^^^^^^^^^^^^^^
-- Map defined using foldr
map f = foldr ((:).f) []
-- Factorial using foldr
facFold n = foldr (*) 1 [1 .. n]
-- Examples
foldEx1 n = foldr (&&) True (map (==2) [2 .. n])
-- Avoiding re-computation: memoization
-- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-- The Fibonacci numbers
-- A naive algorithm is given earlier in this script.
-- An algorithm which returns a pair of consecutive Fibonacci numbers.
fibP :: Int -> (Int,Int)
fibP 0 = (0,1)
fibP n = (y,x+y)
where
(x,y) = fibP (n-1)
-- The list of Fibonacci values, defined directly.
fibs ::[Int]
fibs = 0 : 1 : zipWith (+) fibs (tail fibs)
-- Dynamic programming: maximal common subsequence
-- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-- The naive algorithm ...
mLen :: Eq a => [a] -> [a] -> Int
mLen xs [] = 0
mLen [] ys = 0
mLen (x:xs) (y:ys)
| x==y = 1 + mLen xs ys
| otherwise = max (mLen xs (y:ys)) (mLen (x:xs) ys)
-- ... translated to talk about sub-components of lists, described by their
-- endpoints ...
maxLen :: Eq a => [a] -> [a] -> Int -> Int -> Int
maxLen xs ys 0 j = 0
maxLen xs ys i 0 = 0
maxLen xs ys i j
| xs!!(i-1) == ys!!(j-1) = (maxLen xs ys (i-1) (j-1)) + 1
| otherwise = max (maxLen xs ys i (j-1))
(maxLen xs ys (i-1) j)
-- ... and then transliterated into a memoised version.
maxTab :: Eq a => [a] -> [a] -> [[Int]]
maxTab xs ys
= result
where
result = [0,0 .. ] : zipWith f [0 .. ] result
f i prev
= ans
where
ans = 0 : zipWith g [0 .. ] ans
g j v
| xs!!i == ys!!j = prev!!j + 1
| otherwise = max v (prev!!(j+1))