X-Git-Url: http://lambda.jimpryor.net/git/gitweb.cgi?p=lambda.git;a=blobdiff_plain;f=assignment3.mdwn;h=e240b732b1405e176d696bbab3c5974a1d125f35;hp=e91eeee58765ddf36d5f331b42de2d8e6ee84c5e;hb=HEAD;hpb=4b32ef1b335f61cabb654b2e5c91ba3611b42650 diff --git a/assignment3.mdwn b/assignment3.mdwn deleted file mode 100644 index e91eeee5..00000000 --- a/assignment3.mdwn +++ /dev/null @@ -1,134 +0,0 @@ -Assignment 3 ------------- - -Once again, the lambda evaluator will make working through this -assignment much faster and more secure. - -#Writing recursive functions on version 1 style lists# - -Recall that version 1 style lists are constructed like this (see -[[lists and numbers]]): - -
-; booleans -let true = \x y. x in -let false = \x y. y in -let and = \l r. l (r true false) false in - -; version 1 lists -let makePair = \f s g. g f s in -let fst = true in -let snd = false in -let nil = makePair true meh in -let isNil = \x. x fst in -let makeList = \h t. makePair false (makePair h t) in -let head = \l. isNil l err (l snd fst) in -let tail = \l. isNil l err (l snd snd) in - -; a list of numbers to experiment on -let mylist = makeList 1 (makeList 2 (makeList 3 nil)) in - -; a fixed-point combinator for defining recursive functions -let Y = \f. (\h. f (h h)) (\h. f (h h)) in - -; church numerals -let isZero = \n. n (\x. false) true in -let succ = \n s z. s (n s z) in -let mult = \m n s. m (n s) in -let length = Y (\length l. isNil l 0 (succ (length (tail l)))) in -let pred = \n. isZero n 0 (length (tail (n (\p. makeList meh p) nil))) in -let leq = \m n. isZero(n pred m) in -let eq = \m n. and (leq m n)(leq n m) in - -eq 2 2 yes no -- - -Then `length mylist` evaluates to 3. - -1. What does `head (tail (tail mylist))` evaluate to? - -2. Using the `length` function as a model, and using the predecessor -function, write a function that computes factorials. (Recall that n!, -the factorial of n, is n times the factorial of n-1.) - -Warning: my browser isn't able to compute factorials of numbers -greater than 2 (it does't provide enough resources for the JavaScript -interpreter; web pages are not supposed to be that computationally -intensive). - -3. (Easy) Write a function `listLenEq` that returns true just in case two lists have the -same length. That is, - - listLenEq mylist (makeList meh (makeList meh (makeList meh nil))) ~~> true - - listLenEq mylist (makeList meh (makeList meh nil))) ~~> false - - -4. (Still easy) Now write the same function, but don't use the length function. - -5. In assignment 2, we discovered that version 3-type lists (the ones that -work like Church numerals) made it much easier to define operations -like `map` and `filter`. But now that we have recursion in our toolbox, -reasonable map and filter functions for version 1 lists are within our -reach. Give definitions for `map` and a `filter` for verson 1 type lists. - -#Computing with trees# - -Linguists analyze natural language expressions into trees. -We'll need trees in future weeks, and tree structures provide good -opportunities for learning how to write recursive functions. -Making use of the resources we have at the moment, we can approximate -trees as follows: instead of words, we'll use Church numerals. -Then a tree will be a (version 1 type) list in which each element is -itself a tree. For simplicity, we'll adopt the convention that -a tree of length 1 must contain a number as its only element. -Then we have the following representations: - -
- (a) (b) (c) - . - /|\ /\ /\ - / | \ /\ 3 1 /\ - 1 2 3 1 2 2 3 - -[[1];[2];[3]] [[[1];[2]];[3]] [[1];[[2];[3]]] -- -Limitations of this scheme include the following: there is no easy way -to label a constituent with a syntactic category (S or NP or VP, -etc.), and there is no way to represent a tree in which a mother has a -single daughter. - -When processing a tree, you can test for whether the tree contains -only a numeral (in which case the tree is leaf node) by testing for -whether the length of the list is less than or equal to 1. This will -be your base case for your recursive functions that operate on these -trees. - -1. Write a function that sums the number of leaves in a tree. - -Expected behavior: - -
-let t1 = (makeList 1 nil) in -let t2 = (makeList 2 nil) in -let t3 = (makeList 3 nil) in -let t12 = (makeList t1 (makeList t2 nil)) in -let t23 = (makeList t2 (makeList t3 nil)) in -let ta = (makeList t1 t23) in -let tb = (makeList t12 t3) in -let tc = (makeList t1 (makeList t23 nil)) in - -sum-leaves t1 ~~> 1 -sum-leaves t2 ~~> 2 -sum-leaves t3 ~~> 3 -sum-leaves t12 ~~> 3 -sum-leaves t23 ~~> 5 -sum-leaves ta ~~> 6 -sum-leaves tb ~~> 6 -sum-leaves tc ~~> 6 -- -2. Write a function that counts the number of leaves. -