pearls of functional algorithm design chapter 1 1 roger l. costello june 2011
TRANSCRIPT
1
Pearls of Functional Algorithm Design
Chapter 1
Roger L. CostelloJune 2011
2
I am reading this book
3
Chapter 1
• The following slides amplifies the content of the book’s Chapter 1.
• Chapter 1 shows three ways to solve the problem of finding the smallest free number. Also, it shows a neat sorting algorithm.
• Slides 1 – 57 describes version #1 of finding the smallest free number.
• Slides 58 – 89 describes the sorting algorithm.• Slides 90 – 105 describes version #2 of finding the
smallest free number.• Slides 106 – 133 describes version #3 of finding the
smallest free number.
4
What is Functional Algorithm Design?
• It is solving problems by composing functions.
5
Function Composition
map toUpper
maptoUpper
+
6
Function Composition (cont.)
map toUpper
“hello world”
“HELLO WORLD”
7
Attention
• As you go through these slides, be alert to the functions (puzzle pieces) used.
• Observe how they are composed to solve problems (i.e., how the puzzle pieces are put together to create something new).
• Example: The previous slide composed two functions to solve a problem -- convert strings to uppercase.
8
The Problem We Will Solve
9
Recurring Problem
• Cooking: a recipe calls for this list of ingredients: eggs, flour, milk, chocolate. In my kitchen I have some ingredients. Is there a difference between what the recipe requires versus what I have in my kitchen?
10
Recurring Problem (cont.)
• Product Inventory: the inventory sheet says one thing. The actual products on the shelf says another. Is there a difference between what the inventory sheet says versus what is actually on the shelves?
11
Recurring Problem (cont.)
• Air Mission: the air mission calls for aircraft and weapons. In the military unit there are aircraft and weapons. Is there a difference between what the air mission requires versus what is in the military unit?
12
Problem Statement
• Find the difference between list A and list B.• List A is in ascending order; list B is in no
particular order.
13
Just the First Difference
• We will just find the first difference, not all the differences.
14
Abstract Representation of the Problem
• List A: represent it using the natural numbers, N = (0, 1, …)
• List B: also represent it using the natural numbers; the numbers may be in any order
15
What is the smallest number not in this list?
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
15
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Problem Re-Statement
• Find the smallest natural number not in a given finite list of natural numbers.
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We Will Solve The Problem In Two Ways
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Solution #1
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notElem
• “notElem” is a standard function.• It takes two arguments, a value and a list.• It returns True if the value is not an element of
the list, False otherwise.
notElem 23 [08, 23, 09, …, 06]
False
20
notElem (cont.)
• The notElem function can be used to help solve the problem.
• Iterate through each natural number and see if it is not an element of the list. Retain any natural number not in the list.
• See next slide. (Note: “N” denotes the natural numbers: 0, 1, 2, …)
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for each x in N
notElem?
x
[08, 23, 09, …, 06]nodiscard x
yes
retain x
22
filter
• “filter” is a standard function.• It does all that stuff shown on the previous
slide: – it selects, one by one, the values in N– it hands the value to the notElem function, “Hey, is
this value not an element of [08, 23, 09, …, 06]?” – if notElem returns True, it retains the value.
23
Compose filter and notElem
filter (notElem ___) [0, 1, 2, ..]
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
[15, 16, 18, 20, 22, 24, 25, 26, 27, …]
24
head
• “head” is a standard function.• It selects the first value in a list.• Compose it with filter and notElem to
complete the solution:
head (filter (notElem ___) [0, 1, 2, ..])
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
15
25
Solution #1
head (filter (notElem xs) [0 ..])
xs (pronounced, ex’es) is the list that we are analyzing.[0 ..] is the natural numbers.
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Solution #2
27
Okay to discard some values
• Recall that we are analyzing a list of values.• We are representing the values using numbers.• We represent one value as 0, another value as 2,
and so forth.• Suppose we have 20 values. Suppose one of the
values has the number 23. We can discard it.• Therefore, use the filter function to retain only
values that are less than the length of the list.
28
Example
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
length = 20
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Example (cont.)
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
<=
x
length [08, 23, …, 06]nodiscard x
yes
retain x
30
Example (cont.)
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
filter (<=n) xs where n = length xs
[08, 09, 00, 12, 11, 01, 10, 13, 07, 04, 14, 05, 17, 03, 19, 02, 06]
These values are discarded: 23, 21
31
zip
• “zip” is a standard function.• It takes two lists and zips them up (just like a
zipper zips up two pieces of clothing). That is, it pairs: – the first value in the first list with the first value in
the second list– the second value in the first list with the second
value in the second list – etc.
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zip (cont.)
Pair this value with this value
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zip the filtered set with a list of True values
[08, 09, 00, 12, 11, 01, 10, 13, 07, 04, 14, 05, 17, 03, 19, 02, 06] [True, True, …]
zip
[(08, True), (09, True), (00, True), (12, True), (11, True), …, (06, True)]
34
repeat
• “repeat” is a standard function.• It repeats its argument an infinite number of
times.
repeat True
[True, True, True, …]
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Create a list of pairs
zip (filter (<=n) xs) (repeat True)where n = length xs
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
[(08, True), (09, True), (00, True), (12, True), (11, True), …, (06, True)]
36
Association List
• A list of pairs is called an “association list” (or alist for short)
• The first value in a pair is the index. The second value is the value.
• A value can be quickly obtained given its index.
[(08, True), (09, True), (00, True), (12, True), (11, True), …, (06, True)]
Association List:
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“OR” each value in the alist with False
• For all indexes from 0 to the length of the list, OR the value with False. OR is represented by this symbol: ||
[(0,True),(1,True),(2,True),(3,True),(4,True), …,(14,True),(17,True), (19,True)]
(||) False
[(0,True),(1,True),(2,True),(3,True),(4,True), …,(14,True),(15,False),(16,False),…]
(||) False (||) False………………. (||) False………. ……….
38
Gaps result in the creation of a pair with a value of False
[(0,True),(1,True),(2,True),(3,True),(4,True), …,(14,True),(17,True), (19,True)]
Here’s a gap in the alist.It produces a pair with avalue of False.
39
accumArray
• “accumArray” is a standard function.• It does all the stuff shown on the previous two
slides: For each index from 0 to the length of the list do
Apply a function (e.g., ||) to the value
40
Nearly finished!
accumArray (||) False (zip (filter (<=n) xs) (repeat True)) where n = length xs
[08, 23, 09, 00, 12, 11, 01, 10, 13, 07, 41, 04, 14, 21, 05, 17, 03, 19, 02, 06]
[(0,True),(1,True),(2,True),(3,True),(4,True), …,(14,True),(15,False),(16,False),…]
41
checklist
• “checklist” is a (user-defined) function; it is the collection of functions shown on the previous slide (copied below).
accumArray (||) False (zip (filter (<=n) xs) (repeat True)) where n = length xs
checklist
42
elems
• “elems” is a standard function.• Give it an alist and it returns its values:
[(0,True),(1,True),(2,True),(3,True),(4,True), …,(14,True),(15,False),(16,False),…]
elems
[True, True, True, True, True, …,True, False, False, True, True]
43
id
• “id” is a standard function.• It is the identity function; give it a value and it
returns the same value:
True
id
True
False
id
False
44
takeWhile
• “takeWhile” is a standard function.• It takes two arguments, a function and a list; it
starts at the beginning of the list and retains each value until it arrives at a value for which the function returns False.
45
takeWhile (cont.)
takeWhile id ___
[True, True, True, True, True, …,True]
[True, True, True, True, True, …,True, False, False, True, True]
takeWhile stops when it gets to the first False.
46
length
• “length” is a standard function.• It takes one argument, a list; it returns the
number of values in the list:
length ___
15
[True, True, True, True, True, …,True]
47
Hey, that’s the answer!
length ___
15
[True, True, True, True, True, …,True]
“15” is theanswer to
the problem
48
From alist to answer
[(0,True),(1,True),(2,True),(3,True),(4,True), …,(14,True),(15,False),(16,False),…]
length takeWhile id elems ___
15
49
search
• “search” is a (user-defined) function; it is the collection of functions shown on the previous slide (copied below).
length takeWhile id elems
search
50
Solution #2
search checklist xs
xs (pronounced, ex’es) is the list we are analyzing
51
Comparison of the two solutions
52
Solution #1
• With a list of length “n” this solution takes, in the worst case, on the order of n2 steps.
• This will give you an idea of idea how fast the time requirements grow:
n time
1 1
2 4
3 9
4 16
5 25
6 36
53
Solution #2
• With a list of length “n” this solution takes on the order of n steps.
• That is, it is a linear-time solution for the problem. That’s nice!
54
Implementation
55
Haskell
• Haskell is a functional programming language.• The following slides show how to express the
two solutions using Haskell.
56
Solution #1
findGap :: [Int] -> IntfindGap xs = head (filter (`notElem` xs) [0..])
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Solution #2
import Data.Array
checklist :: [Int] -> Array Int Boolchecklist xs = accumArray (||) False (0,n) (zip (filter (<=n) xs) (repeat True)) where n = length xs
search :: Array Int Bool -> Intsearch = length . takeWhile id . elems
findGap = search . checklist
58
Sort
Problem: Sort a list of values
59
The Problem We Will Solve
60
Recurring Pattern
• Kitchen: In my kitchen I have a 2 quart sauce pan, a 1 quart sauce pan, a 5 quart sauce pan, and another 2 quart sauce pan. I want to organize (sort) them by increasing size.
61
Recurring Pattern
• Bookshelf: On my bookshelf I have a bunch of books. I want to organize (sort) them by author.
62
Problem Statement
• Sort a list of items. There may be duplicates in the list; that’s okay.
63
Abstract Representation of the Problem
• Represent the items in the list using the natural numbers, N = (0, 1, …)
64
Example of sorting a list
[08, 15, 09, 00, 12, 11, 01, 10, 13, 07, 16, 04, 14, 15, 05, 17, 03, 19, 02, 06]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 15, 16, 17, 19]
sort
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Important Assumptions
• Assumption: Each item in the list has a value that is less than the length of the list – On the previous slide the list contains 20 elements.
Thus, each item’s value is 0≤x<20
• Assumption: Duplicates are okay. – On the previous slide there are two occurrences
of 15
66
Time Required
• Given the assumptions on the previous slide, the algorithm shown on the following slides performs a sort in a time proportional to the length of the list.
• That is, the time to sort is linear, i.e., O(n)• That’s fast!
67
Create a list of 1’susing the repeat function
repeat 1
[1, 1, 1, …]
68
Create a list of pairsusing the zip function
[08, 15, 09, 00, 12, 11, 01, 10, 13, 07, 16, 04, …, 19, 02, 06] [1, 1, …]
zip
[(08, 1) , (15, 1), (09, 1), (00, 1), (12, 1), (11, 1), (01, 1), (10, 1)…, (06, 1)]
69
Compose the zip and repeat functions
zip ___ (repeat 1)
[08, 15, 09, 00, 12, 11, 01, 10, 13, 07, 16, 04, 14, 15, 05, 17, 03, 19, 02, 06]
[(08, 1) , (15, 1), (09, 1), (00, 1), (12, 1), (11, 1), (01, 1), (10, 1)…, (06, 1)]
70
Interpret each pair as(index, count)
[(08, 1) , (15, 1), (09, 1), (00, 1), (12, 1), (11, 1), (01, 1), (10, 1)…, (06, 1)]
index
one occurrence
71
Merge pairs with the same index(add their count values)
[(08, 1) , (15, 1), (09, 1), (00, 1), (12, 1), (11, 1), … (15, 1)…, (06, 1)]
(15, 2)
“There are two occurrences of 15”
72
The accumArray Function
• The accumArray function goes through a list of pairs and merges the pairs that have a duplicate index.
• accumArray is flexible in how it merges – you supply it a function and it will use that function to merge the pairs’ values.
• In our problem we supply it the plus (+) function because we want the values added.
73
The accumArray Function (cont.)
• The accumArray function has four arguments. I describe them in reverse order:– A list of pairs, such as that shown two slides back– A pair, (0, n), where n is the length of the list– An initial value for the function (see next)– A function to be applied on the values of pairs with
duplicate indexes
74
The result is an “array”
[(08, 1) , (15, 1), (09, 1), (00, 1), (12, 1), (11, 1), … (15, 1)…, (06, 1)]
accumArray (+) 0 (0, n) (___)where n = length xs
array (0,20) [(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),(6,1),(7,1),…,(19,1),(20,0)]
75
ComposeaccumArray, zip, and repeat
[08, 15, 09, 00, 12, 11, 01, 10, 13, 07, 16, 04, 14, 15, 05, 17, 03, 19, 02, 06]
accumArray (+) 0 (0, n) (zip xs (repeat 1))where n = length xs
array (0,20) [(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),(6,1),(7,1),…,(15,2),…,(19,1),(20,0)]
76
countlist
• “countlist” is a (user-defined) function; it is the collection of functions shown on the previous slide (copied below).
accumArray (+) 0 (0, n) (zip xs (repeat 1))where n = length xs
countlist
77
The assocs Function
• The function takes as its argument an array and returns just the list of pairs.
array (0,20) [(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),(6,1),(7,1),…,(15,2),…,(19,1),(20,0)]
assocs ____
[(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),(6,1),(7,1),…,(15,2),…,(19,1),(20,0)]
78
Replicate n times the index in (index, n)
[(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),(6,1),(7,1),…,(15,2),…,(19,1),(20,0)]
(15) (15)
replicate twice
(0) (1)………………………..
replicate oncereplicate once
79
The replicate function
• The replicate function creates n copies of a value. It returns a list, containing n items.
replicate 3 "Ho" returns ["Ho","Ho","Ho"]
replicate 2 15 returns [15,15]
80
Recall “set comprehensions”from your school days
}10,|2{ xNxx
“The set of the first ten even numbers”
A set comprehension builds a more specific set out of a general set. In this example, the more general set is N, the set of natural numbers.
81
Terminology
}10,|2{ xNxx
outputfunction
variableinputset
predicate
82
List Comprehensions
• List comprehensions are similar to set comprehensions.
• The set comprehension on the previous slide is equivalently expressed in Haskell using this list comprehension:
[2*x|x <- [1..10]]
[2,4,6,8,10,12,14,16,18,20]
83
Explanation
[2*x|x <- [1..10]]
“x is drawn from [1 .. 10] and for every value drawn, that value is doubled.”
84
Create a list of the indexes
[(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),…(13,1),(14,1),(15,2),(16,1),(17,1),(18,0),(19,1),(20,0)]
[x | (x,y) <- ____ ]
[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]
Oops! There should be two of these. Need to replicate.
85
Replicate the indexes the proper number of times
[(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),…(13,1),(14,1),(15,2),(16,1),(17,1),(18,0),(19,1),(20,0)]
[replicate y x | (x,y) <- ____ ]
[[0],[1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15,15],[16],[17],[],[19],[]]
Now we need to merge (concat) the list of lists.
86
The concat function
• The concat function creates a single list out of a list of lists
[[0],[1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15,15],[16],[17],[],[19],[]]
concat ____
[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,15,16,17,19]
87
array -> sorted list
array (0,20) [(0,1),(1,1),(2,1),(3,1),(4,1),(5,1),(6,1),(7,1),…,(15,2),…,(19,1),(20,0)]
concat [replicate k x | (x, k) <- assocs (countlist xs)]
[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,15,16,17,19]
88
sort
• “sort” is a (user-defined) function; it is the collection of functions shown on the previous slide (copied below).
concat [replicate k x | (x, k) <- assocs (countlist xs)]
sort
89
Here’s the Solution
import Data.Array
countlist :: [Int] -> Array Int Intcountlist xs = accumArray (+) 0 (0, n) (zip xs (repeat 1)) where n = length xs
sort :: [Int] -> [Int] sort xs = concat [replicate k x | (x, k) <- assocs $ countlist xs]
90
Find the smallest free number
Version #2
91
The Problem We Will Solve
92
Problem Statement
• Find the smallest natural number not in a given finite list of natural numbers.
93
What is the smallest number not in this list?
15
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
94
Important Assumptions
• Assumption: Each item in the list has a value that is less than the length of the list – On the previous slide the list contains 19 elements.
Thus, each item’s value is 0≤x<19
• Assumption: Duplicates are okay. – On the previous slide there are three occurrences
of 14
95
Recall the countlist function
array (0,19) [(0,1),(1,1),(2,1),(3,1),(4,1), … , (14,3),(15,0),(16,0),(17,1),(18,0),(19,1)]
countlist ___
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
See slides 67-76 for an explanation of the countlist function.
96
The countlist function
accumArray (+) 0 (0, n) (zip xs (repeat 1))where n = length xs
countlist
xs is the list of Natural numbers.
97
Recall the checklist function
• The first version (see slides 27-41) to the problem used the checklist function:
checklist xs = accumArray (||) False (0,n) (zip (filter (<=n) xs) (repeat True)) where n = length xs
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
array (0,19) [(0,True),(1,True),(2,True),(3,True),(4,True),…,(14,True),(15,False),(16,False),(17,True),(18,False),(19,True)]
Compare countlist and checklist
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
countlist xs = accumArray (+) 0 (0, n) (zip xs (repeat 1)) where n = length xs
array (0,19) [(0,1),(1,1),(2,1),(3,1),(4,1), … , (14,3),(15,0),(16,0),(17,1),(18,0),(19,1)]
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
checklist xs = accumArray (||) False (0,n) (zip (filter (<=n) xs) (repeat True)) where n = length xs
array (0,19) [(0,True),(1,True),(2,True),(3,True),(4,True),…,(14,True),(15,False),(16,False),(17,True),(18,False),(19,True)]
99
We will use countlistto solve the problem
100
A number that was not in the inputwill have the form (_, 0)
array (0,19) [(0,1),(1,1),(2,1),(3,1),(4,1), … , (14,3),(15,0),(16,0),(17,1),(18,0),(19,1)]
countlist ___
These numbers were not in the input list, as indicated by 0 in the second value of their pairs
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
101
Select all pairs with (_,0)
[(x, k) | (x, k) <- assocs (countlist ___), k == 0]
[(15,0), (16,0), (18,0)]
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
102
Explanation of this list comprehension
[(x, k) | (x, k) <- assocs (countlist xs), k == 0]
input set
predicate
“The (x, k) pairs are drawn from the list of pairs returned by the assocs function (after applying the condition that the second value in each pair equal zero).”
103
Select just the first value in each pair
[x | (x, k) <- assocs (countlist ___), k == 0]
[15, 16, 18]
For each pair, output only the first value.
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
104
Select the first value
head [x | (x, k) <- assocs (countlist ___), k == 0]
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 14, 14, 5, 17, 3, 19, 2, 6]
15
head returns the first item in the list.
105
Here’s the Solution
import Data.Array
countlist :: [Int] -> Array Int Intcountlist xs = accumArray (+) 0 (0, n) (zip xs (repeat 1)) where n = length xs
findGap :: [Int] -> Int findGap xs = head [x | (x, k) <- assocs $ countlist xs, k == 0]
106
Find the smallest free number
Version 3
107
The Problem We Will Solve
108
Problem Statement
• Find the smallest natural number not in given finite list of natural numbers.
109
What is the smallest number not in this list?
15
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
110
Divide and Conquer
• We will split the list in half, determine if the left half contains a missing number and if it does we will recurse on that, otherwise we recurse on the right half.
• We will use the Haskell partition function. It divides a list into a pair consisting of two lists. It has two arguments:– A Boolean function– A list
For each element in the list, if the Boolean function evaluates it to True then it goes in the first list, otherwise it goes in the second list.
partition (<10) [2, 45, 5, 18, 12] returns ([2,5],[45,18,12])
111
Assumption
• The list we are processing has no duplicates• If the list has duplicates, the algorithm may
enter into an infinite recursion
112
Partition using this function: (<b)where b = half the length of the list
[8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
partition (<b) ___ where b = 1 + n `div` 2 n = length xs
[8,9,0,1,7,4,5,3,2,6] [12,11,10,13,14,24,34,17,19]
b==10
113
Does the left list have gaps?
[8, 9, 0, 1, 7, 4, 5, 3, 2, 6]
How do we tell if the list is any missing numbers?Here’s an easy way to tell: 1. Get the length of the list2. If there are any missing numbers then the length is less than b.
Example: on the previous slide b = length xs `div` 2, which is 10. The length of the above list is 10. Thus, it must not have any gaps. Pretty neat, aye?
114
Variable names we will use
xs = [8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
us = [8,9,0,1,7,4,5,3,2,6] vs = [12,11,10,13,14,24,34,17,19]
a = index of the first item
m
n = length xsb = a + 1 + (n `div` 2)m = length us
partition
115
Does the left list have gaps?
xs = [8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
us = [8,9,0,1,7,4,5,3,2,6] vs = [12,11,10,13,14,24,34,17,19]
a = index of the first item
n = length xsb = a + 1 + (n `div` 2)m = length us
partition
If m == b – a then the left list has no gaps
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If we recurse on the left list …
xs = [8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
xs = [8,9,0,1,7,4,5,3,2,6] vs = [12,11,10,13,14,24,34,17,19]
a = the previous value of a
n = the previous value of m
partition
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If we recurse on the right list …
xs = [8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
us = [8,9,0,1,7,4,5,3,2,6] xs = [12,11,10,13,14,24,34,17,19]
a = the previous value of b
n = the previous value of n minus the previous value of m
partition
118
Let’s trace an example
• The following slides traces the processing of a list using the divide-and-conquer algorithm.
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xs = [8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
a = 0n = length xs = 19b = a + 1 + (n `div` 2) = 0 + 1 + (19 `div` 2) = 10
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xs = [8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
us = [8,9,0,1,7,4,5,3,2,6] vs = [12,11,10,13,14,24,34,17,19]
a = 0n = length xs = 19b = a + 1 + (n `div` 2) = 0 + 1 + (19 `div` 2) = 10
partition (< b) xs
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xs = [8, 9, 0, 12, 11, 1, 10, 13, 7, 4, 14, 24, 34, 5, 17, 3, 19, 2, 6]
us = [8,9,0,1,7,4,5,3,2,6] vs = [12,11,10,13,14,24,34,17,19]
a = 0n = length xs = 19b = a + 1 + (n `div` 2) = 0 + 1 + (19 `div` 2) = 10
partition (< b) xs
m = length us = 10m == b – a == 10 – 0 == TrueTherefore, this list has no missingnumbers and we should recurse onthe other list, vs.
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xs = [12,11,10,13,14,24,34,17,19]
set a to the value of b (10)set n to this value: n – m (19 – 10 = 9)
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xs = [12,11,10,13,14,24,34,17,19]
a = b = 10n = n – m = 19 – 10 = 9
b = a + 1 + (n `div` 2) = 10 + 1 + (9 `div` 2) = 15
124
xs = [12,11,10,13,14,24,34,17,19]
a = b = 10n = n – m = 19 – 10 = 9
b = a + 1 + (n `div` 2) = 10 + 1 + (9 `div` 2) = 15
us = [12,11,10,13,14] vs = [24,34,17,19]
partition (< b) xs
125
xs = [12,11,10,13,14,24,34,17,19]
a = b = 10n = n – m = 19 – 10 = 9
b = a + 1 + (n `div` 2) = 10 + 1 + (9 `div` 2) = 15
partition (< b) xs
m = length us = 5m == b – a == 15 – 10 == TrueTherefore, this list has no missing numbers and we should recurse on the other.
us = [12,11,10,13,14] vs = [24,34,17,19]
126
xs = [24,34,17,19]
set a to the value of b (15)set n to the value of n - m (4)
127
xs = [24,34,17,19]
b = a + 1 + (n `div` 2) = 15 + 1 + (4 `div` 2) = 18
xs = [24,34,17,19]
set a to the value of b (15)set n to the value of n - m (4)
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us = [17] vs = [24,34,19 ]
partition (< b) xs
m = length us = 1m == b – a == 18 – 15 == FalseTherefore, this list has a missing number and we should recurse on it.
xs = [24,34,17,19]
b = a + 1 + (n `div` 2) = 15 + 1 + (4 `div` 2) = 18
xs = [24,34,17,19]
set a to the value of b (15)set n to the value of n - m (4)
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xs = [17]
set a to the old value of a (15)set n to the value of m (1)
130
xs = [17]
set a to the old value of a (15)set n to the value of m (1)
b = a + 1 + (n `div` 2) = 15 + 1 + (1 `div` 2) = 16
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xs = [17]
set a to the old value of a (15)set n to the value of m (1)
b = a + 1 + (n `div` 2) = 15 + 1 + (1 `div` 2) = 16
us = [ ] vs = [17]
partition (< b) xs
m = length us = 0m == b – a == 16 – 15 == FalseTherefore, this list has a missing number and we should recurse on it.
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If n == 0 then return a
set a to the old value of a (15)set n to the value of m (0)
Done! The answer is: 15
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Time Requirements
• With a list of length “n” this algorithm takes on the order of n steps.
• That is, it is a linear-time solution for the problem.
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Here’s the Solution
import List
minfree :: [Int] -> Intminfree xs = minfrom 0 (length xs, xs)
minfrom :: Int -> (Int, [Int]) -> Intminfrom a (n, xs) | n == 0 = a | m == b - a = minfrom b (n - m, vs) | otherwise = minfrom a (m, us) where (us, vs) = partition (<b) xs b = a + 1 + (n `div` 2) m = length us