05-ch5-divconq.ppt

# 05-ch5-divconq.ppt - CS 4102, Algorithms: More Divide and...

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Unformatted text preview: CS 4102, Algorithms: More Divide and Conquer Read: Algorithms text, Chapter 5 Examples: Mergesort Trominos Closest Pair of Points Strassens Matrix Multiplication Algorithm New Problem: Sorting a Sequence The problem: Given a sequence a a n reorder them into a permutation a a n such that a i &lt;= a i+1 for all pairs Specifically, this is sorting in non-descending order Basic operation Comparison of keys. Why? Controls execution, so total operations often proportional Important for definition of a solution Often an expensive operation (say, large strings are keys) However, swapping items is often expensive We can apply same techniques to count swapping in a separate analysis Why Do We Study Sorting? An important problem, often needed Often users want items in some order Required to make many other algorithms work well. Example: For searching on sorted data by comparing keys, optimal solutions require (log n) comparisons using binary search And, for the study of algorithms A history of solutions Illustrates various design strategies and data structures Illustrates analysis methods Can prove something about optimality Mergesort is Classic Divide &amp; Conquer Mergesort Strategy Algorithm: Mergesort Specification: Input: Array list and indexes first, and Last, such that the elements list[i] are defined for first &lt;= i &lt;= last. Output: list[first], , list[last] is sorted rearrangement of the same elements Algorithm: def mergesort(list, first, last): if first &lt; last: mid = (first+last)/2 mergesort(list, first, mid) mergesort(list, mid+1, last) merge(list, first, mid, last) return Exercise: Trace Mergesort Execution Can you trace MergeSort() on this list? A = {8, 3, 2, 9, 7, 1, 5, 4}; Efficiency of Mergesort Cost to divide in half? No comparisons Two subproblems: each size n/2 Combining results? What is the cost of merging two lists of size n/2 Soon well see its n-1 in the worst-case Recurrence relation: W(1) = 0 W(n) = 2 W(n/2)+ Wmerge(n) = 2 W(n/2) + n-1 You can now show that this W(n) (n log n) Merging Sorted Sequences Problem: Given two sequences A and B sorted in non-...
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## This note was uploaded on 03/21/2010 for the course CS 445 taught by Professor Bloomfield,a during the Spring '08 term at UVA.

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05-ch5-divconq.ppt - CS 4102, Algorithms: More Divide and...

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