'Count inversions' presentation slideshows

Chapter 5

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Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2013 Lecture 11. Divide-and-Conquer. Divide-and-conquer. Break up problem into several parts. Solve each part recursively. Combine solutions to sub-problems into overall solution. Most common usage.

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CSE 421 Algorithms

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A Useful Recurrence Relation

A Useful Recurrence Relation. Def. T(n) = number of comparisons to mergesort an input of size n. Mergesort recurrence. Solution. T(n) = O(n log 2 n). Assorted proofs. We describe twoways to prove this recurrence. Initially we assume n is a power of 2 and replace ? with =.

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Lecture 2: Divide and Conquer

Lecture 2: Divide and Conquer. Basic Algorithm Design Techniques. Divide and conquer Dynamic Programming Greedy Common Theme: To solve a large, complicated problem, break it into many smaller sub-problems. Divide and Conquer.

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