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Randomized Algorithms Randomized Algorithms CS648 1
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Overview 2 To design efficient algorithm A new tool to design an efficient algorithm
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RECAP OF THE PREVIOUS LECTURE 3
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Graph and Multi-graph A multi-graph may have: More than one edge between a pair of vertices No self loop 4
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Min-Cut 5
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SOME BASIC FACTS 6
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Min-Cut 7 How about cuts in multi-graph ?
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Algorithm for min-cut 13
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Algorithm for min-cut 14
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Algorithm for min-cut 15
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REVISITING RECURRENCES In the following slides, we shall revisit common recurrences. Try to solve these recurrences in a simple manner instead of using Masters theorem. This will help you develop a useful insight into recurrences. This insight will help you fine-tune the previous inefficient algorithm and eventually lead to design (and analysis) of a more efficient algorithm for min-cut. 16
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Common recurrences 17
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Common recurrences 18
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FASTER MIN-CUT ALGORITHM 19
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Revisiting algorithm for min-cut 20 We shall modify this algorithm to improve its success probability. But we shall not allow any significant blow up in the running time.
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Algorithm for min-cut 21
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Key observations about Min-Cut algorithm 22 recursively
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Revised algorithm for min-cut 23
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Faster algorithm for min-cut 24
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Solving the recurrence 26
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Solving the recurrence 27
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Solving the recurrence 28
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Solving the recurrence 29 proof
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This lecture introduced many concepts which can be used for design and analysis of efficient randomized algorithms. Try to reflect upon these concept… 30
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