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Reducibility and NP-Completeness

Reducibility and NP-Completeness

Reducibility and NP-Completeness. Computational Complexity Theory. Computational Complexity Theory is the study of how much of a given resource (such as time, space, parallelism, algebraic operations, communication) is required to solve important problems. Classification of Problems.

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1.61k views • 100 slides
Reducibility and NP-Completeness

Reducibility and NP-Completeness

Reducibility and NP-Completeness. Computational Complexity Theory. Computational Complexity Theory is the study of how much of a given resource (such as time, space, parallelism, algebraic operations, communication) is required to solve important problems. Classification of Problems.

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1.23k views • 100 slides
Algorithm Design Patterns and Anti-Patterns

Algorithm Design Patterns and Anti-Patterns

Algorithm Design Patterns and Anti-Patterns. Algorithm design patterns. Ex. Greedy. O(n log n) interval scheduling. Divide-and-conquer. O(n log n) quicksort. Dynamic programming. O(n 2 ) edit distance. S earch. O(n!) Traveling salesman. Reductions. Approximate. Randomized.

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714 views • 48 slides
NP-COMPLETENESS

NP-COMPLETENESS

NP-COMPLETENESS. Yes. Probably no. Shortest path. Longest path. Matching. 3D-matching. Min cut. Max cut. 2-SAT. 3-SAT. Planar 4-color. Planar 3-color. Bipartite vertex cover. Vertex cover. Primality testing. Factoring. Classify Problems According to Computational Requirements.

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545 views • 42 slides
Prof. Swarat Chaudhuri

Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2013 Lecture 20. Recap: Project Selection. can be positive or negative. Projects with prerequisites. Set P of possible projects. Project v has associated revenue p v .

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408 views • 32 slides

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