'Weighted interval scheduling problem' diaporamas de présentation

Weighted interval scheduling problem - PowerPoint PPT Presentation

Algorithmic Paradigms

Algorithmic Paradigms

Algorithmic Paradigms. Greed. Build up a solution incrementally, myopically optimizing some local criterion. Divide-and-conquer. Break up a problem into two sub-problems, solve each sub-problem independently, and combine solution to sub-problems to form solution to original problem.

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Prof. Swarat Chaudhuri

Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2012 Lecture 15. Q0: Force calculations. You are working with some physicists who are studying the electrical forces that a set of particles exert on each other.

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333 views • 24 slides
Prof. Swarat Chaudhuri

Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2012 Lecture 15. Q0: Force calculations. You are working with some physicists who are studying the electrical forces that a set of particles exert on each other.

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246 views • 24 slides
More On Dynamic programming Algorithms Shortest path with edge constraint:

More On Dynamic programming Algorithms Shortest path with edge constraint:

More On Dynamic programming Algorithms Shortest path with edge constraint: Let G=(V, E) be a directed graph with weighted edges. Let s and v be two vertices in V . Find a shortest path from s to u with exactly k edges. Here k?n-1 is part of the input. Solution:

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485 views • 21 slides
Prof. Swarat Chaudhuri

Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2013 Lecture 14. Q1: GCD. Give a divide-and-conquer algorithm for computing the GCD of two n-bit positive integers. Answer. GCD(a,b) = 2 GCD(a/2, b/2) if a,b are even

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