'Approximation algorithms' diaporamas de présentation

11/14/2003 10:00AM

11/14/2003 10:00AM. Valentin Polishchuk Preliminary Examination Geometric Motion Planning Problems with Applications Adviser: Professor Joseph Mitchell. Research Directions. Motion Planning Problems Geometric Algorithms for Air Traffic Management. Motion Planning Problems.

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Algorithms Design and its Applications

Algorithms Design and its Applications. Introduction. Something about me. ??? Home Page: http://sist.sysu.edu.cn/~isslxm Email: isslxm@mail.sysu.edu.cn Office: ????? 526B. Something about this course. Course homepage: http://sist.sysu.edu.cn/~isslxm/ada/cs2013/index.html

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Lecture 5: Constraint Satisfaction Problems

Lecture 5: Constraint Satisfaction Problems. ICS 271 Fall 2006. Outline. The constraint network model Variables, domains, constraints, constraint graph, solutions Examples: graph-coloring, 8-queen, cryptarithmetic, crossword puzzles, vision problems,scheduling, design

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Approximating NP-hard Problems Efficient Algorithms and their Limits

Approximating NP-hard Problems Efficient Algorithms and their Limits. Prasad Raghavendra University of Washington Seattle. Combinatorial Optimization Problems. Set Cover. Max 3 SAT Find an assignment that satisfies the maximum number of clauses. Steiner Tree. MultiCut. Vertex Cover .

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Design and Analysis of Approximation Algorithms

Design and Analysis of Approximation Algorithms. Ding-Zhu Du. Text Books. Ding-Zhu Du and Ker-I Ko, Design and Analysis of Approximation Algorithms (Lecture Notes). Chapters 1-8. Schedule. Introduction Greedy Strategy Restriction Partition Guillotine Cut Relaxation

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Zhixiang Chen University of Texas Pan American Bin Fu University of Texas Pan American

Linear Time Probabilistic Algorithms for the Singular Haplotype Reconstruction Problem from SNP Fragments. Zhixiang Chen University of Texas Pan American Bin Fu University of Texas Pan American Robert Schweller University of Texas Pan American Boting Yang University of Regina

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Lectures on NP-hard problems and Approximation algorithms

Lectures on NP-hard problems and Approximation algorithms. COMP 523: Advanced Algorithmic Techniques Lecturer: Dariusz Kowalski. Overview. Previous lectures: Greedy algorithms Dynamic programming Network flows These lectures: NP-hard problems Approximation algorithms. P versus NP.

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Computational Geometry with imprecise data

Computational Geometry with imprecise data. Bob Fraser University of Manitoba fraser@cs.umanitoba.ca Ljubljana, Slovenia Oct. 29, 2013. Brief Bio Minimum Spanning Trees on Imprecise Data Other Research Interests * Approximation algorithms using disks*. Biography. Winnipeg. Vancouver.

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Primal Dual Method

Primal Dual Method. found x, succeed!. primal. dual. restricted primal. restricted dual. Lecture 20: March 28. y. z. Construct a better dual. Primal Dual Program. Primal Program. Dual Program. If there is a feasible primal solution x and a feasible dual solution y,

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Approximation Algorithms for MAX-MIN tiling

Approximation Algorithms for MAX-MIN tiling. Authors Piotr Berman, Bhaskar DasGupta, S. Muthukrishman Published on Journal of Algorithms, 2003 Presented by Sera Kahruman. Outline. Definition Approximation algorithms Greedy Slice and Dice

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Steiner trees

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CRESCCO Project IST-2001-33135

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Introduction to Approximation Algorithms

Introduction to Approximation Algorithms. NP-completeness. !. Do your best then. Coping With NP-Hardness. Brute-force algorithms. Develop clever enumeration strategies. Guaranteed to find optimal solution. No guarantees on running time. Heuristics. Develop intuitive algorithms.

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? -nets and applications

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Design and Analysis of Algorithms

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Pedocomputing: A Generalized Framework for Polynomial-Time Solution of NP Problems

Pedocomputing: A Generalized Framework for Polynomial-Time Solution of NP Problems. Gary Yngve. Alternative Computing Paradigms. Quantum computing DNA computing Necrocomputing. Pedocomputing. Solves NP problems in poly-time Adaptable to approximation algorithms

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Approximation Algorithms for Cycle Packing Problems Zeev Nutov The Open University of Israel Joint work with: Michael Krivilevich (Tel-Aviv Univ.) Raphael Yuster (Univ. of Haifa).

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UCB IEOR Department Research Activities

UCB IEOR Department Research Activities.

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CS 456 Advanced Algorithms

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