'Deterministic algorithm' presentation slideshows

Raghu Meka Oberwolfach , Nov 2012

698 views • 57 slides

Estimating the Sortedness of a Data Stream

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Instructor: Shengyu Zhang

CSC3160: Design and Analysis of Algorithms. Week 13: Online Algorithms. Instructor: Shengyu Zhang. Offline algorithms. Almost all algorithms we encountered in this course assume that the entire input is given all at once. An exception: Secretary problem. The input is given gradually.

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NP-Complete Problems

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Fall 2013 CMU CS 15-855 Computational Complexity

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Randomized

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CMPUT 671 Hard Problems

CMPUT 671 Hard Problems. Winter 2002 Joseph Culberson Home Page. What are you doing?. What are you doing?. What am I doing?. What is Hard?. Problems and Complexity P, NP, PSPACE; between and beyond Worst case, Randomized, Average case. What are you doing?. What am I doing?.

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NP-Complete Problems

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NP-Complete Problems

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Hybrid Approach to System-Level Performance Analysis

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A Tight Bound on Approximating Arbitrary Metrics by Tree Metrics

A Tight Bound on Approximating Arbitrary Metrics by Tree Metrics. J. Fakcharoenphol, S. Rao and K. Talwar Presented By Noam Arkind and Liah Kor. Paper Result. Any n-point metric space can be probabilistically embedded into a distribution of Tree metrics with distortion. Outline.

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Deterministic Discrepancy Minimization

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Stochastic Differential Equations SDE

Stochastic Differential Equations SDE. Peyman Givi Department of Mechanical Engineering and Mater ials Science University of Pittsburgh October, 2009. Objective. To predict and understand of Stochastic Process, or sometimes Random Process. Numerical solution . Random Process:.

1.11k views • 17 slides

An efficient parameterized algorithm for m-set packing

An efficient parameterized algorithm for m-set packing. Weijia Jia, Chuanlin Zhang, and Jianer Chen Journal of Algorithms 50 (2004) 106-117. Presenter: Yung-Hsing Peng Date: 2005.08.05. Abstract. Set Packing Problem. Input Description: A set of subsets C = S1, ..., Sn

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Outline

Optimal Online Algorithms for Minimax Resource Scheduling Imen BOURGUIBA CAS 744 McMaster University. Outline. Introduction Objectives The ORMP problem The HLBP problem Comparison Problem definition Analysis Randomized algorithms Conclusion. Introduction.

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LEACH Protocol for Wireless Sensory Networks

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Algorithm for bending structure of Myxobacteria Nan Chen and Yilin Wu

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Linear Programming

Linear Programming. Overview Formulation of the problem and example I ncremental, deterministic algorithm Randomized algorithm Unbounded linear programs Linear programming in higher dimensions. Algorithm 2D-LP. Input: A 2-Dimensional Linear Program (H, c )

302 views • 10 slides

Linear Programming

Linear Programming. Overview Formulation of the problem and example I ncremental, deterministic algorithm Randomized algorithm Unbounded linear programs Linear programming in higher dimensions.

190 views • 8 slides

181 views • 7 slides