'Complementary slackness conditions' presentation slideshows

Linear Programming-Based Approximation Algorithms

Linear Programming-Based Approximation Algorithms. Shoshana Neuburger Graduate Center, CUNY May 13, 2009. Linear Programming (LP). Given: m linear inequality constraints n Non-negative, real-valued variables Linear objective function Goal:

635 views • 56 slides

Chapter 9. Interior Point Methods

Chapter 9. Interior Point Methods. Three major variants Affine scaling algorithm - easy concept, good performance Potential reduction algorithm - poly time Path following algorithm - poly time, good performance, theoretically elegant . 9.4 The primal path following algorithm.

579 views • 22 slides

Fast and accurate energy minimization for static or time-varying Markov Random Fields (MRFs)

Fast and accurate energy minimization for static or time-varying Markov Random Fields (MRFs). Nikos Komodakis (Ecole Centrale Paris) Nikos Paragios (Ecole Centrale Paris) Georgios Tziritas (University of Crete). vertices G = set of objects. edges E = object relationships.

296 views • 21 slides

C&O 355 Mathematical Programming Fall 2010 Lecture 22

316 views • 20 slides

Fast, Approximately Optimal Solutions for Single and Dynamic Markov Random Fields (MRFs)

Fast, Approximately Optimal Solutions for Single and Dynamic Markov Random Fields (MRFs). Nikos Komodakis (Ecole Centrale Paris) Georgios Tziritas (University of Crete) Nikos Paragios (Ecole Centrale Paris). vertices G = set of objects. edges E = object relationships.

287 views • 20 slides