<--- Back to Details
First PageDocument Content
Operations research / NP-complete problems / Combinatorial optimization / Dynamic programming / Knapsack problem / Bin packing problem / Polynomial-time approximation scheme / Approximation algorithm / Linear programming relaxation / Theoretical computer science / Computational complexity theory / Applied mathematics
Date: 2009-02-06 16:43:24
Operations research
NP-complete problems
Combinatorial optimization
Dynamic programming
Knapsack problem
Bin packing problem
Polynomial-time approximation scheme
Approximation algorithm
Linear programming relaxation
Theoretical computer science
Computational complexity theory
Applied mathematics

CS 598CSC: Approximation Algorithms Instructor: Chandra Chekuri

Add to Reading List

Source URL: courses.engr.illinois.edu

Download Document from Source Website

File Size: 112,61 KB

Share Document on Facebook

Similar Documents

Mathematics / Computational complexity theory / Algebra / NP-complete problems / Analysis of algorithms / Set cover problem / Bin packing problem / Linear programming relaxation / Vertex cover / Ring / Exponentiation / Big O notation

Set Covering with Ordered Replacement: Additive and Multiplicative Gaps Friedrich Eisenbrand1 , Naonori Kakimura?2 , Thomas Rothvoß??1 , and Laura Sanità? ? ?1 1

DocID: 1rlHb - View Document

Graphical models / Mathematical analysis / Mathematics / Probability / Mathematical optimization / Operations research / Linear programming / Probability theory / Markov random field / Linear programming relaxation / Relaxation / Bayesian network

Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland

DocID: 1rhNI - View Document

Graphical models / Mathematics / Mathematical analysis / Probability / Mathematical optimization / Combinatorial optimization / Linear programming / Operations research / Markov random field / Linear programming relaxation / Relaxation / Randomized rounding

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees Stephen H. Bach University of Maryland

DocID: 1r1cx - View Document

Mathematical optimization / Operations research / Mathematics / Numerical analysis / Combinatorial optimization / Linear programming / Convex optimization / Automatic label placement / Algorithm / Integer programming / Relaxation / AMPL

PRACTICAL EXPERIENCE WITH A MAP LABEL PLACEMENT PROGRAM Steven Zoraster Stephen Bayer ZYCOR, Inc. 220 Foremost Austin, Texas 78745

DocID: 1qZeR - View Document

Mathematical optimization / Convex optimization / Operations research / Mathematical analysis / Linear programming / Ellipsoid method / Relaxation / Duality

CS261: Exercise Set #5 For the week of February 1–5, 2016 Instructions: (1) Do not turn anything in. (2) The course staff is happy to discuss the solutions of these exercises with you in office hours or on Piazza.

DocID: 1qXY7 - View Document