<--- Back to Details
First PageDocument Content
NP-complete problems / Combinatorial optimization / Operations research / Approximation algorithms / Linear programming relaxation / Generalized assignment problem / APX / Knapsack problem / Dominating set / Theoretical computer science / Computational complexity theory / Applied mathematics
Date: 2005-12-20 11:13:05
NP-complete problems
Combinatorial optimization
Operations research
Approximation algorithms
Linear programming relaxation
Generalized assignment problem
APX
Knapsack problem
Dominating set
Theoretical computer science
Computational complexity theory
Applied mathematics

Add to Reading List

Source URL: www-math.mit.edu

Download Document from Source Website

File Size: 182,41 KB

Share Document on Facebook

Similar Documents

Mathematics / Applied mathematics / Statistical randomness / Theoretical computer science / Packing problems / Dynamic programming / Machine learning algorithms / Machine learning / Reinforcement learning / Bin packing problem / Artificial neural network / Algorithm

arXiv:1807.01672v2 [cs.LG] 6 JulRanked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization Alexandre Laterre

DocID: 1xTSz - View Document

APPROX 2012 and RANDOM 2012 15th Intl. Workshop on Approx. Algorithms for Combinatorial Optimization Problems - APPROX 2012 & 16th Intl. Workshop on Randomization and Computation - RANDOM 2012 http://cui.unige.ch/tcs/ran

DocID: 1vegv - View Document

⋆ Combinatorial Optimization (Oberwolfach, November 9–15, Discrete DC Programming by Discrete Convex Analysis —Use of Conjugacy— Kazuo Murota (U. Tokyo)

DocID: 1uRbH - View Document

Research Summary∗ Chandra Nair Overview In my early research career I considered random versions of combinatorial optimization problems; my doctoral thesis [17] resolved a long-standing conjecture about the assignment

DocID: 1uvqi - View Document

In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design

DocID: 1u55o - View Document