Part II Approximation Algorithms

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Date: 2011-02-08 14:10:43 Operations research Mathematical optimization Combinatorial optimization NP-complete problems Knapsack problem Polynomial-time approximation scheme Dynamic programming Approximation algorithm Algorithm Theoretical computer science Computational complexity theory Applied mathematics		Part II Approximation Algorithms Add to Reading List Source URL: www2.informatik.hu-berlin.de Download Document from Source Website File Size: 229,98 KB Share Document on Facebook

	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