02213nam a22003138i 4500001001600000003000700016008004100023020001800064020001800082035002000100041000800120082001500128100003400143245009400177264007100271300003800342336002600380337002600406338003600432500001300468520112800481650002601609650003101635700003501666856005501701932003201756596000601788949010501794CR9780511921735UkCbUP100927s2011||||enk o ||1 0|eng|d a9780511921735 a9780521195270 a(Sirsi) a792044 aeng00a518/.52221 aWilliamson, David P.,eauthor14aThe design of approximation algorithmsh[E-Book] /cDavid P. Williamson, David B. Shmoys. 1aCambridge :bCambridge University Press,c2011e(CUP)fCUP20200108 a1 online resource (xi, 504 pages) atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier aenglisch aDiscrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. 0aApproximation theory. 0aMathematical optimization.1 aShmoys, David Bernard,eauthor40uhttps://doi.org/10.1017/CBO9780511921735zVolltext aCambridgeCore (Order 30059) a1 aXX(792044.1)wAUTOc1i792044-1001lELECTRONICmZBrNsYtE-BOOKu8/1/2020xUNKNOWNzUNKNOWN1ONLINE