Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
Editat de Chandra Chekuri, Klaus Jansen, José D. P. Rolim, Luca Trevisanen Limba Engleză Paperback – 8 aug 2005
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Specificații
ISBN-13: 9783540282396
ISBN-10: 3540282394
Pagini: 512
Ilustrații: XI, 495 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 kg
Ediția:2005
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540282394
Pagini: 512
Ilustrații: XI, 495 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 kg
Ediția:2005
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Contributed Talks of APPROX.- The Network as a Storage Device: Dynamic Routing with Bounded Buffers.- Rounding Two and Three Dimensional Solutions of the SDP Relaxation of MAX CUT.- What Would Edmonds Do? Augmenting Paths and Witnesses for Degree-Bounded MSTs.- A Rounding Algorithm for Approximating Minimum Manhattan Networks.- Packing Element-Disjoint Steiner Trees.- Approximating the Bandwidth of Caterpillars.- Where’s the Winner? Max-Finding and Sorting with Metric Costs.- What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization.- The Complexity of Making Unique Choices: Approximating 1-in-k SAT.- Approximating the Distortion.- Approximating the Best-Fit Tree Under L p Norms.- Beating a Random Assignment.- Scheduling on Unrelated Machines Under Tree-Like Precedence Constraints.- Approximation Algorithms for Network Design and Facility Location with Service Capacities.- Finding Graph Matchings in Data Streams.- A Primal-Dual Approximation Algorithm for Partial Vertex Cover: Making Educated Guesses.- Efficient Approximation of Convex Recolorings.- Approximation Algorithms for Requirement Cut on Graphs.- Approximation Schemes for Node-Weighted Geometric Steiner Tree Problems.- Towards Optimal Integrality Gaps for Hypergraph Vertex Cover in the Lovász-Schrijver Hierarchy.- Contributed Talks of RANDOM.- Bounds for Error Reduction with Few Quantum Queries.- Sampling Bounds for Stochastic Optimization.- An Improved Analysis of Mergers.- Finding a Maximum Independent Set in a Sparse Random Graph.- On the Error Parameter of Dispersers.- Tolerant Locally Testable Codes.- A Lower Bound on List Size for List Decoding.- A Lower Bound for Distribution-Free Monotonicity Testing.- On Learning Random DNF Formulas Under the Uniform Distribution.-Derandomized Constructions of k-Wise (Almost) Independent Permutations.- Testing Periodicity.- The Parity Problem in the Presence of Noise, Decoding Random Linear Codes, and the Subset Sum Problem.- The Online Clique Avoidance Game on Random Graphs.- A Generating Function Method for the Average-Case Analysis of DPLL.- A Continuous-Discontinuous Second-Order Transition in the Satisfiability of Random Horn-SAT Formulas.- Mixing Points on a Circle.- Derandomized Squaring of Graphs.- Tight Bounds for String Reconstruction Using Substring Queries.- Reconstructive Dispersers and Hitting Set Generators.- The Tensor Product of Two Codes Is Not Necessarily Robustly Testable.- Fractional Decompositions of Dense Hypergraphs.
Caracteristici
Includes supplementary material: sn.pub/extras