Download or read book Approximation Algorithms for Problems in Sequencing Scheduling and Communication Network Design written by David Bernard Shmoys and published by . This book was released on 1984 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Approximation Algorithms and Metaheuristics written by Teofilo F. Gonzalez and published by CRC Press. This book was released on 2007-05-15 with total page 1434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics. Starting with basic approaches, the handbook presents the methodologies to design and analyze efficient approximation algorithms for a large class of problems, and to establish inapproximability results for another class of problems. It also discusses local search, neural networks, and metaheuristics, as well as multiobjective problems, sensitivity analysis, and stability. After laying this foundation, the book applies the methodologies to classical problems in combinatorial optimization, computational geometry, and graph problems. In addition, it explores large-scale and emerging applications in networks, bioinformatics, VLSI, game theory, and data analysis. Undoubtedly sparking further developments in the field, this handbook provides the essential techniques to apply approximation algorithms and metaheuristics to a wide range of problems in computer science, operations research, computer engineering, and economics. Armed with this information, researchers can design and analyze efficient algorithms to generate near-optimal solutions for a wide range of computational intractable problems.

Download or read book Approximation Algorithms for Network Design and Partitioning Problems written by and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop new approximation algorithms for three graph-theoretic optimization problems. Two of these problems arise in communication networks and the third comes up in the context of classification and labeling. Below we describe these problems and present an overview of our main results. Information Network Design: We develop a model for information networks with a cost structure that captures savings obtained by redundant-data elimination. This model presents an expressive and algorithmically interesting framework as it allows us to represent information flow and still maintain the tractable nature of classical network-design. We consider two problems within this framework and develop algorithms that achieve logarithmic and constant-factor approximation for them. Multi-Route Cuts: A fundamental problem in combinatorial optimization is to find a low-cost cut which disconnects the underlying graph. A natural generalization of finding small cuts is the multi-route cut problem where the goal is to determine a low-cost set of edges or nodes whose removal reduces the connectivity of the graph to below a certain threshold. This problem arises in the context of reliability of service in networks. We provide the first non-trivial approximations for variants of the problem. When the connectivity thresholds are either two or infinity, we obtain polylogarithmic approximations to cost. For arbitrary thresholds, we develop bicriteria approximation algorithms; in particular, we obtain approximations to cost while ensuring that the connectivity drops below a constant times the threshold. Packing Multiway Cuts: Problems involving classification and labeling of interconnected objects arise in many contexts such as machine learning and computational biology. An important class of labeling problems reduces to packing cuts in a graph where the goal is to determine nearly-disjoint cuts that satisfy containment constraints. We develop constant-factor approximation algorithms for the multiway cut packing problem; where, given a collection of subsets of vertices, the objective is to produce separating cuts (one for each subset) that are as edge disjoint as possible.

Download or read book The Design of Approximation Algorithms written by David P. Williamson and published by Cambridge University Press. This book was released on 2011-04-26 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, facility location, and network design; to computer science problems in databases; to advertising issues in viral marketing. Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. 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 part of the book is devoted to a single algorithmic technique, which is then applied to several different problems. The second part revisits the techniques but offers more sophisticated treatments of them. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems.

Download or read book Approximation Algorithms for Network Design Problems written by Adam W. Meyerson and published by . This book was released on 2002 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Approximation Algorithms for Network Design Problems written by Anna Schulze and published by . This book was released on 2008 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Integer Programming and Related Areas A Classified Bibliography 1976 1978 written by D. Hausmann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the Eighteenth Annual ACM SIAM Symposium on Discrete Algorithms written by Hal Gabow and published by Society for Industrial & Applied. This book was released on 2007 with total page 1317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete mathematics and graph theory, including combinatorics, combinatorial optimization and networks Preface Acknowledgments Region-Fault Tolerant Geometric Spanners, M. A. Abam, M. de Berg, M. Farshi, and J. Gudmundsson A PTAS for TSP with Neighborhoods among Fat Regions in the Plane, Joseph S. B. Mitchell Optimal Dynamic Vertical Ray Shooting in Rectilinear Planar Subdivisions, Yoav Giyora and Haim Kaplan Squarepants in a Tree: Sum of Subtree Clustering and Hyperbolic Pants Decomposition, David Eppstein A Near Linear Time Constant Factor Approximation for Euclidean Bichromatic Matching (Cost), Piotr Indyk Compacting Cuts: A New Linear Formulation for Minimum Cut, Robert D. Carr, Goran Konjevod, Greg Little, Venkatesh Natarajan, and Ojas Parekh Linear Programming Relaxations of Maxcut, Wenceslas Fernandez de la Vega and Claire Kenyon-Mathieu Near-Optimal Algorithms for Maximum Constraint Satisfaction Problems, Moses Charikar, Konstantin Makarychev, and Yury Makarychev Improved Bounds for the Symmetric Rendezvous Value on the Line, Qiaoming Han, Donglei Du, Juan Vera, and Luis F. Zuluaga Efficient Solutions to Relaxations of Combinatorial Problems with Submodular Penalties via the Lovász Extension and Non-smooth Convex Optimization, Fabián A. Chudak and Kiyohito Nagano Multiple Source Shortest Paths in a Genus g Graph, Sergio Cabello and Erin W. Chambers Obnoxious Centers in Graphs, Sergio Cabello and Günter Rote Maximum Matching in Graphs with an Excluded Minor, Raphael Yuster and Uri Zwick Faster Dynamic Matchings and Vertex Connectivity, Piotr Sankowski Efficient Algorithms for Computing All Low s-t Edge Connectivities and Related Problems, Ramesh Hariharan, Telikepalli Kavitha, and Debmalya Panigrahi Analytic Combinatorics—A Calculus of Discrete Structures, Philippe Flajolet Equilibria in Online Games,Roee Engelberg and Joseph (Seffi) Naor The Approximation Complexity of Win-Lose Games, Xi Chen, Shang-Hua Teng, and Paul Valiant Convergence to Approximate Nash Equilibria in Congestion Games, Steve Chien and Alistair Sinclair Efficient Contention Resolution Protocols for Selfish Agents, Amos Fiat, Yishay Mansour, and Uri Nadav Strong Price of Anarchy,Nir Andelman, Michal Feldman, and Yishay Mansour Better Online Buffer Management , Fei Li, Jay Sethuraman, and Clifford Stein Considering Suppressed Packets Improves Buffer Management in QoS Switches, Matthias Englert and Matthias Westermann Instability of FIFO in the Permanent Sessions Model at Arbitrarily Small Network Loads, Matthew Andrews On the Separation and Equivalence of Paging Strategies,Spyros Angelopoulos, Reza Dorrigiv, and Alejandro López-Ortiz Pull-Based Data Broadcast with Dependencies: Be Fair to Users, Not to Items,Julien Robert and Nicolas Schabanel Improved Bounds for the Online Steiner Tree Problem in Graphs of Bounded Edge-Asymmetry, Spyros Angelopoulos Minimizing Movement, Erik D. Demaine, MohammadTaghi Hajiaghayi, Hamid Mahini, Amin S. Sayedi-Roshkhar, Shayan Oveisgharan, and Morteza Zadimoghaddam Optimization Problems in Multiple-Interval Graphs, Ayelet Butman, Danny Hermelin, Moshe Lewenstein, and Dror Rawitz Approximation Algorithms via Contraction Decomposition, Erik D. Demaine, MohammadTaghi Hajiaghayi, and Bojan Mohar A 1.875–Approximation Algorithm for the Stable Marriage Problem, Kazuo Iwama, Shuichi Miyazaki, and Naoya Yamauchi Improved Algorithms for Path, Matching, and Packing Problems, Jianer Chen, Songjian Lu, Sing-Hoi Sze, and Fenghui Zhang Model-Driven Optimization Using Adaptive Probes, Sudipto Guha and Kamesh Munagala Estimating the Sortedness of a Data Stream, Parikshit Gopalan, T.S. Jayram, Robert Krauthgamer, and Ravi Kumar A Near-Optimal Algorithm for Computing the Entropy of a Stream, Amit Chakrabarti, Graham Cormode, and Andrew McGregor The Communication and Streaming Complexity of Computing the Longest Common and Increasing Subsequences, Xiaoming Sun and David P. Woodruff Efficient Aggregation Algorithms for Probabilistic Data, T.S. Jayram, Satyen Kale, and Erik Vee An Unbiased Pointing Operator for Unlabeled Structures, with Applications to Counting and Sampling, Manuel Bodirsky, Eric Fusy, Mihyun Kang, and Stefan Vigerske Approximating Entropy from Sublinear Samples, Mickey Brautbar and Alex Samorodnitsky Torpid Mixing of Local Markov Chains on 3-Colorings of the Discrete Torus, David Galvin and Dana Randall Probabilistic Analysis of Linear Programming Decoding, Constantinos Daskalakis, Alexandros G. Dimakis, Richard M. Karp, and Martin J. Wainwright Scrambling Adversarial Errors Using Few Random Bits, Optimal Information Reconciliation, and Better Private Codes, Adam Smith Deterministic Pivoting Algorithms for Constrained Ranking and Clustering Problems, Anke van Zuylen, Rajneesh Hegde, Kamal Jain, and David P. Williamson Aggregation of Partial Rankings, p-Ratings and Top-m Lists, Nir Ailon Algorithms and Incentives for Robust Ranking, Rajat Bhattacharjee and Ashish Goel Matroids, Secretary Problems, and Online Mechanisms, Moshe Babaioff, Nicole Immorlica, and Robert Kleinberg An Algebraic Algorithm for Weighted Linear Matroid Intersection, Nicholas J. A. Harvey An Elementary Construction of Constant-Degree Expanders, Noga Alon, Oded Schwartz, and Asaf Shapira The k-Orientability Thresholds for G_{n,p}, Daniel Fernholz and Vijaya Ramachandran The Random Graph Threshold for k-Orientiability and a Fast Algorithm for Optimal Multiple-Choice Allocation, Julie Anne Cain, Peter Sanders, and Nick Wormald On Extremal Subgraphs of Random Graphs, Graham Brightwell, Konstantinos Panagiotou, and Angelika Steger Online Vertex Colorings of Random Graphs without Monochromatic Subgraphs, Martin Marciniszyn and Reto Spöhel On Testable Properties in Bounded Degree Graphs, Artur Czumaj and Christian Sohler Embedding Metrics into Ultrametrics and Graphs into Spanning Trees with Constant Average Distortion, Ittai Abraham, Yair Bartal, and Ofer Neiman Approximation Algorithms for Embedding General Metrics into Trees, Mihai Badoiu, Piotr Indyk, and Anastasios Sidiropoulos Embedding into $l^2_{infty}$ Is Easy, Embedding into $l^3_{infty}$ Is NP-Complete, Jeff Edmonds Efficient Subspace Approximation Algorithms, Nariankadu D. Shyamalkumar and Kasturi Varadarajan A Divide and Conquer Algorithm for d-Dimensional Arrangement, Moses Charikar, Konstantin Makarychev, and Yury Makarychev Resilient Search Trees, Irene Finocchi, Fabrizio Grandoni, and Giuseppe F. Italiano Randomization Does Not Help Searching Predecessors, Mihai Patrascu and Mikkel Thorup Dynamic Weighted Ancestors, Tsvi Kopelowitz and Moshe Lewenstein Ultra-succinct Representation of Ordered Trees, Jesper Jansson, Kunihiko Sadakane, and Wing-Kin Sung Tree Exploration with Logarithmic Memory, Leszek Gasieniec, Andrzej Pelc, Tomasz Radzik, and Xiaohui Zhang Testing for a Theta, Maria Chudnovsky and Paul Seymour Deterministic Rendezvous, Treasure Hunts and Strongly Universal Exploration Sequences, Amnon Ta-Shma and Uri Zwick Planar Graphs Are in 1-STRING, J. Chalopin, D. Gonçalves, and P. Ochem On the Bandwidth Conjecture for 3-Colourable Graphs, Julia Böttcher, Mathias Schacht, and Anusch Taraz Sandpile Transience on the Grid is Polynomially Bounded, László Babai and Igor Gorodezky Digraph Measures: Kelly Decompositions, Games, and Orderings, Paul Hunter and Stephan Kreutzer Approximating the Spanning Star Forest Problem and Its Applications to Genomic Sequence Alignment, C. Thach Nguyen, Jian Shen, Minmei Hou, Li Sheng, Webb Miller, and Louxin Zhang Fast Elimination of Redundant Linear Equations and Reconstruction of Recombination-Free Mendelian Inheritance on a Pedigree, Jing Xiao, Lan Liu, Lirong Xia, and Tao Jiang Whole Genome Duplications, Multi-break Rearrangements, and Genome Halving Problem, Max A. Alekseyev and Pavel A. Pevzner Succinct Indexes for Strings, Binary Relations and Multi-labeled Trees, Jérémy Barbay, Meng He, J. Ian Munro, and S. Srinivasa Rao A Simple Storage Scheme for Strings Achieving Entropy Bounds, Paolo Ferragina and Rossano Venturini A Network Formation Game for Bipartite Exchange Economies, Eyal Even-Dar, Michael Kerans, and Siddharth Suri Cheap Labor Can Be Expensive, Ning Chen and Anna R. Karlin Buying Cheap Is Expensive: Hardness of Non-parametric Multi-product Pricing, Patrick Briest and Piotr Krysta Dynamic Pricing for Impatient Bidders, Nikhil Bansal, Ning Chen, Neva Cherniavsky, Atri Rudra, Baruch Schieber, and Maxim Sviridenko Designing and Learning Optimal Finite Support Auctions, Edith Elkind On Bregman Voronoi Diagrams, Frank Nielsen, Jean-Daniel Boissonnat, and Richard Nock Zone Diagrams: Existence, Uniqueness, and Algorithmic Challenge, Tetsuo Asano, Jirí Matoušek, and Takeshi Tokuyama Approximate Shortest Paths in Anisotropic Regions, Siu-Wing Cheng, Hyeon-Suk Na, Antoine Vigneron, and Yajun Wang On Bounded Leg Shortest Paths Problems, Liam Roditty and Michael Segal Counting Colors in Boxes, Haim Kaplan, Natan Rubin, Micha Sharir, and Elad Verbin Energy Efficient Online Deadline Scheduling, Ho-Leung Chan, Wun-Tat Chan, Tak-Wah Lam, Lap-Kei Lee, Kin-Sum Mak, and Prudence W. H. Wong Speed Scaling for Weighted Flow Time, Nikhil Bansal, Kirk Pruhs, and Cliff Stein Path-Independent Load Balancing with Unreliable Machines, James Aspnes, Yang Richard Yang, and Yitong Yin Layered Multicast Scheduling for the L_infinity Objective, Qingbo Cai and Vincenzo Liberatore Lower Bounds on Average-Case Delay for Video-on-Demand Broadcast Protocols, Wei-Lung Dustin Tseng and David Kirkpatrick Maximum s-t-Flow with k Crossings in $O(k^3 n log n)$ Time, Jan M. Hochstein and Karsten Weihe Matrix Scaling by Network Flow, Günter Rote and Martin Zachariasen Single Source Multiroute Flows and Cuts on Uniform Capacity Networks, Henning Bruhn, Jakub Cerný, Alexander Hall, and Petr Kolman Island Hopping and Path Colouring with Applications to WDM Network Design, Andrew McGregor and Bruce Shepherd Maximum Independent Sets in Graphs of Low Degree,

Download or read book Algorithms ESA 2015 written by Nikhil Bansal and published by Springer. This book was released on 2015-09-01 with total page 1075 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 23rd Annual European Symposium on Algorithms, ESA 2015, held in Patras, Greece, in September 2015, as part of ALGO 2015. The 86 revised full papers presented together with two invited lectures were carefully reviewed and selected from 320 initial submissions: 71 out of 261 in Track A, Design and Analysis, and 15 out of 59 in Track B, Engineering and Applications. The papers present real-world applications, engineering, and experimental analysis of algorithms.

Download or read book American Doctoral Dissertations written by and published by . This book was released on 2002 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Scheduling and Flow related Problems in Networks written by Alexander Hall and published by VDM Publishing. This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently the number of applications in the Internet which use data broad-casts, such as pay-per-view services, has increased greatly. In broadcast scheduling one is interested in answering user requests in such services with as little bandwidth as possible by bundling the answers appropriately. Flows over time are an important notion arising in connection with various appli-cations in communication and transportation networks. One of the basic question here is how can demands in a given network be routed to their destinations as quickly as possible? Economic relationships in the Internet are of great interest, e.g., when investigating robustness issues. Since they are treated as trade secrets, it is a challenge to infer them form samples of routes taken by packets in the Internet. The author Alexander Hall gives intro-ductions and several novel results for these three problem areas. Some of the main results resolve the complexity of the major optimization problems encountered in the three areas. Thereby, important and in some cases long-standing open questions have been answered. From an algorithmic point of view, optimal and approximation algorithms for each of the three areas are proposed. This book is of interest to scientists in academia and industry working on research problems pertaining to communication and transportation net-works.

Download or read book Research in Progress written by and published by . This book was released on 1978 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of combinatorial optimization written by Dingzhu Du and published by Springer Science & Business Media. This book was released on 1998-12-15 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics)."

Download or read book Handbook of Combinatorial Optimization written by Ding-Zhu Du and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 2410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics).

Download or read book Approximation Algorithms for Network Design Problems written by Vardges Melkonian and published by . This book was released on 2002 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Complexity and Approximation written by Giorgio Ausiello and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book documents the state of the art in combinatorial optimization, presenting approximate solutions of virtually all relevant classes of NP-hard optimization problems. The wealth of problems, algorithms, results, and techniques make it an indispensible source of reference for professionals. The text smoothly integrates numerous illustrations, examples, and exercises.

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2007 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt: