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Relative Approximation Bounds For Np Complete Optimization Problems
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Book Synopsis Relative Approximation Bounds for NP-Complete Optimization Problems by :
Download or read book Relative Approximation Bounds for NP-Complete Optimization Problems written by and published by . This book was released on 1990 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: IDA Paper P-2347, Relative Approximation Bounds for NP-Complete Optimization Problems, documents a new method for determining lower bounds on the relative accuracy attainable for polynomial-time approximations to certain restricted types of NP-Complete optimization problems. These problems are the bounded optimizations, NP constrained optimizations, and optimizations. The initial tasking was to investigate up to three promising areas in Complexity Theory. The first area involved developing new separation results for Krentel's OptP classification of NP optimization problems. The second area was to examine the possible extension of Krentel's absolute error bounds for NP approximations to relative error bounds, while the third area involved examination of the EP theory of parallel algorithms by Kruskal, Randolph, and Snir. However, time did not permit investigation of the third area.
Book Synopsis Approximation Methods for Polynomial Optimization by : Zhening Li
Download or read book Approximation Methods for Polynomial Optimization written by Zhening Li and published by Springer Science & Business Media. This book was released on 2012-07-25 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications. This timely treatise will appeal to researchers and graduate students in the fields of optimization, computational mathematics, Operations Research, industrial engineering, and computer science.
Book Synopsis Approximation Algorithms for NP-hard Problems by : Dorit S. Hochbaum
Download or read book Approximation Algorithms for NP-hard Problems written by Dorit S. Hochbaum and published by Course Technology. This book was released on 1997 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to fully address the study of approximation algorithms as a tool for coping with intractable problems. With chapters contributed by leading researchers in the field, this book introduces unifying techniques in the analysis of approximation algorithms. APPROXIMATION ALGORITHMS FOR NP-HARD PROBLEMS is intended for computer scientists and operations researchers interested in specific algorithm implementations, as well as design tools for algorithms. Among the techniques discussed: the use of linear programming, primal-dual techniques in worst-case analysis, semidefinite programming, computational geometry techniques, randomized algorithms, average-case analysis, probabilistically checkable proofs and inapproximability, and the Markov Chain Monte Carlo method. The text includes a variety of pedagogical features: definitions, exercises, open problems, glossary of problems, index, and notes on how best to use the book.
Book Synopsis Complexity and Approximation by : Giorgio Ausiello
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.
Book Synopsis Mathematical Foundations of Computer Science 2004 by : Jirí Fiala
Download or read book Mathematical Foundations of Computer Science 2004 written by Jirí Fiala and published by Springer Science & Business Media. This book was released on 2004-08-09 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 29th Symposium on Mat- matical Foundations of Computer Science, MFCS 2004, held in Prague, Czech Republic, August 22–27, 2004. The conference was organized by the Institute for Theoretical Computer Science (ITI) and the Department of Theoretical Com- terScienceandMathematicalLogic(KTIML)oftheFacultyofMathematicsand Physics of Charles University in Prague. It was supported in part by the Eu- pean Association for Theoretical Computer Science (EATCS) and the European Research Consortium for Informatics and Mathematics (ERCIM). Traditionally, the MFCS symposia encourage high-quality research in all branches of theoretical computer science. Ranging in scope from automata, f- mal languages, data structures, algorithms and computational geometry to c- plexitytheory,modelsofcomputation,andapplicationsincludingcomputational biology, cryptography, security and arti?cial intelligence, the conference o?ers a unique opportunity to researchers from diverse areas to meet and present their results to a general audience. The scienti?c program of this year’s MFCS took place in the lecture halls of the recently reconstructed building of the Faculty of Mathematics and P- sics in the historical center of Prague, with the famous Prague Castle and other celebratedhistoricalmonumentsinsight.Theviewfromthewindowswasach- lengingcompetitionforthespeakersinthe?ghtfortheattentionoftheaudience. But we did not fear the result: Due to the unusually tough competition for this year’s MFCS, the admitted presentations certainly attracted considerable in- rest. The conference program (and the proceedings) consisted of 60 contributed papers selected by the Program Committee from a total of 167 submissions.
Book Synopsis Brooks' Theorem by : Michael Stiebitz
Download or read book Brooks' Theorem written by Michael Stiebitz and published by Springer Nature. This book was released on 2024 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brooks' Theorem (1941) is one of the most famous and fundamental theorems in graph theory -- it is mentioned/treated in all general monographs on graph theory. It has sparked research in several directions. This book presents a comprehensive overview of this development and see it in context. It describes results, both early and recent, and explains relations: the various proofs, the many extensions and similar results for other graph parameters. It serves as a valuable reference to a wealth of information, now scattered in journals, proceedings and dissertations. The reader gets easy access to this wealth of information in comprehensive form, including best known proofs of the results described. Each chapter ends in a note section with historical remarks, comments and further results. The book is also suitable for graduate courses in graph theory and includes exercises. The book is intended for readers wanting to dig deeper into graph coloring theory than what is possible in the existing book literature. There is a comprehensive list of references to original sources.
Book Synopsis Design and Analysis of Algorithms by : Parag H. Dave
Download or read book Design and Analysis of Algorithms written by Parag H. Dave and published by Pearson Education India. This book was released on 2007-09 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: "All aspects pertaining to algorithm design and algorithm analysis have been discussed over the chapters in this book-- Design and Analysis of Algorithms"--Resource description page.
Book Synopsis Logical Definability of NP Optimization Problems by : Phokion Gerasimos Kolaitis
Download or read book Logical Definability of NP Optimization Problems written by Phokion Gerasimos Kolaitis and published by . This book was released on 1990 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "We investigate here NP optimization problems from a logically definability standpoint. We show that the class of optimization problems whose optimum is definable using first-order formulae coincides with the class of polynomially bounded NP optimization problems on finite structures. After this, we analyze the relative expressive power of various classes of optimization problems that arise in this framework. Some of our results show that logical definability has different implications for NP maximization problems than it has for NP minimization problems, in terms of both expressive power and approximation properties."
Book Synopsis Algorithms and Theory of Computation Handbook, Volume 1 by : Mikhail J. Atallah
Download or read book Algorithms and Theory of Computation Handbook, Volume 1 written by Mikhail J. Atallah and published by CRC Press. This book was released on 2009-11-20 with total page 974 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and Theory of Computation Handbook, Second Edition: General Concepts and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. Along with updating and revising many
Book Synopsis Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques by : Dorit Hochbaum
Download or read book Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques written by Dorit Hochbaum and published by Springer. This book was released on 2004-04-22 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM'99, held jointly with the Second International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX'99, in Berkeley, California in August 1999. The volume presents 24 revised full papers selected from 44 submissions and four invited contributions. The papers present a wealth of new results and document the state-of-the-art in the areas covered by the workshop.
Book Synopsis Algorithms and Theory of Computation Handbook by : Mikhail J. Atallah
Download or read book Algorithms and Theory of Computation Handbook written by Mikhail J. Atallah and published by CRC Press. This book was released on 1998-11-23 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and Theory of Computation Handbook is a comprehensive collection of algorithms and data structures that also covers many theoretical issues. It offers a balanced perspective that reflects the needs of practitioners, including emphasis on applications within discussions on theoretical issues. Chapters include information on finite precision issues as well as discussion of specific algorithms where algorithmic techniques are of special importance, including graph drawing, robotics, forming a VLSI chip, vision and image processing, data compression, and cryptography. The book also presents some advanced topics in combinatorial optimization and parallel/distributed computing. • applications areas where algorithms and data structuring techniques are of special importance • graph drawing • robot algorithms • VLSI layout • vision and image processing algorithms • scheduling • electronic cash • data compression • dynamic graph algorithms • on-line algorithms • multidimensional data structures • cryptography • advanced topics in combinatorial optimization and parallel/distributed computing
Book Synopsis An Introduction to Robust Combinatorial Optimization by : Marc Goerigk
Download or read book An Introduction to Robust Combinatorial Optimization written by Marc Goerigk and published by Springer Nature. This book was released on with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms - ESA '94 by : Jan van Leeuwen
Download or read book Algorithms - ESA '94 written by Jan van Leeuwen and published by Springer Science & Business Media. This book was released on 1994-09-14 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together recent developments in Alzheimer's disease research with related discoveries in the field of cell biology. The book moves between basic cell biological concepts that form the underpinnings of modern Alzheimer's disease research, and current findings about proteins and cellular processes affected by the disease. Divided into three topics, the book addresses (1) protein trafficking, a problem that has become germane to the study of the amyloid precursor protein; (2) phosphorylation, a problem that underlies studies of the pathological transformation of tau to paired helical filaments; and (3) cell death, a pervasive problem in neurodegeneration.
Book Synopsis Optimization Problems and Their Applications by : Anton Eremeev
Download or read book Optimization Problems and Their Applications written by Anton Eremeev and published by Springer. This book was released on 2018-06-29 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes extended, revised and selected papers from the 7th International Conference on Optimization Problems and Their Applications, OPTA 2018, held in Omsk, Russia in July 2018. The 27 papers presented in this volume were carefully reviewed and selected from a total of 73 submissions. The papers are listed in thematic sections, namely location problems, scheduling and routing problems, optimization problems in data analysis, mathematical programming, game theory and economical applications, applied optimization problems and metaheuristics.
Book Synopsis Algorithmics for Hard Problems by : Juraj Hromkovič
Download or read book Algorithmics for Hard Problems written by Juraj Hromkovič and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the methods of designing algorithms for hard computing tasks, concentrating mainly on approximate, randomized, and heuristic algorithms, and on the theoretical and experimental comparison of these approaches according to the requirements of the practice. This is the first book to systematically explain and compare all the main possibilities of attacking hard computing problems. It also closes the gap between theory and practice by providing at once a graduate textbook and a handbook for practitioners dealing with hard computing problems.
Book Synopsis Mathematical Foundations of Computer Science by :
Download or read book Mathematical Foundations of Computer Science written by and published by . This book was released on 2004 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Combinatorial Optimization and Applications by : Weili Wu
Download or read book Combinatorial Optimization and Applications written by Weili Wu and published by Springer Nature. This book was released on 2024-01-09 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 14461 and LNCS 14462 constitutes the refereed proceedings of the 17th International Conference on Combinatorial Optimization and Applications, COCOA 2023, held in Hawaii, HI, USA, during December 15–17, 2023. The 73 full papers included in the proceedings were carefully reviewed and selected from 117 submissions. They were organized in topical sections as follows: Part I: Optimization in graphs; scheduling; set-related optimization; applied optimization and algorithm; Graph planer and others; Part II: Modeling and algorithms; complexity and approximation; combinatorics and computing; optimization and algorithms; extreme graph and others; machine learning, blockchain and others.
