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Algorithmics For Hard Problems


Algorithmics For Hard Problems
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Algorithmics For Hard Problems


Algorithmics For Hard Problems
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Author : Juraj Hromkovič
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Algorithmics For Hard Problems written by Juraj Hromkovič and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.


Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer technologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as weIl as from the practical point of view. There are many general textbooks on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics. But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the main possibilities for attacking hard algorithmic problems. As this topic is fundamental for computer science, this book tries to elose this gap. Another motivation, and probably the main reason for writing this book, is connected to education. The considered area has developed very dynamically in recent years and the research on this topic discovered several profound re sults, new concepts, and new methods. Some of the achieved contributions are so fundamental that one can speak about paradigms which should be ineluded in the education of every computer science student. Unfortunately, this is very far from reality. This is because these paradigms are not sufficiently known in the computer science community, and so they are insufficiently communicated to students and practitioners.



Algorithmics For Hard Problems


Algorithmics For Hard Problems
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Author : Juraj Hromkovič
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Algorithmics For Hard Problems written by Juraj Hromkovič and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.


Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics. But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the main possibilities for attacking hard algorithmic problems. As this topic is fundamental for computer science, this book tries to close this gap. Another motivation, and probably the main reason for writing this book, is connected to education. The considered area has developed very dynami cally in recent years and the research on this topic discovered several profound results, new concepts, and new methods. Some of the achieved contributions are so fundamental that one can speak about paradigms which should be in cluded in the education of every computer science student. Unfortunately, this is very far from reality. This is because these paradigms are not sufficiently known in the computer science community, and so they are insufficiently com municated to students and practitioners.



Algorithmics For Hard Problems


Algorithmics For Hard Problems
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Author :
language : en
Publisher:
Release Date : 2003

Algorithmics For Hard Problems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computational complexity categories.




Algorithm Designing Tools For Hard Problems


Algorithm Designing Tools For Hard Problems
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-19

Algorithm Designing Tools For Hard Problems written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Computers categories.


In the realm of computer science, where solving complex problems efficiently is paramount, approximation algorithms have emerged as a beacon of hope. These ingenious algorithms offer a practical approach to tackling computationally hard problems, where finding an exact solution is often intractable. By allowing for a controlled level of error, approximation algorithms provide near-optimal solutions in a reasonable amount of time. This comprehensive book, Algorithm Designing Tools for Hard Problems, delves into the fascinating world of approximation algorithms, making them accessible to a wide range of readers. With clear explanations and engaging examples, it guides readers through the fundamental concepts, techniques, and applications of approximation algorithms. From the theoretical foundations of computational complexity theory to the practical implementation of specific algorithms, this book covers a vast spectrum of topics. It explores the inner workings of greedy algorithms, dynamic programming, local search algorithms, and randomized algorithms, providing readers with a deep understanding of how these algorithms achieve their remarkable results. Furthermore, the book showcases the diverse applications of approximation algorithms in various domains, including computer science, operations research, economics, biology, and physics. These applications highlight the versatility and impact of approximation algorithms in addressing real-world challenges, from scheduling tasks to optimizing networks and designing efficient algorithms. This book is an invaluable resource for students seeking a thorough introduction to approximation algorithms, researchers pushing the boundaries of this field, and practitioners seeking practical solutions to complex problems. With its comprehensive coverage, clear explanations, and insightful examples, Algorithm Designing Tools for Hard Problems empowers readers to harness the power of approximation algorithms and unlock the potential of computing. Join us on this intellectual journey as we explore the intricate world of approximation algorithms and discover the art of finding near-optimal solutions to some of the most challenging problems in computer science and beyond. If you like this book, write a review!



Algorithmic Techniques For Computational Problems


Algorithmic Techniques For Computational Problems
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-28

Algorithmic Techniques For Computational Problems written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-28 with Computers categories.


EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.



Advanced Algorithms And Problem Solving


Advanced Algorithms And Problem Solving
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-28

Advanced Algorithms And Problem Solving written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-28 with Computers categories.


EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.



Algorithmic Adventures


Algorithmic Adventures
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Author : Juraj Hromkovič
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-22

Algorithmic Adventures written by Juraj Hromkovič and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-22 with Computers categories.


The ?rst and foremost goal of this lecture series was to show the beauty, depth and usefulness of the key ideas in computer science. While working on the lecture notes, we came to understand that one can recognize the true spirit of a scienti?c discipline only by viewing its contributions in the framework of science as a whole. We present computer science here as a fundamental science that, interacting with other scienti?c disciplines, changed and changes our view on the world, that contributes to our understanding of the fundamental concepts of science and that sheds new light on and brings new meaning to several of these concepts. We show that computer science is a discipline that discovers spectacular, unexpected facts, that ?nds ways out in seemingly unsolvable s- uations, and that can do true wonders. The message of this book is that computer science is a fascinating research area with a big impact on the real world, full of spectacular ideas and great ch- lenges. It is an integral part of science and engineering with an above-average dynamic over the last 30 years and a high degree of interdisciplinarity. The goal of this book is not typical for popular science writing, whichoftenrestrictsitselftooutliningtheimportanceofaresearch area. Whenever possible we strive to bring full understanding of the concepts and results presented.



An Introduction To Data Structures And Algorithms


An Introduction To Data Structures And Algorithms
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Author : J.A. Storer
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-09

An Introduction To Data Structures And Algorithms written by J.A. Storer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-09 with Computers categories.


Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel



Parameterized Algorithmics For Network Analysis Clustering Querying


Parameterized Algorithmics For Network Analysis Clustering Querying
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Author : Christian Komusiewicz
language : en
Publisher: Univerlagtuberlin
Release Date : 2011

Parameterized Algorithmics For Network Analysis Clustering Querying written by Christian Komusiewicz and has been published by Univerlagtuberlin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Handbook Of Approximation Algorithms And Metaheuristics


Handbook Of Approximation Algorithms And Metaheuristics
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Author : Teofilo F. Gonzalez
language : en
Publisher: CRC Press
Release Date : 2018-05-15

Handbook Of Approximation Algorithms And Metaheuristics written by Teofilo F. Gonzalez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-15 with Computers categories.


Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the Editor Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.