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Author : Daniel Ratner
Publisher : Unknown
Page : 254 pages
File Size : 49,7 Mb
Release : 1986
Category : Algorithms
ISBN : UCSC:32106005680308
Author : Juraj Hromkovič
Publisher : Springer Science & Business Media
Page : 501 pages
File Size : 45,9 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662046166
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.
Author : R. DeSalle,G. Giribet,W. Wheeler
Publisher : Birkhäuser
Page : 309 pages
File Size : 45,6 Mb
Release : 2013-03-08
Category : Science
ISBN : 9783034881142
Important practical implications are established by case reports and specific examples. The present book is the ideal complement to the practitioner’s manual Techniques in Molecular Systematics and Evolution, recently published by the same editors in the Birkhäuser MTBM book series. The first part of this book deals with important applications of evolutionary and systematic analysis at different taxonomic levels. The second part discusses DNA multiple sequence alignment, species designations using molecular data, evo-devo and other topics that are problematic or controversial. In the last part, novel topics in molecular evolution and systematics, like genomics, comparative methods in molecular evolution and the use of large data bases are described. The final chapter deals with problems in bacterial evolution, considering the increasing access to large numbers of complete genome sequences.
Author : Juraj Hromkovič
Publisher : Springer Science & Business Media
Page : 548 pages
File Size : 55,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662052693
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.
Author : D. Hausmann
Publisher : Springer Science & Business Media
Page : 326 pages
File Size : 43,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642463839
Author : Weixiong Zhang
Publisher : Springer Science & Business Media
Page : 228 pages
File Size : 51,6 Mb
Release : 1999-10-14
Category : Computers
ISBN : 0387988327
This book is particularly concerned with heuristic state-space search for combinatorial optimization. Its two central themes are the average-case complexity of state-space search algorithms and the applications of the results notably to branch-and-bound techniques. Primarily written for researchers in computer science, the author presupposes a basic familiarity with complexity theory, and it is assumed that the reader is familiar with the basic concepts of random variables and recursive functions. Two successful applications are presented in depth: one is a set of state-space transformation methods which can be used to find approximate solutions quickly, and the second is forward estimation for constructing more informative evaluation functions.
Author : Jaime Caro
Publisher : Springer Nature
Page : 461 pages
File Size : 54,6 Mb
Release : 2024
Category : Electronic
ISBN : 9789464633887
Zusammenfassung: This is an open access book. Computation should be a good blend of theory and practice. Researchers in the field should create algorithms to address real world problems putting equal weight to analysis and implementation. Experimentation and simulation can be viewed as yielding to refined theories or improved applications. WCTP 2023 is the twelfth workshop organized by the Tokyo Institute of Technology, The Institute of Scientific and Industrial Research-Osaka University, Chitose Institute of Science and Technology, University of the Philippines-Diliman and De La Salle University-Manila that is devoted to theoretical and practical approaches to computation. It aims to present the latest developments by theoreticians and practitioners in academe and industry working to address computational problems that can directly impact the way we live in society. WCTP 2023 will feature work-in-progress presentations of prominent researchers selected by members of its Program Committee who come from highly distinguished institutions in Japan and the Philippines. The presentation at the workshop will certainly provide high quality comments and discussion that future research can benefit from. WCTP 2023 is supported by Chitose Institute of Science and Technology, and Photonics World Consortium
Author : Marina Sokolova,Peter van Beek
Publisher : Springer
Page : 394 pages
File Size : 51,5 Mb
Release : 2014-04-30
Category : Computers
ISBN : 9783319064833
This book constitutes the refereed proceedings of the 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, held in Montréal, QC, Canada, in May 2014. The 22 regular papers and 18 short papers presented together with 3 invited talks were carefully reviewed and selected from 94 submissions. The papers cover a variety of topics within AI, such as: agent systems; AI applications; automated reasoning; bioinformatics and BioNLP; case-based reasoning; cognitive models; constraint satisfaction; data mining; E-commerce; evolutionary computation; games; information retrieval; knowledge representation; machine learning; multi-media processing; natural language processing; neural nets; planning; privacy-preserving data mining; robotics; search; smart graphics; uncertainty; user modeling; web applications.
Author : Ijcai
Publisher : Elsevier
Page : 1196 pages
File Size : 44,7 Mb
Release : 1979
Category : Computers
ISBN : 0934613478
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 55,9 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789814466875
Author : Mikhail J. Atallah,Marina Blanton
Publisher : CRC Press
Page : 1944 pages
File Size : 53,9 Mb
Release : 2022-05-30
Category : Computers
ISBN : 9781439832332
Algorithms and Theory of Computation Handbook, Second Edition in a two volume set, 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. New to the Second Edition: Along with updating and revising many of the existing chapters, this second edition contains more than 20 new chapters. This edition now covers external memory, parameterized, self-stabilizing, and pricing algorithms as well as the theories of algorithmic coding, privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, computational number theory, natural language processing, and grid computing and explores applications in intensity-modulated radiation therapy, voting, DNA research, systems biology, and financial derivatives. This best-selling handbook continues to help computer professionals and engineers find significant information on various algorithmic topics. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics
Author : Thu Bui, Lam,Alam, Sameer
Publisher : IGI Global
Page : 496 pages
File Size : 50,6 Mb
Release : 2008-05-31
Category : Technology & Engineering
ISBN : 9781599045009
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
Author : Mikhail J. Atallah,Marina Blanton
Publisher : CRC Press
Page : 974 pages
File Size : 41,9 Mb
Release : 2009-11-20
Category : Computers
ISBN : 9781584888239
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
Author : Thomas Bäck
Publisher : Oxford University Press, USA
Page : 329 pages
File Size : 55,5 Mb
Release : 1996
Category : Computers
ISBN : 9780195099713
A comparison of evolutionary algorithms. Organic evolution and problem solving. Biological background. Evolutionary algorithms and artificial intelligence. Evolutionary algorithms and global optimization. Early approaches. Specific evolutionary algorithms. Evolution strategies. Evolutionary programming. Genetic algorithms. Artificial landscapes. An empirical comparison. Extending genetic algorithms. Selection. Selection mechanisms. Experimental investigation of selection. Mutation. Simplified genetic algorithms. An experiment in meta-evolution. Summary and outlook. Data for the fletcher-powell function. Data from selection experiments. Software. The multiprocessor environment; mathematical symbols.
Author : Cornelius T. Leondes
Publisher : Elsevier
Page : 485 pages
File Size : 44,9 Mb
Release : 1998-02-09
Category : Computers
ISBN : 9780080498980
This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. Radial Basis Function networks The Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks Weight initialization Fast and efficient variants of Hamming and Hopfield neural networks Discrete time synchronous multilevel neural systems with reduced VLSI demands Probabilistic design techniques Time-based techniques Techniques for reducing physical realization requirements Applications to finite constraint problems Practical realization methods for Hebbian type associative memory systems Parallel self-organizing hierarchical neural network systems Dynamics of networks of biological neurons for utilization in computational neuroscience
