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Results And Trends In Theoretical Computer Science
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Book Synopsis Results and Trends in Theoretical Computer Science by : Juliani Karhumäki
Download or read book Results and Trends in Theoretical Computer Science written by Juliani Karhumäki and published by Springer Science & Business Media. This book was released on 1994-05-26 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is dedicated to Professor Arto Salomaa on the occasion of his 60th birthday. The 32 invited papers contained in the volume were presented at the festive colloquium, organized by Hermann Maurer at Graz, Austria, in June 1994; the contributing authors are well-known scientists with special relations to Professor Salomaa as friends, Ph.D. students, or co-authors. The volume reflects the broad spectrum of Professor Salomaa's research interests in theoretical computer science and mathematics with contributions particularly to automata theory, formal language theory, mathematical logic, computability, and cryptography. The appendix presents Professor Salomaa's curriculum vitae and lists the more than 300 papers and 9 books he published.
Book Synopsis Current Trends in Theoretical Computer Science by : Gheorghe P?un
Download or read book Current Trends in Theoretical Computer Science written by Gheorghe P?un and published by World Scientific. This book was released on 2004 with total page 1319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000OCo2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, OC Algorithms and ComplexityOCO and OC Formal Models and SemanticsOCO, reflecting the traditional division of the field. The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science. Contents: Vol 1: Algorithms; Computational Complexity; Distributed Computing; Natural Computing; Vol 2: Formal Specification; Logic in Computer Science; Concurrency; Formal Language Theory. Readership: Upper level undergraduates, graduate students and researchers in theoretical computer science and biocomputing."
Book Synopsis The Algorithmic Foundations of Differential Privacy by : Cynthia Dwork
Download or read book The Algorithmic Foundations of Differential Privacy written by Cynthia Dwork and published by . This book was released on 2014 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.
Book Synopsis Current Trends in Theoretical Computer Science by : Gheorghe Paeaun
Download or read book Current Trends in Theoretical Computer Science written by Gheorghe Paeaun and published by World Scientific. This book was released on 2004 with total page 1319 pages. Available in PDF, EPUB and Kindle. Book excerpt: contents: vol 1 : Algorithms; Computational Complexity; Distributed Computing; Natural Computing.
Book Synopsis Current Trends In Theoretical Computer Science: The Challenge Of The New Century; Vol 1: Algorithms And Complexity; Vol 2: Formal Models And Semantics by : Grzegorz Rozenberg
Download or read book Current Trends In Theoretical Computer Science: The Challenge Of The New Century; Vol 1: Algorithms And Complexity; Vol 2: Formal Models And Semantics written by Grzegorz Rozenberg and published by World Scientific. This book was released on 2004-04-19 with total page 1319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000-2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, “Algorithms and Complexity” and “Formal Models and Semantics”, reflecting the traditional division of the field.The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science.
Book Synopsis Trends, Techniques, and Problems in Theoretical Computer Science by : Alica Kelemenova
Download or read book Trends, Techniques, and Problems in Theoretical Computer Science written by Alica Kelemenova and published by Springer Science & Business Media. This book was released on 1987-10-21 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aerodynamics and hydrodynamics are still the main domains that make greater use of flow visualization and classical optical techniques such as schlieren and interferometry than of more recent techniques such as holography speckle, laser light sheets, laser-induced tracers and laser-induced fluorescence. A number of studies are now under way on turbulent and vortex flows, within boundary layers or wakes, in the mixing layer of two flows. Other studies concern jets, two-phase flows and air-water interface. To review and discuss developments in flow visualization, four international symposia have been held. Following Tokyo, Bochum and Ann Arbor, the Fourth International Symposium on Flow Visualization (ISFV 4) was held in Paris in August 1986.
Book Synopsis Algorithmic Results in List Decoding by : Venkatesan Guruswami
Download or read book Algorithmic Results in List Decoding written by Venkatesan Guruswami and published by Now Publishers Inc. This book was released on 2007-01-24 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Results in List Decoding introduces and motivates the problem of list decoding, and discusses the central algorithmic results of the subject, culminating with the recent results on achieving "list decoding capacity." The main technical focus is on giving a complete presentation of the recent algebraic results achieving list decoding capacity, while pointers or brief descriptions are provided for other works on list decoding. Algorithmic Results in List Decoding is intended for scholars and graduate students in the fields of theoretical computer science and information theory. The author concludes by posing some interesting open questions and suggests directions for future work.
Book Synopsis Coding for Interactive Communication by : Ran Gelles
Download or read book Coding for Interactive Communication written by Ran Gelles and published by . This book was released on 2017-11-28 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides the reader with a comprehensive view on the foundations of coding for interactive communication. It reviews the basic features of coding schemes in the interactive setting, and surveys the main techniques used in designing such schemes.
Book Synopsis Developments in Language Theory by : Masami Ito
Download or read book Developments in Language Theory written by Masami Ito and published by Springer. This book was released on 2008-09-10 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Developments in Language Theory, DLT 2008, held in Kyoto, Japan, September 2008. The 36 revised full papers presented together with 6 invited papers were carefully reviewed and selected from 102 submissions. All important issues in language theory are addressed including grammars, acceptors and transducers for words, trees and graphs; algebraic theories of automata; algorithmic, combinatorial and algebraic properties of words and languages; variable length codes; symbolic dynamics; cellular automata; polyominoes and multidimensional patterns; decidability questions; image manipulation and compression; efficient text algorithms; relationships to cryptography, concurrency, complexity theory and logic; bio-inspired computing; quantum computing.
Book Synopsis Semialgebraic Proofs and Efficient Algorithm Design by : Noah Fleming
Download or read book Semialgebraic Proofs and Efficient Algorithm Design written by Noah Fleming and published by . This book was released on 2019-12-10 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides the advanced reader with a deep insight into the exciting line of research, namely, proof that a solution exists has enabled an algorithm to find that solution itself with applications in many areas of computer science. It will inspire readers in deploying the techniques in their own further research.
Book Synopsis A Survey of Lower Bounds for Satisfiability and Related Problems by : Dieter van Melkebeek
Download or read book A Survey of Lower Bounds for Satisfiability and Related Problems written by Dieter van Melkebeek and published by Now Publishers Inc. This book was released on 2007 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the recently discovered lower bounds for the time and space complexity of satisfiability and closely related problems. It overviews the state-of-the-art results on general deterministic, randomized, and quantum models of computation, and presents the underlying arguments in a unified framework.
Book Synopsis Algebraic Foundations in Computer Science by : Werner Kuich
Download or read book Algebraic Foundations in Computer Science written by Werner Kuich and published by Springer Science & Business Media. This book was released on 2011-10-13 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of 15 papers honors the career of Symeon Bozapalidis. The focus is on his teaching subjects: algebra, linear algebra, mathematical logic, number theory, automata theory, tree languages and series, algebraic semantics, and fuzzy languages.
Book Synopsis Average-Case Complexity by : Andrej Bogdanov
Download or read book Average-Case Complexity written by Andrej Bogdanov and published by Now Publishers Inc. This book was released on 2006 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: Average-Case Complexity is a thorough survey of the average-case complexity of problems in NP. The study of the average-case complexity of intractable problems began in the 1970s, motivated by two distinct applications: the developments of the foundations of cryptography and the search for methods to "cope" with the intractability of NP-hard problems. This survey looks at both, and generally examines the current state of knowledge on average-case complexity. Average-Case Complexity is intended for scholars and graduate students in the field of theoretical computer science. The reader will also discover a number of results, insights, and proof techniques whose usefulness goes beyond the study of average-case complexity.
Book Synopsis Algorithmic and Analysis Techniques in Property Testing by : Dana Ron
Download or read book Algorithmic and Analysis Techniques in Property Testing written by Dana Ron and published by Now Publishers Inc. This book was released on 2010 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: Property testing algorithms are ultra"-efficient algorithms that decide whether a given object (e.g., a graph) has a certain property (e.g., bipartiteness), or is significantly different from any object that has the property. To this end property testing algorithms are given the ability to perform (local) queries to the input, though the decisions they need to make usually concern properties with a global nature. In the last two decades, property testing algorithms have been designed for many types of objects and properties, amongst them, graph properties, algebraic properties, geometric properties, and more. In this article we survey results in property testing, where our emphasis is on common analysis and algorithmic techniques. Among the techniques surveyed are the following: a) The self-correcting approach, which was mainly applied in the study of property testing of algebraic properties; b) The enforce and test approach, which was applied quite extensively in the analysis of algorithms for testing graph properties (in the dense-graphs model), as well as in other contexts; c) Szemeredi's Regularity Lemma, which plays a very important role in the analysis of algorithms for testing graph properties (in the dense-graphs model); d) The approach of Testing by implicit learning, which implies efficient testability of membership in many functions classes. e) Algorithmic techniques for testing properties of sparse graphs, which include local search and random walks.
Book Synopsis Theoretical Computer Science by : Dingzhu Du
Download or read book Theoretical Computer Science written by Dingzhu Du and published by Springer. This book was released on 2017-10-14 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the National Conference of Theoretical Computer Science, NCTCS 2017, held in Wuhan, Hubei, China, in October 2017. The 25 full papers presented were carefully reviewed and selected from 84 submissions. They present relevant trends of current research in the area of algorithms and complexity, software theory and method, data science and machine learning theory.
Download or read book Mathematical Reviews written by and published by . This book was released on 2003 with total page 1448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Faster Algorithms Via Approximation Theory by : Sushant Sachdeva
Download or read book Faster Algorithms Via Approximation Theory written by Sushant Sachdeva and published by . This book was released on 2014-03-28 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Faster Algorithms via Approximation Theory illustrates how classical and modern techniques from approximation theory play a crucial role in obtaining results that are relevant to the emerging theory of fast algorithms. The key lies in the fact that such results imply faster ways to approximate primitives such as products of matrix functions with vectors and, to compute matrix eigenvalues and eigenvectors, which are fundamental to many spectral algorithms. The first half of the book is devoted to the ideas and results from approximation theory that are central, elegant, and may have wider applicability in theoretical computer science. These include not only techniques relating to polynomial approximations but also those relating to approximations by rational functions and beyond. The remaining half illustrates a variety of ways that these results can be used to design fast algorithms. Faster Algorithms via Approximation Theory is self-contained and should be of interest to researchers and students in theoretical computer science, numerical linear algebra, and related areas.
