Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques PDF Download

Author: Pat Morin
Publisher: Springer Nature
ISBN: 3031389069
Category : Computers
Languages : en
Pages : 732

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Book Description
This book constitutes the refereed proceedings of the 18th International Symposium on Algorithms and Data Structures, WADS 2023, held during July 31-August 2, 2023. The 47 regular papers, presented in this book, were carefully reviewed and selected from a total of 92 submissions. They present original research on the theory, design and application of algorithms and data structures.

Author: Faith Ellen
Publisher: Springer
ISBN: 3319621270
Category : Computers
Languages : en
Pages : 613

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Book Description
This book constitutes the refereed proceedings of the 15th Algorithms and Data Structures Symposium, WADS 2017, held in St. John's, NL, Canada, in July/August 2017. The 49 full papers presented together with 3 abstracts of invited talks were carefully reviewed and selected from 109 submissions. They present original research on the theory and application of algorithms and data structures in many areas, including combinatorics, computational geometry, databases, graphics, and parallel and distributed computing. The WADS Symposium, which alternates with the Scandinavian Symposium and Workshops on Algorithm Theory, SWAT, is intended as a forum for researchers in the area of design and analysis of algorithms and data structures. Papers presenting original research on the theory and application of algorithms and data structures

Author: Irit Dinur
Publisher: Springer Science & Business Media
ISBN: 3642036848
Category : Computers
Languages : en
Pages : 750

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Book Description
This book constitutes the joint refereed proceedings of the 12th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2009, and the 13th International Workshop on Randomization and Computation, RANDOM 2009, held in Berkeley, CA, USA, in August 2009. The 25 revised full papers of the APPROX 2009 workshop and the 28 revised full papers of the RANDOM 2009 workshop included in this volume, were carefully reviewed and selected from 56 and 58 submissions, respectively. APPROX focuses on algorithmic and complexity issues surrounding the development of efficient approximate solutions to computationally difficult problems. RANDOM is concerned with applications of randomness to computational and combinatorial problems.

Author: Tim Roughgarden
Publisher: Cambridge University Press
ISBN: 1108494315
Category : Computers
Languages : en
Pages : 705

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Book Description
Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Author: Ersébet Csuhaj-Varjú
Publisher: Springer
ISBN: 3662444658
Category : Computers
Languages : en
Pages : 659

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Book Description
This two volume set LNCS 8634 and LNCS 8635 constitutes the refereed conference proceedings of the 39th International Symposium on Mathematical Foundations of Computer Science, MFCS 2014, held in Budapest, Hungary, in August 2014. The 95 revised full papers presented together with 6 invited talks were carefully selected from 270 submissions. The focus of the conference was on following topics: Logic, Semantics, Automata, Theory of Programming, Algorithms, Complexity, Parallel and Distributed Computing, Quantum Computing, Automata, Grammars and Formal Languages, Combinatorics on Words, Trees and Games.

Author: Lian Li
Publisher: Springer
ISBN: 9811327122
Category : Computers
Languages : en
Pages : 168

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Book Description
This book constitutes the thoroughly refereed proceedings of the National Conference of Theoretical Computer Science, NCTCS 2018, held in Shanghai, China, in October 2018. The 11 full papers presented were carefully reviewed and selected from 31 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.

Author: Yao Ma
Publisher: Cambridge University Press
ISBN: 110893482X
Category : Computers
Languages : en
Pages : 340

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Book Description
Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines.

Author: Toon Calders
Publisher: Springer Nature
ISBN: 3031391446
Category : Computers
Languages : en
Pages : 190

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Book Description
This book contains a selection of the best papers of the 34th Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2022, held in Mechelen, Belgium, in November 2022. The 11 papers presented in this volume were carefully reviewed and selected from 134 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

Author: Peter Y. A. Ryan
Publisher: Springer
ISBN: 3662493012
Category : Computers
Languages : en
Pages : 549

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Book Description
This Festschrift volume is published in honor of David Kahn and is the outcome of a Fest held in Luxembourg in 2010 on the occasion of David Kahn’s 80th birthday. The title of this books leans on the title of a serious history of cryptology named “The Codebreakers”, written by David Kahn and published in 1967. This book contains 35 talks dealing with cryptography as a whole. They are organized in topical section named: history; technology – past, present, future; efficient cryptographic implementations; treachery and perfidy; information security; cryptanalysis; side-channel attacks; randomness embedded system security; public-key cryptography; and models and protocols.

Author: Maria Han Veiga
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111288994
Category : Mathematics
Languages : en
Pages : 210

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Book Description
This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics. There is a focus on well-known supervised machine learning algorithms, detailing the existing theory to provide some theoretical guarantees, featuring intuitive proofs and exposition of the material in a concise and precise manner. A broad set of topics is covered, giving an overview of the field. A summary of the topics covered is: statistical learning theory, approximation theory, linear models, kernel methods, Gaussian processes, deep neural networks, ensemble methods and unsupervised learning techniques, such as clustering and dimensionality reduction. This book is suited for students who are interested in entering the field, by preparing them to master the standard tools in Machine Learning. The reader will be equipped to understand the main theoretical questions of the current research and to engage with the field.