Proceedings Of The Twenty Sixth Annual Acm Siam Symposium On Discrete Algorithms

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Proceedings of the Sixth Annual ACM-SIAM Symposium on Discrete Algorithms

Author : Anonim
Publisher : SIAM
Page : 668 pages
File Size : 48,8 Mb
Release : 1995-01-01
Category : Computers
ISBN : 0898713498

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Proceedings of the Sixth Annual ACM-SIAM Symposium on Discrete Algorithms by Anonim Pdf

The proceedings of the January 1995 symposium, sponsored by the ACM Special Interest Group on Algorithms and Computation Theory and the SIAM Activity Group on Discrete Mathematics, comprise 70 papers. Among the topics: on-line approximate list indexing with applications; finding subsets maximizing minimum structures; register allocation in structured programs; and splay trees for data compression. No index. Annotation copyright by Book News, Inc., Portland, OR

Proceedings of the Twelfth Annual ACM-SIAM Symposium on Discrete Algorithms

Author : SIAM Activity Group on Discrete Mathematics
Publisher : SIAM
Page : 962 pages
File Size : 45,5 Mb
Release : 2001-01-01
Category : Mathematics
ISBN : 0898714907

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Proceedings of the Twelfth Annual ACM-SIAM Symposium on Discrete Algorithms by SIAM Activity Group on Discrete Mathematics Pdf

Contains 130 papers, which were selected based on originality, technical contribution, and relevance. Although the papers were not formally refereed, every attempt was made to verify the main claims. It is expected that most will appear in more complete form in scientific journals. The proceedings also includes the paper presented by invited plenary speaker Ronald Graham, as well as a portion of the papers presented by invited plenary speakers Udi Manber and Christos Papadimitriou.

Integer Programming and Combinatorial Optimization

Author : Friedrich Eisenbrand,Jochen Koenemann
Publisher : Springer
Page : 456 pages
File Size : 44,8 Mb
Release : 2017-06-06
Category : Computers
ISBN : 9783319592503

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Integer Programming and Combinatorial Optimization by Friedrich Eisenbrand,Jochen Koenemann Pdf

This book constitutes the refereed proceedings of the 19th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2017, held in Waterloo, IN, Canada, in June 2017. The 36 full papers presented were carefully reviewed and selected from 125 submissions. The conference is a forum for researchers and practitioners working on various aspects of integer programming and combinatorial optimization. The aim is to present recent developments in theory, computation, and applications in these areas. The scope of IPCO is viewed in a broad sense, to include algorithmic and structural results in integer programming and combinatorial optimization as well as revealing computational studies and novel applications of discrete optimization to practical problems.

Online Algorithms

Author : Rahul Vaze
Publisher : Cambridge University Press
Page : 489 pages
File Size : 48,7 Mb
Release : 2023-09-30
Category : Computers
ISBN : 9781009349185

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Online Algorithms by Rahul Vaze Pdf

A rigorous and comprehensive introduction to online algorithms in a pedagogy-rich, readily accessible form for students.

WALCOM: Algorithms and Computation

Author : Petra Mutzel,Md. Saidur Rahman,Slamin
Publisher : Springer Nature
Page : 428 pages
File Size : 51,5 Mb
Release : 2022-03-16
Category : Computers
ISBN : 9783030967314

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WALCOM: Algorithms and Computation by Petra Mutzel,Md. Saidur Rahman,Slamin Pdf

This book constitutes the proceedings of the 16th International Conference on Algorithms and Computation, WALCOM 2022, which was held in Jember, Indonesia, during March 24-26, 2022. This proceedings volume contains 30 full papers which were carefully reviewed and selected from a total of 89 submissions and 3 invited papers. They cover diverse areas of algorithms and computation, such as approximation algorithms, computational complexity, computational geometry, graph algorithms, graph drawing and visualization, online algorithms, parameterized complexity and property testing.

Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms

Author : ACM-SIAM Symposium on Discrete Algorithms,Moses Charikar
Publisher : Unknown
Page : 1690 pages
File Size : 50,7 Mb
Release : 2010
Category : Computer science
ISBN : 0898716985

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Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms by ACM-SIAM Symposium on Discrete Algorithms,Moses Charikar Pdf

Handbook of Approximation Algorithms and Metaheuristics

Author : Teofilo F. Gonzalez
Publisher : CRC Press
Page : 780 pages
File Size : 51,8 Mb
Release : 2018-05-15
Category : Computers
ISBN : 9781351235419

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Handbook of Approximation Algorithms and Metaheuristics by Teofilo F. Gonzalez Pdf

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.

Principles and Methods of Explainable Artificial Intelligence in Healthcare

Author : Albuquerque, Victor Hugo C. de,Srinivasu, P. Naga,Bhoi, Akash Kumar,Briones, Alfonso Gonza?lez
Publisher : IGI Global
Page : 347 pages
File Size : 46,7 Mb
Release : 2022-05-20
Category : Computers
ISBN : 9781668437926

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Principles and Methods of Explainable Artificial Intelligence in Healthcare by Albuquerque, Victor Hugo C. de,Srinivasu, P. Naga,Bhoi, Akash Kumar,Briones, Alfonso Gonza?lez Pdf

Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model’s adaptability facilitates the management of heterogeneous healthcare data and the visualization of biological structures through virtual reality. Explainable artificial intelligence has newfound applications in the healthcare industry, such as clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. Principles and Methods of Explainable Artificial Intelligence in Healthcare discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction. Covering topics such as neural networks and disease detection, this reference work is ideal for industry professionals, practitioners, academicians, researchers, scholars, instructors, and students.

LATIN 2024: Theoretical Informatics

Author : José A. Soto
Publisher : Springer Nature
Page : 363 pages
File Size : 47,6 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9783031555985

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LATIN 2024: Theoretical Informatics by José A. Soto Pdf

Treewidth, Kernels, and Algorithms

Author : Fedor V. Fomin,Stefan Kratsch,Erik Jan van Leeuwen
Publisher : Springer Nature
Page : 350 pages
File Size : 44,7 Mb
Release : 2020-04-20
Category : Computers
ISBN : 9783030420710

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Treewidth, Kernels, and Algorithms by Fedor V. Fomin,Stefan Kratsch,Erik Jan van Leeuwen Pdf

This Festschrift was published in honor of Hans L. Bodlaender on the occasion of his 60th birthday. The 14 full and 5 short contributions included in this volume show the many transformative discoveries made by H.L. Bodlaender in the areas of graph algorithms, parameterized complexity, kernelization and combinatorial games. The papers are written by his former Ph.D. students and colleagues as well as by his former Ph.D. advisor, Jan van Leeuwen. Chapter “Crossing Paths with Hans Bodlaender: A Personal View on Cross-Composition for Sparsification Lower Bounds” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Combinatorial Optimization and Graph Algorithms

Author : Takuro Fukunaga,Ken-ichi Kawarabayashi
Publisher : Springer
Page : 120 pages
File Size : 51,9 Mb
Release : 2017-10-02
Category : Computers
ISBN : 9789811061479

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Combinatorial Optimization and Graph Algorithms by Takuro Fukunaga,Ken-ichi Kawarabayashi Pdf

Covering network designs, discrete convex analysis, facility location and clustering problems, matching games, and parameterized complexity, this book discusses theoretical aspects of combinatorial optimization and graph algorithms. Contributions are by renowned researchers who attended NII Shonan meetings on this essential topic. The collection contained here provides readers with the outcome of the authors’ research and productive meetings on this dynamic area, ranging from computer science and mathematics to operations research. Networks are ubiquitous in today's world: the Web, online social networks, and search-and-query click logs can lead to a graph that consists of vertices and edges. Such networks are growing so fast that it is essential to design algorithms to work for these large networks. Graph algorithms comprise an area in computer science that works to design efficient algorithms for networks. Here one can work on theoretical or practical problems where implementation of an algorithm for large networks is needed. In two of the chapters, recent results in graph matching games and fixed parameter tractability are surveyed. Combinatorial optimization is an intersection of operations research and mathematics, especially discrete mathematics, which deals with new questions and new problems, attempting to find an optimum object from a finite set of objects. Most problems in combinatorial optimization are not tractable (i.e., NP-hard). Therefore it is necessary to design an approximation algorithm for them. To tackle these problems requires the development and combination of ideas and techniques from diverse mathematical areas including complexity theory, algorithm theory, and matroids as well as graph theory, combinatorics, convex and nonlinear optimization, and discrete and convex geometry. Overall, the book presents recent progress in facility location, network design, and discrete convex analysis.

DNA Computing and Molecular Programming

Author : Chris Thachuk,Yan Liu
Publisher : Springer
Page : 237 pages
File Size : 45,5 Mb
Release : 2019-07-30
Category : Computers
ISBN : 9783030268077

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DNA Computing and Molecular Programming by Chris Thachuk,Yan Liu Pdf

This book constitutes the refereed proceedings of the 25th International Conference on DNA Computing and Molecular Programming, DNA 25, held in Seattle, WA, USA, in August 2019. The 12 full papers presented were carefully selected from 19 submissions. The papers cover a wide range of topics relating to biomolecular computing such as algorithms and models for computation on biomolecular systems; computational processes in vitro and in vivo; molecular switches, gates, devices, and circuits; molecular folding and self-assembly of nanostructures; analysis and theoretical models of laboratory techniques; molecular motors and molecular robotics; information storage; studies of fault-tolerance and error correction; software tools for analysis, simulation, anddesign; synthetic biology and in vitro evolution; and applications in engineering, physics, chemistry, biology, and medicine.

Algorithms for Sensor Systems

Author : Antonio Fernández Anta,Tomasz Jurdzinski,Miguel A. Mosteiro,Yanyong Zhang
Publisher : Springer
Page : 237 pages
File Size : 41,9 Mb
Release : 2017-12-30
Category : Computers
ISBN : 9783319727516

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Algorithms for Sensor Systems by Antonio Fernández Anta,Tomasz Jurdzinski,Miguel A. Mosteiro,Yanyong Zhang Pdf

This book constitutes revised selected papers from the 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2017, held in Vienna, in September 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 30 submissions. ALGOSENSORS is an international symposium dedicated to the algorithmic aspects of wireless networks. Originally focused on sensor networks, it now covers algorithmic issues arising in wireless networks of all types of computational entities, static or mobile, including sensor networks, sensor-actuator networks, autonomous robots. The focus is on the design and analysis of algorithms, models of computation, and experimental analysis.