Download or read book The Thirty eighth Annual ACM Symposium on Theory of Computing STOC 2006 written by Scott Aaronson and published by . This book was released on 2010 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Special Issue the Thirty Eighth Annual ACM Symposium on Theory of Computing STOC 2006 written by Scott Aaronson and published by . This book was released on 2009 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the Thirty eighth Annual ACM Symposium on Theory of Computing written by ACM Special Interest Group for Algorithms and Computation Theory and published by . This book was released on 2006 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Journey Through Discrete Mathematics written by Martin Loebl and published by Springer. This book was released on 2017-10-11 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of high-quality articles in the field of combinatorics, geometry, algebraic topology and theoretical computer science is a tribute to Jiří Matoušek, who passed away prematurely in March 2015. It is a collaborative effort by his colleagues and friends, who have paid particular attention to clarity of exposition – something Jirka would have approved of. The original research articles, surveys and expository articles, written by leading experts in their respective fields, map Jiří Matoušek’s numerous areas of mathematical interest.
Download or read book Frontiers in Algorithmics written by Jianer Chen and published by Springer. This book was released on 2018-05-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Workshop on Frontiers in Algorithmics, FAW 2018, held in Guangzhou, China, in May 2018.The 23 full papers presented in this volume were carefully reviewed and selected from 38 submissions. The papers of this workshop provide a focused forum on current trends of research on algorithms, discrete structures, and their applications.
Download or read book Automata Languages and Programming written by Lars Arge and published by Springer. This book was released on 2007-08-26 with total page 969 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume features the refereed proceedings from the 34th International Colloquium on Automata, Languages and Programming, held in Wroclaw, Poland in July 2007. Seventy-six full papers are presented, together with four invited lectures. The papers are grouped into three major tracks covering algorithms, automata, complexity, and games; logic, semantics, and theory of programming; and security and cryptography foundations.
Download or read book An Introduction to Quantum Computing written by Phillip Kaye and published by Oxford University Press. This book was released on 2007 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors provide an introduction to quantum computing. Aimed at advanced undergraduate and beginning graduate students in these disciplines, this text is illustrated with diagrams and exercises.
Download or read book Static Analysis written by Francesco Logozzo and published by Springer. This book was released on 2013-06-15 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 20th International Symposium on Static Analysis, SAS 2013, held in Seattle, WA, USA, in June 2013. The 23 revised full papers presented together with 2 invited talks were selected from 56 submissions. The papers address all aspects of static analysis, including abstract domains, abstract interpretation, abstract testing, bug detection, data flow analysis, model checking, new applications, program transformation, program verification, security analysis, theoretical frameworks, and type checking.
Download or read book Broad Learning Through Fusions written by Jiawei Zhang and published by Springer. This book was released on 2019-06-08 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.
Download or read book Approximation Randomization and Combinatorial Optimization Algorithms and Techniques written by Maria Serna and published by Springer. This book was released on 2010-08-27 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 13th International Wo- shop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX 2010) and the 14th International Workshop on Randomization and Computation (RANDOM 2010), which took place concurrently in Universitat Politècnica de Catalunya (UPC) Barcelona, Spain, during September 1-3, 2010. APPROX focuses on algorithmic and complexity issues surrounding the dev- opment of e?cient approximate solutions to computationally di?cult problems, and was the 13th in the series after Aalborg (1998), Berkeley (1999), Sa- brücken (2000), Berkeley (2001), Rome (2002), Princeton (2003), Cambridge (2004), Berkeley (2005), Barcelona (2006), Princeton (2007), Boston (2008) and Berkeley (2009). RANDOM is concerned with applications of randomness to computational and combinatorial problems, and was the 14th workshop in the - ries following Bologna (1997), Barcelona (1998), Berkeley (1999), Geneva (2000), Berkeley (2001), Harvard (2002), Princeton (2003), Cambridge (2004), Berkeley (2005), Barcelona (2006), Princeton (2007), Boston (2008), and Berkeley (2009).
Download or read book Graphs and Combinatorial Optimization from Theory to Applications written by Claudio Gentile and published by Springer Nature. This book was released on 2021-03-01 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view and from applications in all fields. The book chapters describe models and methods based on graphs, structural properties, discrete optimization, network optimization, mixed-integer programming, heuristics, meta-heuristics, math-heuristics, and exact methods as well as applications. The book collects selected contributions from the CTW2020 international conference (18th Cologne-Twente Workshop on Graphs and Combinatorial Optimization), held online on September 14-16, 2020. The conference was organized by IASI-CNR with the contribution of University of Roma Tre, University Roma Tor Vergata, and CNRS-LIX and with the support of AIRO. It is addressed to researchers, PhD students, and practitioners in the fields of Graph Theory, Discrete Mathematics, Combinatorial Optimization, and Operations Research.
Download or read book Automata Languages and Programming written by Magnús M. Halldórsson and published by Springer. This book was released on 2015-06-19 with total page 1141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 9134 and LNCS 9135 constitutes the refereed proceedings of the 42nd International Colloquium on Automata, Languages and Programming, ICALP 2015, held in Kyoto, Japan, in July 2015. The 143 revised full papers presented were carefully reviewed and selected from 507 submissions. The papers are organized in the following three tracks: algorithms, complexity, and games; logic, semantics, automata, and theory of programming; and foundations of networked computation: models, algorithms, and information management.
Download or read book Approximation Randomization and Combinatorial Optimization Algorithms and Techniques written by Ashish Goel and published by Springer Science & Business Media. This book was released on 2008-08-12 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of the 11th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2008 and the 12th International Workshop on Randomization and Computation, RANDOM 2008, held in Boston, MA, USA, in August 2008. The 20 revised full papers of the APPROX 2008 workshop were carefully reviewed and selected from 42 submissions and focus on algorithmic and complexity issues surrounding the development of efficient approximate solutions to computationally difficult problems. RANDOM 2008 is concerned with applications of randomness to computational and combinatorial problems and accounts for 27 revised full papers, also diligently reviewed and selected out of 52 workshop submissions.
Download or read book Reversible Computation written by Michael Kirkedal Thomsen and published by Springer. This book was released on 2019-06-17 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Reversible Computation, RC 2019, held in Lausanne, Switzerland, in June 2019. The 12 full papers and two short papers included in this volume were carefully reviewed and selected from 22 submissions. One invited talk is also included. The papers are organized in the following topical sections: theory and foundation; programming languages; circuit synthesis; evaluation of circuit synthesis; and applications and implementations.
Download or read book Compressed Sensing and its Applications written by Holger Boche and published by Birkhäuser. This book was released on 2018-01-17 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery. This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in the field who are not as familiar with it.
Download or read book Optimization Under Uncertainty written by Shipra Agrawal and published by Stanford University. This book was released on 2011 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern decision models increasingly involve parameters that are unknown or uncertain. Uncertainty is typically modeled by probability distribution over possible realizations of some random parameters. In presence of high dimensional multivariate random variables, estimating the joint probability distributions is difficult, and optimization models are often simplified by assuming that the random variables are independent. Although popular, the effect of this heuristic on the solution quality was little understood. This thesis centers around the following question: "How much can the expected cost increase if the random variables are arbitrarily correlated?" We introduce a new concept of Correlation Gap to quantify this increase. For given marginal distributions, Correlation Gap compares the expected value of a function on the worst case (expectation maximizing) joint distribution to its expected value on the independent (product) distribution. Correlation gap captures the "Price of Correlations" in stochastic optimization -- using a distributionally robust stochastic programming model, we show that a small correlation gap implies that the efficient heuristic of assuming independence is actually robust against any adversarial correlations, while a large correlation gap suggests that it is important to invest more in data collection and learning correlations. Apart from decision making under uncertainty, we show that our upper bounds on correlation gap are also useful for solving many deterministic optimization problems like welfare maximization, k-dimensional matching and transportation problems, for which it captures the performance of randomized algorithmic techniques like independent random selection and independent randomized rounding. Our main technical results include upper and lower bounds on correlation gap based on the properties of the cost function. We demonstrate that monotonicity and submodularity of function implies a small correlation gap. Further, we employ techniques of cross-monotonic cost-sharing schemes from game theory in a novel manner to provide a characterization of non-submodularity functions with small correlation gap. Results include small constant bounds for cost functions resulting from many popular applications such as stochastic facility location, Steiner tree network design, minimum spanning tree, minimum makespan scheduling, single-source rent-or-buy network design etc. Notably, we show that for many interesting functions, correlation gap is bounded irrespective of the dimension of the problem or type of marginal distributions. Additionally, we demonstrate the tightness of our characterization, that is, small correlation gap of a function implies existence of an "approximate" crossmonotonic cost-sharing scheme. This observation could also be useful for enhancing the understanding of such schemes, and may be of independent interest.
Download or read book Approximation Randomization and Combinatorial Optimization Algorithms and Techniques written by Prasad Raghavendra and published by Springer. This book was released on 2013-08-16 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 16th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2013, and the 17th International Workshop on Randomization and Computation, RANDOM 2013, held in August 2013 in the USA. The total of 48 carefully reviewed and selected papers presented in this volume consist of 23 APPROX papers selected out of 46 submissions, and 25 RANDOM papers selected out of 52 submissions. APPROX 2013 focuses on algorithmic and complexity theoretic issues relevant to the development of efficient approximate solutions to computationally difficult problems, while RANDOM 2013 focuses on applications of randomness to computational and combinatorial problems.
