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Communication Complexity by Anup Rao,Amir Yehudayoff Pdf
Presents basic theory for graduate students and researchers with applications in circuit and proof complexity, streaming algorithms and distributed computing.
Lower Bounds in Communication Complexity by Troy Lee,Adi Shraibman Pdf
The communication complexity of a function f(x, y) measures the number of bits that two players, one who knows x and the other who knows y, must exchange to determine the value f(x, y). Communication complexity is a fundamental measure of complexity of functions. Lower bounds on this measure lead to lower bounds on many other measures of computational complexity. This monograph surveys lower bounds in the field of communication complexity. Our focus is on lower bounds that work by first representing the communication complexity measure in Euclidean space. That is to say, the first step in these lower bound techniques is to find a geometric complexity measure, such as rank or trace norm, that serves as a lower bound to the underlying communication complexity measure. Lower bounds on this geometric complexity measure are then found using algebraic and geometric tools.
Communication Complexity and Parallel Computing by Juraj Hromkovič Pdf
The communication complexity of two-party protocols is an only 15 years old complexity measure, but it is already considered to be one of the fundamen tal complexity measures of recent complexity theory. Similarly to Kolmogorov complexity in the theory of sequential computations, communication complex ity is used as a method for the study of the complexity of concrete computing problems in parallel information processing. Especially, it is applied to prove lower bounds that say what computer resources (time, hardware, memory size) are necessary to compute the given task. Besides the estimation of the compu tational difficulty of computing problems the proved lower bounds are useful for proving the optimality of algorithms that are already designed. In some cases the knowledge about the communication complexity of a given problem may be even helpful in searching for efficient algorithms to this problem. The study of communication complexity becomes a well-defined indepen dent area of complexity theory. In addition to a strong relation to several funda mental complexity measures (and so to several fundamental problems of com plexity theory) communication complexity has contributed to the study and to the understanding of the nature of determinism, nondeterminism, and random ness in algorithmics. There already exists a non-trivial mathematical machinery to handle the communication complexity of concrete computing problems, which gives a hope that the approach based on communication complexity will be in strumental in the study of several central open problems of recent complexity theory.
Complexity Applications in Language and Communication Sciences by Àngels Massip-Bonet,Gemma Bel-Enguix,Albert Bastardas-Boada Pdf
This book offers insights on the study of natural language as a complex adaptive system. It discusses a new way to tackle the problem of language modeling, and provides clues on how the close relation between natural language and some biological structures can be very fruitful for science. The book examines the theoretical framework and then applies its main principles to various areas of linguistics. It discusses applications in language contact, language change, diachronic linguistics, and the potential enhancement of classical approaches to historical linguistics by means of new methodologies used in physics, biology, and agent systems theory. It shows how studying language evolution and change using computational simulations enables to integrate social structures in the evolution of language, and how this can give rise to a new way to approach sociolinguistics. Finally, it explores applications for discourse analysis, semantics and cognition.
Corporate Communications by Lars Thoeger Christensen,Mette Morsing,George Cheney Pdf
The field of corporate communications describes the practices organizations use to communicate as coherent corporate `bodies′. Drawing on the metaphor of the body and on a variety of theories and disciplines the text challenges the idealized notion that organizations can and should communicate as unified wholes. The authors pose important questions such as: - Where does the central idea of corporate communications come from? - What are the underlying assumptions of most corporate communications practices? - What are the organizational and ethical challenges of attempting truly `corporate′ communication? Clearly written with international vignettes and executive briefings, this book shows that in a complex world the management of communication needs to embrace multiple opinions and voices. Rewarding readers with a deeper understanding of corporate communications, the text will be a `must read′ for advanced undergraduates, graduate students, and scholars, in the arenas of corporate communications, organizational communication, employee relations, marketing, public relations and corporate identity management. Practitioners in these areas will be provoked to re-examine their assumptions and habits.
Communication Complexity (for Algorithm Designers) by Tim Roughgarden Pdf
This book deals mostly with impossibility results - lower bounds on what can be accomplished by algorithms. However, the perspective is unapologetically that of an algorithm designer. The reader will learn lower bound technology on a "need-to-know" basis, guided by fundamental algorithmic problems that we care about.
Boolean circuit complexity is the combinatorics of computer science and involves many intriguing problems that are easy to state and explain, even for the layman. This book is a comprehensive description of basic lower bound arguments, covering many of the gems of this “complexity Waterloo” that have been discovered over the past several decades, right up to results from the last year or two. Many open problems, marked as Research Problems, are mentioned along the way. The problems are mainly of combinatorial flavor but their solutions could have great consequences in circuit complexity and computer science. The book will be of interest to graduate students and researchers in the fields of computer science and discrete mathematics.
Computational Complexity by Sanjeev Arora,Boaz Barak Pdf
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
Content and Complexity by Michael J. Albers,Mary Beth Mazur Pdf
Information design is an emerging area in technical communication, garnering increased attention in recent times as more information is presented through both old and new media. In this volume, editors Michael J. Albers and Beth Mazur bring together scholars and practitioners to explore the issues facing those in this exciting new field. Treating information as it applies to technical communication, with a special emphasis on computer-centric industries, this volume delves into the role of information design in assisting with concepts, such as usability, documenting procedures, and designing for users. Influential members in the technical communication field examine such issues as the application of information design in structuring technical material; innovative ways of integrating information design within development methodologies and social aspects of the workplace; and theoretical approaches that include a practical application of information design, emphasizing the intersection of information design theories and workplace reality. This collection approaches information design from the language-based technical communication side, emphasizing the role of content as it relates to complexity in information design. As such, it treats as paramount the rhetorical and contextual strategies required for the effective design and transmission of information. Content and Complexity: Information Design in Technical Communication explores both theoretical perspectives, as well as the practicalities of information design in areas relevant to technical communicators. This integration of theoretical and applied components make it a practical resource for students, educators, academic researchers, and practitioners in the technical communication and information design fields.
Structural Information and Communication Complexity by Sergio Rajsbaum,Alkida Balliu,Joshua J. Daymude,Dennis Olivetti Pdf
This book constitutes the refereed proceedings of the 30th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2023, held in Alcalá de Henares, Spain, during June 6–9, 2023. The 26 full papers presented in this book were carefully reviewed and selected from 48 submissions. SIROCCO is devoted to the study of the interplay between structural knowledge, communication, and computing in decentralized systems of multiple communicating entities. Special emphasis is given to innovative approaches leading to better understanding of the relationship between computing and communication. This is the 30th edition of SIROCCO, and 3 of the 26 papers in this book are devoted to celebrating this fact, plus an additional paper about a recent trend to study special models of computation.
Successful Program Management by Wanda Curlee,Robert Lee Gordon Pdf
Complexity theory is a great, untapped resource in the field of management. Experts agree that it can be a powerful tool for managing complex and virtual programs, but there is little material available to guide program managers on how to use complexity theory to communicate and lead effectively.Filling this void, Successful Program Management: Com
2CO Communicating complexity by Nicolò Ceccarelli Pdf
2CO COmmunicating COmplexity is the international design conference aiming at exploring languages, approaches and technologies to respond to the emerging need for making complex information accessible throught design. 2CO’s first edition (25-26 October 2013, Alghero, Italy) has gathered an international community of professionals and scholars active in this area to share experiences, points of views and methodologies, focusing on three main areas of interest: informative-animation, interactive data visualization, info-graphics. This volume collects their contributions in the three conference categories: full papers, posters and ‘junior track’ special session. Generated by a consortium of European Universities that in 2011 started collaborating on the InformAnimation project, and by fellow Universities active in visual design teaching and research, COmmunicating COmplexity aims at becoming an international reference point for research and education in the area of communicating complexity through new media.
Stochastic Algorithms: Foundations and Applications by Kathleen Steinhöfel Pdf
SAGA 2001, the ?rst Symposium on Stochastic Algorithms, Foundations and Applications, took place on December 13–14, 2001 in Berlin, Germany. The present volume comprises contributed papers and four invited talks that were included in the ?nal program of the symposium. Stochastic algorithms constitute a general approach to ?nding approximate solutions to a wide variety of problems. Although there is no formal proof that stochastic algorithms perform better than deterministic ones, there is evidence by empirical observations that stochastic algorithms produce for a broad range of applications near-optimal solutions in a reasonable run-time. The symposium aims to provide a forum for presentation of original research in the design and analysis, experimental evaluation, and real-world application of stochastic algorithms. It focuses, in particular, on new algorithmic ideas invo- ing stochastic decisions and exploiting probabilistic properties of the underlying problem domain. The program of the symposium re?ects the e?ort to promote cooperation among practitioners and theoreticians and among algorithmic and complexity researchers of the ?eld. In this context, we would like to express our special gratitude to DaimlerChrysler AG for supporting SAGA 2001. The contributed papers included in the proceedings present results in the following areas: Network and distributed algorithms; local search methods for combinatorial optimization with application to constraint satisfaction problems, manufacturing systems, motor control unit calibration, and packing ?exible - jects; and computational learning theory.