Matters Computational

Matters Computational
Author: Jörg Arndt
Publisher: Springer Science & Business Media
Total Pages: 980
Release: 2010-10-01
Genre: Computers
ISBN: 364214764X

This book provides algorithms and ideas for computationalists. Subjects treated include low-level algorithms, bit wizardry, combinatorial generation, fast transforms like the Fourier transform, and fast arithmetic for both real numbers and finite fields. Various optimization techniques are described and the actual performance of many given implementations is examined. The focus is on material that does not usually appear in textbooks on algorithms. The implementations are done in C++ and the GP language, written for POSIX-compliant platforms such as the Linux and BSD operating systems.

Improving Information Security Practices through Computational Intelligence

Improving Information Security Practices through Computational Intelligence
Author: Awad, Wasan Shaker
Publisher: IGI Global
Total Pages: 348
Release: 2015-08-26
Genre: Computers
ISBN: 1466694270

The recent explosion in complex global networking architectures has spurred a concomitant rise in the need for robust information security. Further, as computing power increases exponentially with every passing year, so do the number of proposed cryptographic schemata for improving and ensuring the encryption integrity of cutting-edge infosec protocols. Improving Information Security Practices through Computational Intelligence presents an overview of the latest and greatest research in the field, touching on such topics as cryptology, stream ciphers, and intrusion detection, and providing new insights to an audience of students, teachers, and entry-level researchers working in computational intelligence, information security, and security engineering.

Experimental and Computational Mathematics

Experimental and Computational Mathematics
Author: Jonathan M. Borwein
Publisher: PSIpress
Total Pages: 309
Release: 2010
Genre: Mathematics
ISBN: 193563805X

A quiet revolution in mathematical computing and scientific visualization took place in the latter half of the 20th century. These developments have dramatically enhanced modes of mathematical insight and opportunities for "exploratory" computational experimentation. This volume collects the experimental and computational contributions of Jonathan and Peter Borwein over the past quarter century.

Data, Matter, Design

Data, Matter, Design
Author: Frank Melendez
Publisher: Routledge
Total Pages: 338
Release: 2020-09-29
Genre: Architecture
ISBN: 1000064417

Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs. Technological changes, through the use of computational tools and processes, have radically altered and influenced our relationship to cities and the methods by which we design architecture, urban, and landscape systems. This book presents a wide range of curated projects and contributed texts by leading architects, urbanists, and designers that transform data as an abstraction, into spatial, experiential, and performative configurations within urban ecologies, emerging materials, robotic agents, adaptive fields, and virtual constructs. Richly illustrated with over 200 images, Data, Matter, Design is an essential read for students, academics, and professionals to evaluate and discuss how data in design methodologies and theoretical discourses have evolved in the last two decades and why processes of data collection, measurement, quantification, simulation, algorithmic control, and their integration into methods of reading and producing spatial conditions, are becoming vital in academic and industry practices.

An Introduction to Language with Online Study Tools 12 Months

An Introduction to Language with Online Study Tools 12 Months
Author: Victoria Fromkin
Publisher: Cengage AU
Total Pages: 632
Release: 2017
Genre: Language and languages
ISBN: 0170386805

An Introduction to Language continues to be instrumental in introducing students to the fascinating study of human language. Engagingly and clearly written, it provides an overview of the key areas of linguistics from an Australian perspective. This classic text is suitable for students in fields as diverse as linguistics, computer science, English, communication studies, anthropology, foreign language teaching and speech pathology. The text is divided into four sections, and chapters take you through the nature of human language, the grammatical aspects and psychology of language, finishing with language and its relation to society. Chapters have also been reworked and revised to keep all syntax up-to-date and accurate. Popular features from previous editions have been retained for this ninth edition including learning objectives and margin definitions in each chapter, along with summary tables inside the covers, which assist you to learn core concepts and terminology.gy.

Computational Matter

Computational Matter
Author: Susan Stepney
Publisher: Springer
Total Pages: 335
Release: 2018-07-20
Genre: Computers
ISBN: 3319658263

This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.

Computational Linguistics

Computational Linguistics
Author: Nick Cercone
Publisher: Elsevier
Total Pages: 258
Release: 2014-06-20
Genre: Language Arts & Disciplines
ISBN: 1483190617

Computational Linguistics provides an overview of the variety of important research in computational linguistics in North America. This work is divided into 15 chapters and begins with a survey of the theoretical foundations and parsing strategies for natural language. The succeeding chapters deal with psychological and linguistic modeling, discourse processing analysis, text and content analysis, and natural language understanding, as well as knowledge organization, memory models, and learning. Other chapters describe the programming systems and considerations for computation linguistics. The last chapters look into the nature of natural language front-end processes to database systems. These chapters also examine the human factors interface. This book will prove useful to computing scientists, philosophers, psychologists, and linguists.

Lessons from the Lobster

Lessons from the Lobster
Author: Charlotte Nassim
Publisher: MIT Press
Total Pages: 277
Release: 2018-06-26
Genre: Science
ISBN: 0262346028

How forty years of research on thirty neurons in the stomach of a lobster has yielded valuable insights for the study of the human brain. Neuroscientist Eve Marder has spent forty years studying thirty neurons on the stomach of a lobster. Her focus on this tiny network of cells has yielded valuable insights into the much more complex workings of the human brain; she has become a leading voice in neuroscience. In Lessons from the Lobster, Charlotte Nassim describes Marder's work and its significance accessibly and engagingly, tracing the evolution of a supremely gifted scientist's ideas. From the lobster's digestion to human thought is very big leap indeed. Our brains selectively recruit networks from about ninety billion available neurons; the connections are extremely complex. Nevertheless, as Nassim explains, Marder's study of a microscopic knot of stomatogastric neurons in lobsters and crabs, a small network with a countable number of neurons, has laid vital foundations for current brain research projects. Marder's approach is as intuitive as it is analytic, but always firmly anchored to data. Every scrap of information is a pointer for Marder; her discoveries depend on her own creative thinking as much as her laboratory's findings. Nassim describes Marder's important findings on neuromodulation, the secrets of neuronal networks, and homeostasis. Her recognition of the importance of animal-to-animal variability has influenced research methods everywhere. Marder has run her laboratory at Brandeis University since 1978. She was President of the Society for Neuroscience in 2008 and she is the recipient of numerous awards, including the 2016 Kavli Award in Neuroscience and the 2013 Gruber Prize in Neuroscience. Research that reaches the headlines often depends on technical fireworks, and especially on spectacular images. Marder's work seldom fits that pattern, but this book demonstrates that a brilliant scientist working carefully and thoughtfully can produce groundbreaking results.

Pi: The Next Generation

Pi: The Next Generation
Author: David H. Bailey
Publisher: Springer
Total Pages: 509
Release: 2016-07-19
Genre: Mathematics
ISBN: 3319323776

This book contains a compendium of 25 papers published since the 1970s dealing with pi and associated topics of mathematics and computer science. The collection begins with a Foreword by Bruce Berndt. Each contribution is preceded by a brief summary of its content as well as a short key word list indicating how the content relates to others in the collection. The volume includes articles on actual computations of pi, articles on mathematical questions related to pi (e.g., “Is pi normal?”), articles presenting new and often amazing techniques for computing digits of pi (e.g., the “BBP” algorithm for pi, which permits one to compute an arbitrary binary digit of pi without needing to compute any of the digits that came before), papers presenting important fundamental mathematical results relating to pi, and papers presenting new, high-tech techniques for analyzing pi (i.e., new graphical techniques that permit one to visually see if pi and other numbers are “normal”). This volume is a companion to Pi: A Source Book whose third edition released in 2004. The present collection begins with 2 papers from 1976, published by Eugene Salamin and Richard Brent, which describe “quadratically convergent” algorithms for pi and other basic mathematical functions, derived from some mathematical work of Gauss. Bailey and Borwein hold that these two papers constitute the beginning of the modern era of computational mathematics. This time period (1970s) also corresponds with the introduction of high-performance computer systems (supercomputers), which since that time have increased relentlessly in power, by approximately a factor of 100,000,000, advancing roughly at the same rate as Moore’s Law of semiconductor technology. This book may be of interest to a wide range of mathematical readers; some articles cover more advanced research questions suitable for active researchers in the field, but several are highly accessible to undergraduate mathematics students.

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems
Author: Yeliz Karaca
Publisher: Academic Press
Total Pages: 352
Release: 2022-06-22
Genre: Science
ISBN: 0323886167

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems. Constructs and presents a multifarious approach for critical decision-making processes embodying paradoxes and uncertainty. Includes a combination of theory and applications with regard to multi-chaos, fractal and multi-fractional as well as AI of different complex systems and many-body systems. Provides readers with a bridge between application of advanced computational mathematical methods and AI based on comprehensive analyses and broad theories.