Matters Computational
Title | Matters Computational PDF eBook |
Author | Jörg Arndt |
Publisher | Springer Science & Business Media |
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.
Computational Matter
Title | Computational Matter PDF eBook |
Author | Susan Stepney |
Publisher | Springer |
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.
Introduction to Computation and Programming Using Python, second edition
Title | Introduction to Computation and Programming Using Python, second edition PDF eBook |
Author | John V. Guttag |
Publisher | MIT Press |
Pages | 466 |
Release | 2016-08-12 |
Genre | Computers |
ISBN | 0262529629 |
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.
Improving Information Security Practices through Computational Intelligence
Title | Improving Information Security Practices through Computational Intelligence PDF eBook |
Author | Awad, Wasan Shaker |
Publisher | IGI Global |
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
Title | Experimental and Computational Mathematics PDF eBook |
Author | Jonathan M. Borwein |
Publisher | PSIpress |
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
Title | Data, Matter, Design PDF eBook |
Author | Frank Melendez |
Publisher | Routledge |
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.
Computational Complexity
Title | Computational Complexity PDF eBook |
Author | Sanjeev Arora |
Publisher | Cambridge University Press |
Pages | 609 |
Release | 2009-04-20 |
Genre | Computers |
ISBN | 0521424267 |
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.