Download or read book Do You Compute written by Ryan Mungia and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Before Alexa and the iPhone, there was the large and unwieldy mainframe computer. In the postwar 1950s, computers were mostly used for aerospace and accounting purposes. To the public at large, they were on a rung that existed somewhere between engineering and science fiction. Magazine ads and marketing brochures were designed to create a fantasy surrounding these machines for prospective clients: Higher profit margins! Creativity unleashed! Total automation! With the invention of the microchip in the 1970s came the PC and video games, which shifted the target of computer advertising from corporations to the individual. By the end of the millennium, the notion of selling tech burst wide open to include robots, cell phones, blogs, online dating services, and much, much more. Do You Compute? is a broad survey featuring the very best of computer advertising in the 20th century. From the Atomic Age to the Y2K bug, this volume presents a connoisseur's selection of graphic gems culled from museums, university archives, and private collections to illustrate the evolution of the computer from its early days as a hulking piece of machinery to its current state as a handheld device. Accompanied by two essays--one by cultural anthropologist Ryan Mungia and the other by graphic design historian Steven Heller--and including five different decade-long timelines that highlight some of the most influential moments in computer history, this fun yet meaningful volume is a unique look at the computer and how it has shaped our world.
Download or read book Mathematics and Computation written by Avi Wigderson and published by Princeton University Press. This book was released on 2019-10-29 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography
Download or read book What Can Be Computed written by John MacCormick and published by Princeton University Press. This book was released on 2018-05-01 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com
Download or read book Theory and Applications of Models of Computation written by Jin-Yi Cai and published by Springer. This book was released on 2007-07-23 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Theory and Applications of Models of Computation, TAMC 2007, held in Shanghai, China in May 2007. It addresses all major areas in computer science; mathematics, especially logic; and the physical sciences, particularly with regard to computation and computability theory. The papers particularly focus on algorithms, complexity and computability theory.
Download or read book Practical Rendering and Computation with Direct3D 11 written by Jason Zink and published by CRC Press. This book was released on 2011-07-27 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: Direct3D 11 offers such a wealth of capabilities that users can sometimes get lost in the details of specific APIs and their implementation. While there is a great deal of low-level information available about how each API function should be used, there is little documentation that shows how best to leverage these capabilities. Written by active members of the Direct3D community, Practical Rendering and Computation with Direct3D 11 provides a deep understanding of both the high and low level concepts related to using Direct3D 11. The first part of the book presents a conceptual introduction to Direct3D 11, including an overview of the Direct3D 11 rendering and computation pipelines and how they map to the underlying hardware. It also provides a detailed look at all of the major components of the library, covering resources, pipeline details, and multithreaded rendering. Building upon this material, the second part of the text includes detailed examples of how to use Direct3D 11 in common rendering scenarios. The authors describe sample algorithms in-depth and discuss how the features of Direct3D 11 can be used to your advantage. All of the source code from the book is accessible on an actively maintained open source rendering framework. The sample applications and the framework itself can be downloaded from http://hieroglyph3.codeplex.com By analyzing when to use various tools and the tradeoffs between different implementations, this book helps you understand the best way to accomplish a given task and thereby fully leverage the potential capabilities of Direct3D 11.
Download or read book Secure Multiparty Computation written by Ronald Cramer and published by Cambridge University Press. This book was released on 2015-07-15 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on theoretically secure multiparty computation (MPC) and secret sharing, and the fascinating relationship between the two concepts.
Download or read book Algorithms and Computation written by Toshihide Ibaraki and published by Springer Science & Business Media. This book was released on 2003-12-03 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Symposium on Algorithms and Computation, ISAAC 2003, held in Kyoto, Japan, in December 2003. The 73 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on computational geometry, graph and combinatorial algorithms, computational complexity, quantum computing, combinatorial optimization, scheduling, computational biology, distributed and parallel algorithms, data structures, combinatorial and network optimization, computational complexity and cryptography, game theory and randomized algorithms, and algebraic and arithmetic computation.
Download or read book Milestones in Matrix Computation written by Gene Howard Golub and published by Oxford University Press. This book was released on 2007-02-22 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text presents and discusses some of the most influential papers in Matrix Computation authored by Gene H. Golub, one of the founding fathers of the field. Including commentaries by leading experts and a brief biography, this text will be of great interest to students and researchers in numerical analysis and scientific computation.
Download or read book Compute IT Student s Book 1 Computing for KS3 written by George Rouse and published by Hodder Education. This book was released on 2014-07-04 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can: Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3 Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of Study Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the first title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Download or read book Why Brains Don t Compute written by Dale Purves and published by Springer Nature. This book was released on 2021-05-07 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines what seems to be the basic challenge in neuroscience today: understanding how experience generated by the human brain is related to the physical world we live in. The 25 short chapters present the argument and evidence that brains address this problem on a wholly trial and error basis. The goal is to encourage neuroscientists, computer scientists, philosophers, and other interested readers to consider this concept of neural function and its implications, not least of which is the conclusion that brains don’t “compute.”
Download or read book Algorithms and Computation written by Prosenjit K. Bose and published by Springer. This book was released on 2003-08-02 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation. This book constitutes the refereed proceedings of the 13th Annual International Symposium on Algorithms and Computation, ISAAC 2002, held in Vancouver, BC, Canada in November 2002. The 54 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from close to 160 submissions. The papers cover all relevant topics in algorithmics and computation, in particular computational geometry, algorithms and data structures, approximation algorithms, randomized algorithms, graph drawing and graph algorithms, combinatorial optimization, computational biology, computational finance, cryptography, and parallel and distributedd algorithms.
Download or read book Introduction to Computation and Programming Using Python second edition written by John V. Guttag and published by MIT Press. This book was released on 2016-08-12 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Understanding Computation written by Tom Stuart and published by "O'Reilly Media, Inc.". This book was released on 2013-05-15 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finally, you can learn computation theory and programming language design in an engaging, practical way. Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming. Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science. Understand fundamental computing concepts, such as Turing completeness in languages Discover how programs use dynamic semantics to communicate ideas to machines Explore what a computer can do when reduced to its bare essentials Learn how universal Turing machines led to today’s general-purpose computers Perform complex calculations, using simple languages and cellular automata Determine which programming language features are essential for computation Examine how halting and self-referencing make some computing problems unsolvable Analyze programs by using abstract interpretation and type systems
Download or read book Scientific Computation with Automatic Result Verification written by Ulrich Kulisch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Computation with Result Verification has been a persevering research topic at the Institute for Applied Mathematics of Karlsruhe University for many years. A good number of meetings have been devoted to this area. The latest of these meetings was held from 30 September to 2 October, 1987, in Karlsruhe; it was co-sponsored by the GAMM Committee on "Computer Arithmetic and Scientific Computation". - - This volume combines edited versions of selected papers presented at this confer ence, including a few which were presented at a similar meeting one year earlier. The selection was made on the basis of relevance to the topic chosen for this volume. All papers are original contributions. In an appendix, we have supplied a short account of the Fortran-SC language which permits the programming of algorithms with result verification in a natural manner. The editors hope that the publication of this material as a Supplementum of Computing will further stimulate the interest of the scientific community in this important tool for Scientific Computation. In particular, we would like to make application scientists aware of its potential. The papers in the second chapter of this volume should convince them that automatic result verification may help them to design more reliable software for their particular tasks. We wish to thank all contributors for adapting their manuscripts to the goals of this volume. We are also grateful to the Publisher, Springer-Verlag of Vienna, for an efficient and quick production.
Download or read book Compute IT Student s Book 2 Computing for KS3 written by Mark Dorling and published by Hachette UK. This book was released on 2014-10-31 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can: Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3 Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of Study Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the second title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Download or read book Think Before You Compute written by E. J. Hinch and published by Cambridge University Press. This book was released on 2020-05-31 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every fluid dynamicist will at some point need to use computation. Thinking about the physics, constraints and the requirements early on will be rewarded with benefits in time, effort, accuracy and expense. How these benefits can be realised is illustrated in this guide for would-be researchers and beginning graduate students to some of the standard methods and common pitfalls of computational fluid mechanics. Based on a lecture course that the author has developed over 20 years, the text is split into three parts. The quick introduction enables students to solve numerically a basic nonlinear problem by a simple method in just three hours. The follow-up part expands on all the key essentials, including discretisation (finite differences, finite elements and spectral methods), time-stepping and linear algebra. The final part is a selection of optional advanced topics, including hyperbolic equations, the representation of surfaces, the boundary integral method, the multigrid method, domain decomposition, the fast multipole method, particle methods and wavelets.
Download or read book The Physical Signature of Computation written by Neal G. Anderson and published by Oxford University Press. This book was released on 2024-07-09 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In The Physical Signature of Computation, Neal Anderson and Gualtiero Piccinini articulate and defend the robust mapping account--the most systematic, rigorous, and comprehensive account of computational implementation to date. Drawing in part from recent results in physical information theory, they argue that mapping accounts of implementation can be made adequate by incorporating appropriate physical constraints. According to the robust mapping account, the key constraint on mappings from physical to computational states--the key for establishing that a computation is physically implemented--is physical-computational equivalence: evolving physical states bear neither more nor less information about the evolving computation than do the computational states they map onto. When this highly nontrivial constraint is satisfied, among others that are spelled out as part of the account, a physical system can be said to implement a computation in a robust sense, which means that the system bears the physical signature of the computation. Anderson and Piccinini apply their robust mapping account to important questions in physical foundations of computation and cognitive science, including the alleged indeterminacy of computation, pancomputationalism, and the computational theory of mind. They show that physical computation is determinate, nontrivial versions of pancomputationalism fail, and cognition involves computation only insofar as neurocognitive systems bear the physical signature of specific computations. They also argue that both consciousness and physics outstrip computation.
