Computing

Covering the new OS X 10.9, Mac Basics in easy steps shows the reader how to get up and running on a Mac with minimal time and effort. Useful for anyone new to the world of Mac computing, such as thos

Covering the new Mac OS X Mountain Lion, Mac Basics in Easy Steps shows readers how to get up and running on a Mac with minimum time and effort. Useful for anyone new to the world of Mac computing, su

Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.

Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioner

Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide 'state of the art' techniques and analysis. This volume was originally published in 2010.

Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide 'state of the art' techniques and analysis. This volume was originally published in 2010.

第二季蘋果公司專利監控重要專利議題發現，包括：Apple Maps、AMOLED、MacBook Air Assembly、Electrowetting Display、Unlock Gesture、Move or Resize Gesture、Siri、Optical touch、Haptic touch、Multi-touch、Cloud Computing、3D GUI、Online Sho

Communication complexity is the mathematical study of scenarios where several parties need to communicate to achieve a common goal, a situation that naturally appears during computation. This introduction presents the most recent developments in an accessible form, providing the language to unify several disjoint research subareas. Written as a guide for a graduate course on communication complexity, it will interest a broad audience in computer science, from advanced undergraduates to researchers in areas ranging from theory to algorithm design to distributed computing. The first part presents basic theory in a clear and illustrative way, offering beginners an entry into the field. The second part describes applications including circuit complexity, proof complexity, streaming algorithms, extension complexity of polytopes, and distributed computing. Proofs throughout the text use ideas from a wide range of mathematics, including geometry, algebra, and probability. Each chapter contain

第一季蘋果公司專利監控重要專利議題發現，包括：iCloud、Cloud Computing、3D Image Sensing Device、3D GUI、GUI、Siri、Voice Control、Smart Cover、Multi-touch、Multi-touch skin、Smart Cover、Find my friends and find my iPhone、Airplane mod

Acta Numerica is a high-impact factor, prestigious annual publication containing invited surveys by leading researchers in numerical mathematics and scientific computing. The surveys present overviews of developments in their area and provide techniques and analyses. It is essential reading for practitioners and researchers. This volume was originally published in 2007.

Acta Numerica is a high-impact factor, prestigious annual publication containing invited surveys by leading researchers in numerical mathematics and scientific computing. The surveys present overviews of developments in their area and provide techniques and analyses. It is essential reading for practitioners and researchers. This volume was originally published in 2007.

Following the emergence of quantum computing, the subsequent quantum revolution will be that of interconnecting individual quantum computers at the global level. In the same way that classical computers only realised their full potential with the emergence of the internet, a fully-realised quantum internet is the next stage of evolution for quantum computation. This cutting-edge book examines in detail how the quantum internet would evolve in practise, focusing not only on the technology itself, but also the implications it will have economically and politically, with numerous non-technical sections throughout the text providing broader context to the discussion. The book begins with a description of classical networks before introducing the key concepts behind quantum networks, such as quantum internet protocols, quantum cryptography, and cloud quantum computing. Written in an engaging style and accessible to graduate students in physics, engineering, computer science and mathematics.

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data

Why is Shakespeare so often associated with information technologies and with the idea of archiving itself? Alan Galey explores this question through the entwined histories of Shakespearean texts and archival technologies over the past four centuries. In chapters dealing with the archive, the book, photography, sound, information, and data, Galey analyzes how Shakespeare became prototypical material for publishing experiments, and new media projects, as well as for theories of archiving and computing. Analyzing examples of the Shakespearean archive from the seventeenth century to today, he takes an original approach to Shakespeare and new media that will be of interest to scholars of the digital humanities, Shakespeare studies, archives, and media history. Rejecting the idea that current forms of computing are the result of technical forces beyond the scope of humanist inquiry, this book instead offers a critical prehistory of digitization read through the afterlives of Shakespeare's t

Why is Shakespeare so often associated with information technologies and with the idea of archiving itself? Alan Galey explores this question through the entwined histories of Shakespearean texts and archival technologies over the past four centuries. In chapters dealing with the archive, the book, photography, sound, information, and data, Galey analyzes how Shakespeare became prototypical material for publishing experiments, and new media projects, as well as for theories of archiving and computing. Analyzing examples of the Shakespearean archive from the seventeenth century to today, he takes an original approach to Shakespeare and new media that will be of interest to scholars of the digital humanities, Shakespeare studies, archives, and media history. Rejecting the idea that current forms of computing are the result of technical forces beyond the scope of humanist inquiry, this book instead offers a critical prehistory of digitization read through the afterlives of Shakespeare's t

Argumentation, which can be abstractly defined as the interaction of different arguments for and against some conclusion, is an important skill to learn for everyday life, law, science, politics and business. The best way to learn it is to try it out on real instances of arguments found in everyday conversational exchanges and legal argumentation. The introductory chapter of this book gives a clear general idea of what the methods of argumentation are and how they work as tools that can be used to analyze arguments. Each subsequent chapter then applies these methods to a leading problem of argumentation. Today the field of computing has embraced argumentation as a paradigm for research in artificial intelligence and multi-agent systems. Another purpose of this book is to present and refine tools and techniques from computing as components of the methods that can be handily used by scholars in other fields.

Argumentation, which can be abstractly defined as the interaction of different arguments for and against some conclusion, is an important skill to learn for everyday life, law, science, politics and business. The best way to learn it is to try it out on real instances of arguments found in everyday conversational exchanges and legal argumentation. The introductory chapter of this book gives a clear general idea of what the methods of argumentation are and how they work as tools that can be used to analyze arguments. Each subsequent chapter then applies these methods to a leading problem of argumentation. Today the field of computing has embraced argumentation as a paradigm for research in artificial intelligence and multi-agent systems. Another purpose of this book is to present and refine tools and techniques from computing as components of the methods that can be handily used by scholars in other fields.

The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use. Oliveira and Stewart's style guide for numerical software points out good practices to follow, and pitfalls to avoid. By following their advice, readers will learn how to write efficient software, and how to test it for bugs, accuracy and performance. Techniques are explained with a variety of programming languages, and illustrated with two extensive design examples, one in Fortran 90 and one in C++: other examples in C, C++, Fortran 90 and Java are scattered throughout the book. This manual of scientific computing style will be an essential addition to the bookshelf and lab of everyone who writes numerical software.

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo

Recent applications to biomolecular science and DNA computing have created a new audience for automata theory and formal languages. This is the only introductory book to cover such applications. It begins with a clear and readily understood exposition of the fundamentals that assumes only a background in discrete mathematics. The first five chapters give a gentle but rigorous coverage of basic ideas as well as topics not found in other texts at this level, including codes, retracts and semiretracts. Chapter 6 introduces combinatorics on words and uses it to describe a visually inspired approach to languages. The final chapter explains recently-developed language theory coming from developments in bioscience and DNA computing. With over 350 exercises (for which solutions are available), many examples and illustrations, this text will make an ideal contemporary introduction for students; others, new to the field, will welcome it for self-learning.

Recent applications to biomolecular science and DNA computing have created a new audience for automata theory and formal languages. This is the only introductory book to cover such applications. It begins with a clear and readily understood exposition of the fundamentals that assumes only a background in discrete mathematics. The first five chapters give a gentle but rigorous coverage of basic ideas as well as topics not found in other texts at this level, including codes, retracts and semiretracts. Chapter 6 introduces combinatorics on words and uses it to describe a visually inspired approach to languages. The final chapter explains recently-developed language theory coming from developments in bioscience and DNA computing. With over 350 exercises (for which solutions are available), many examples and illustrations, this text will make an ideal contemporary introduction for students; others, new to the field, will welcome it for self-learning.

Computing developed as a branch of mathematics, only to drift away from this home as computer science diverged towards more general topics such as the theory of how a computer works. Recently the emphasis has become more mathematical and the new disciplines of software engineering and information technology have emerged. This book is designed to form the basis of a one year course in discrete mathematics for first year computer scientists or software engineers. The material presented covers much of undergraduate algebra with a particular bias towards the computing applications. Topics covered include mathematical logic, set theory, finite and infinite relations and mappings, graphs, graphical algorithms and axiom systems. It concludes with implementations of many of the algorithms in Modula-2 to illustrate how the mathematics may be turned into concrete calculations. Numerous examples and exercises are included with selected solutions to the problems appearing in the appendix. Discrete

Acta Numerica is a high-impact factor, prestigious annual publication containing invited surveys by leading researchers in numerical mathematics and scientific computing. The surveys present overviews of developments in their area and provide techniques and analyses. It is essential reading for all practitioners and researchers. This volume was originally published in 2005.

Acta Numerica is a high-impact factor, prestigious annual publication containing invited surveys by leading researchers in numerical mathematics and scientific computing. The surveys present overviews of developments in their area and provide techniques and analyses. It is essential reading for all practitioners and researchers. This volume was originally published in 2006.

Acta Numerica is a high-impact factor, prestigious annual publication containing invited surveys by leading researchers in numerical mathematics and scientific computing. The surveys present overviews of developments in their area and provide techniques and analyses. It is essential reading for practitioners and researchers. It is essential reading for all practitioners and researchers.

CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.

●The learning approach fits the way students are learning today. Instead of a history lesson on the microchip, the focus is on tasks students can accomplish with their computing devices and skills they can apply immediately in the workplace, the classroom, and at home. The content is complemented by hands-on technology, and weekly news feeds to enrich the student learning experience.●All the content is up to date: students stay engaged because the content focuses on the material they want to learn (e.g., how to integrate computing devices into a home network), while teaching the material they need to learn (e.g., how networks work).●The sequence of topics is set up to mirror the typical student learning experience, so that they progress through stages of increasing difficulty.●This progressive approach intentionally introduces topics on a basic level in the earlier chapters and then later expands on those concepts in more detail when students have become more comfortable with them.●The

This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/97811071130

Modern BASIC programmers will be delighted to learn that the routines and demonstration programs from the highly acclaimed reference book Numerical Recipes: The Art of Scientific Computing are now available in their language of choice. Numerical Recipes, by William H. Press, Brian P. Flannery, Saul A. Teukolsky and William T. Vetterling, is a computing and numerical analysis. It is accompanied by the Numerical Recipes Example Book containing programs that demonstrate the subroutines. Julien C. Sprott has translated all of the recipes and programs, over 350 in all, into BASIC. This book brings the routines and programs together in a single source that includes computer code and code captions from both the book and example book and the commentary from the example book. It is recommended for use with one of the main Numerical Recipes books. The author employs Microsoft QuickBasic 4.5, but the recipes are easily adapted for other modern forms of BASIC. The programs contained in this book a

本書《MATLAB數值計算》（2013修訂版）經MATLAB、數值分析和科學計算之父Cleve Moler 本人 正式授權，是Numerical Computing with MATLAB 2008/2013修訂版的中譯本。該書不 以深奧的數值分析理論為內容，而以易於理解的數學思維和便於掌握的數學計算編程技術為 教學

本書討論幾何計算（geometry computing），它的主體是幾何，要解決的對象是幾何的定義、構造、度量、變換與關係處理。幾何計算在計算機圖形學、計算機輔助設計與製造、計算幾何以及醫學圖像處理、機械、船舶、建築、醫學、生物、藝術、運動學與機器人等領域均會有所應用。

1. 從Smart TV Alliance及中智盟看智慧電視推展關鍵議題 (2012/10/31) 2. New Computing趨勢下電視產品與應用之發展契機 (2012/10/18) 簡報檔 3. Smart TV市場與產品發展趨勢 (2012/8/24) 4. TV Apps發展分析 (2012/7/30) 5. 中國智慧電視品牌策略布局分析 (2012/7/27) 6

This text is intended to provide a modern and integrated treatment of the foundations and applications of continuum mechanics. There is a significant increase in interest in continuum mechanics because of its relevance to microscale phenomena. In addition to being tailored for advanced undergraduate students and including numerous examples and exercises, this text also features a chapter on continuum thermodynamics, including entropy production in Newtonian viscous fluid flow and thermoelasticity. Computer solutions and examples are emphasized through the use of the symbolic mathematical computing program Mathematica®.

Discover a practical, streamlined approach to systems development that focuses on the latest developments with Tilley's Systems Analysis and Design, Cengage International Edition, 13th, and MindTap digital resources. Real examples clearly demonstrate both traditional and emerging approaches to systems analysis and design, including object-oriented and agile methods. You also study emerging technologies such as artificial intelligence (AI), machine learning (ML), cloud computing and cybersecurity. Meaningful projects, insightful assignments and both online and printed exercises emphasize the critical thinking and IT skills that are most important in today's dynamic, business-related environment.

本書從實用的角度出發，參照美國計算機協會（Association for Computing Machinery，ACM）和美國電氣電子工程師學會（Institute of Electrical and Electronic Engineers，IEEE）的計算教程（Computing Curricula）2014-201關於軟件工程的要求，吸取了國內外軟件工程的精華，詳細介紹了軟件工程、軟件開發過程、軟件計劃、需求分析、總體設計、詳細設計、編碼、軟件測試、軟件維護、軟件工程標準化和軟件文檔、軟件工程質量、軟件工程項目管理、開發實例、經典例題分析等知識。每章配有習題，以指導讀者深入地進行學習。本書內容豐富，結構合理，既可作為高等學校軟件工程、計算機專業課程的教材或教學參考書，也可作為通信、電子信息、自動化等相關專業讀者的計算機課程教材，還可供軟件工程師、軟件項目管理者和應用軟件開發人員閱讀參考。

1. 新加坡雲端運算應用政策分析 (2012/10/30) 2. 行動應用浪潮下的雲端運算市場發展趨勢 (2012/10/24) 簡報檔 3. 新興運算風潮下， 資料中心發展趨勢與商機 (2012/10/18)簡報檔 4. 主要國家雲端運算推動項目與應用政策 (2012/8/21) 5. 從2012紐約Cloud Computing Expo觀察雲端產業發展趨勢 (2012/6/2

《大學光電與電子專業實驗雙語教程》由張永康主編，是為大學本科光電及電子類專業實驗課程進行雙語教學而編寫的一本新型教材，主要取材于加拿大勞瑞爾大學(Wilfrid Laurier University)光子專業(Photonics Program)和計算機電子專業(Computing and Computer Electronics Program)本科二、三年級的實驗教材。本書共包含32個實驗，由

Originally published in 1993, this book was the first to offer a comprehensive review of large eddy simulations (LES) - the history, state of the art, and promising directions for research. Among topics covered are fundamentals of LES; LES of incompressible, compressible, and reacting flows; LES of atmospheric, oceanic, and environmental flows; and LES and massivelt parallel computing. The book grew out of an international workshop that, for the first time, brought together leading researchers in engineering and geophysics to discuss developments and applications of LES models in their respective fields. It will be of value to anyone with an interest in turbulence modelling.

First published in 1976, this monograph presents an exposition of some of the more important theoretical and computational techniques that have been developed for the determination and interpretation of molecular wave functions. Although a comprehensive theory of the electronic structure and bonding in molecules had been developed by 1960, only with the advent of the electronic computer in the late 1950s did it become possible to perform accurate non-empirical calculations for molecules of chemical interest; indeed, much of the subsequent evolution of the theory has occurred in parallel with the development of computing machines and techniques.