Over the past few years, the now-open source Adobe Flex framework has been adopted by the Java community as the preferred framework for Java rich Internet applications (RIAs) using Flash for the presentation layer. Flex helps Java developers to build and maintain expressive web/desktop applications that deploy consistently on all major browsers, desktops, and operating systems. Beginning Java and Flex describes new, simpler, and faster ways to develop enterprise RIAs. This book is not only for Java or Flex developers, but also for all web developers who want to increase their productivity and the quality of their development. The aim of the book is to teach the new frontier of web development using open source, agile, lightweight Java frameworks with Flex. Java lightweight framework programming helps Flex developers create dynamic-looking enterprise applications. Flex and Java are becoming very popular for both business and interactive applications. What you'll learn * What Adobe Flex is and how to use it in your Java development of the presentation tier or rich clients * How to use Spring, Hibernate, and/or Maven with Flex * How to use Flex and Java to create rich Internet applications and/or clients * How to create Flash-based/enabled business applications * How to write more stable Java-based Flex applications and reusable code * How to create some Flash-based game applications Who this book is for This book is for Java developers who want to get into Flex, Spring, Hibernate, and/or Maven, and for all Flex developers who want to create projects with the most frequently used Java frameworks. Also, this book could be interesting for most other web developers because Java/Flex, once learned, will increase their productivity and the quality of their development. Table of Contents * Developing with Java and Flex * Presenting the Sample Application * Configuring Your Development Environment * Inversion of Control * Spring JDBC and Hibernate * Spring Security * Flex (The View Layer) * Working with Data in Flex * BlazeDS * Using Flex, Spring, and Hibernate Together

In a marketplace that depends so thoroughly on cutting-edge information technology, can classic economic principles still offer any real strategic value? Yes! say Carl Shapiro and Hal Varian. In Information Rules, they reveal that many conventional economic concepts can provide the insight and understanding necessary to succeed in the information age. Shapiro and Varian argue that if managers seriously want to develop effective strategies for competing in the new economy, they must understand the fundamental economics of information technology. Whether information takes the form of software code or recorded music, is published in a book or magazine, or even posted on a website, managers must know how to evaluate the consequences of pricing, protecting, and planning new versions of information products, services, and systems. The first book to distill the economics of information and networks into practical business strategies, Information Rules is a guide to the winning moves that can help business leaders-from writers, lawyers, and finance professionals to executives in the entertainment, publishing, and hardware and software industries--navigate successfully through the information economy.

In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology.a a The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.

"The Grid is an emerging infrastructure that will fundamentally change the way we think about-and use-computing. The word Grid is used by analogy with the electric power grid, which provides pervasive access to electricity and has had a dramatic impact on human capabilities and society. Many believe that by allowing all components of our information technology infrastructure-computational capabilities, databases, sensors, and people-to be shared flexibly as true collaborative tools the Grid will have a similar transforming effect, allowing new classes of applications to emerge." -From the Preface In 1998, Ian Foster and Carl Kesselman introduced a whole new concept in computing with the first edition of this book. Today there is a broader and deeper understanding of the nature of the opportunities offered by Grid computing and the technologies needed to realize those opportunities. In Grid 2, the editors reveal the revolutionary impact of large-scale resource sharing and virtualization within science and industry, the intimate relationships between organization and resource sharing structures and the new technologies required to enable secure, reliable, and efficient resource sharing on large scale.Foster and Kesselman have once again assembled a team of experts to present an up-to-date view of Grids that reports on real experiences and explains the available technologies and new technologies emerging from labs, companies and standards bodies. Grid 2, like its predecessor, serves as a manifesto, design blueprint, user guide and research agenda for future Grid systems. *30 chapters including more than a dozen completely new chapters.*Web access to 13 unchanged chapters from the first edition.*Three personal essays by influential thinkers on the significance of Grids from the perspectives of infrastructure, industry, and science.*A foundational overview of the central Grid concepts and architectural principles.*Twelve application vignettes showcase working Grids in science, engineering, industry, and commerce.*Detailed discussions of core architecture and services, data and knowledge management, and higher-level tools.*Focused presentations on production Grid deployment, computing platforms, peer-to-peer technologies, and network infrastructures.*Extensive bibliography and glossary.

This book's introduction features a humorous story of a man with a line of people behind him, who explains to his boss, "I can't find an efficient algorithm, but neither can all these famous people." This man illustrates an important quality of a class of problems, namely, the NP-complete problems: if you can prove that a problem is in this class, then it has no known polynomial-time solution that is guaranteed to work in general. This quality implies that the problem is difficult to deal with in practice.
The focus of this book is to teach the reader how to identify, deal with, and understand the essence of NP-complete problems; Computers and Intractability does all of those things effectively. In a readable yet mathematically rigorous manner, the book covers topics such as how to prove that a given problem is NP-complete and how to cope with NP-complete problems. (There is even a chapter on advanced topics, with numerous references.) Computers and Intractability also contains a list of more than 300 problems--most of which are known to be NP-complete--with comments and references.

自第一版出版以来，Introduction to Algorithms已经成为世界范围内广泛使用的大学教材和专业人员的标准参考手册。书中全面论述了算法的内容，从一定深度上涵盖了算法的诸多方面，同时其讲授和分析方法又兼顾了各个层次读者的接受能力。各章内容自成体系，可作为独立单元学习。

The latest edition of this classic is updated with new problem sets and material
The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.
All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.
The Second Edition features:
* Chapters reorganized to improve teaching
* 200 new problems
* New material on source coding, portfolio theory, and feedback capacity
* Updated references
Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

【《文明之光》系列荣获由中宣部、中国图书评论学会和中央电视台联合推选的2014“中国好书”奖】
吴军博士从对人类文明产生了重大影响却在过去被忽略的历史故事里，选择了有意思的几十个片段特写，以人文和科技、经济结合的视角，有机地展现了一幅人类文明发展的宏大画卷。
《文明之光 》系列大致按照从地球诞生到近现代的顺序讲述了人类文明进程的各个阶段，每个章节相对独立，全景式地展现了人类文明发展历程中的多样性。
《文明之光》系列第三册讲述了音乐、美术、计算机、互联网、金融、硅谷对世界科技发展的启迪、微粒子和宇宙天文学、环境保护等，共八个专题。
看完这个系列，读者朋友可以体会到，在漫长的历史长河中，人类社会虽然不断遇到一些困难和问题，但人类总是会有办法解决它们，我们要成为一个“理性乐观派”；其次是能够认识到普通人对文明发展的贡献，每个人都可以成为贡献者。
【编辑推荐】
一曲理性乐观者的牧歌 通俗易懂的世界通史入门读物
娓娓道来几十段精彩的文明史片段，闪耀人类文明的三卷赞歌！
作者以人文与科技、经济结合的视角，选取对人类历史发展产生重大影响的人或事件：大航海，文艺复兴，古代罗马，美第奇家族，瓷器，牛顿，爱迪生，航天飞机，原子能，绘画、音乐，计算机时代……透过有趣易懂的故事式的讲解，揭示人类文明不断解决问题、曲折前行的辉煌历程，以及平凡人等对社会进步的巨大贡献。在阅读过程中，读者既能够增长历史知识，也可以体会到人类文明发展历程的多样性。
在具体的讲述上，作者以科学的态度提及不同的观点，并不只执一家之言或是轻易给出一个结论，比如评价宋朝就提到了钱穆、陈寅恪、费正清的不同观点。正是这种贯穿始终的科学态度，让这本书给人启发的同时也令人信服。
万科集团董事长王石先生、美国著名华裔物理学家张首晟教授分别为《文明之光》作序，对本书给予了高度评价。

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide" data (p bigger than n), including multiple testing and false discovery rates.

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.
August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age.

Diese kompakte Einf hrung in die Theoretische Informatik stellt die wichtigsten Modelle f r zentrale Probleme der Informatik vor. Dabei werden u.a. folgende Fragestellungen behandelt: Welche Probleme sind algorithmisch l sbar? (Theorie der Berechenbarkeit und Entscheidbarkeit)Wie schwierig ist es algorithmische Probleme zu l sen? (Theorie der Berechnungskomplexit t, NP-Theorie)Wie sind informationsverarbeitende Systeme prinzipiell aufgebaut? (Theorie der endlichen Automaten)Welche Strukturen besitzen Programmiersprachen? (Theorie der formalen Sprachen)In der Erarbeitung dieser Themen wird der Abstraktionsproze von den realen Gegenst nden der Informatik zu den in der Theoretischen Infromatik etabliertern Modellen, wie z.B. Random-Access-Maschinen, Turingmaschinen und endliche Automaten, nachvollzogen und umgekehrt verdeutlicht, was diese Modelle aufgrund der ber sie gewonnenen Erkenntnisse f r die Praxis leisten k nnen.