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Über die Kawi-sprache auf der Insel Java
Wilhelm von Humboldt (1767–1835) was a German philologist, diplomat and philosopher. While Minister of Education he was responsible for reforming the Prussian education system. His pioneering achievements in linguistics influenced many later scholars including Chomsky. This monumental three-volume study of Kawi, a traditional formal and literary language of Java belonging to the Austronesian language family, was posthumously published in 1836–9. The manuscript was prepared for the press by J. K. E. Buschmann, a protégé of Humboldt's friend and colleague Bopp (also reissued in this series). Humboldt considered Kawi, which includes many Sanskrit loan-words, to be the common ancestor of all the Malayo-Polynesian languages, though this view is no longer accepted. Volume 1 begins with a preface by Humboldt's brother Alexander describing Wilhelm's extensive academic network, and reprints Wilhelm's famous 1836 essay on language, before focusing on the question of Indian (Sanskrit and Buddhist) influences on Javan language and society.
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Java Distributed Computing
Distributed computing and Java go together naturally. As the first language designed from the bottom up with networking in mind, Java makes it very easy for computers to cooperate. Even the simplest applet running in a browser is a distributed application, if you think about it. The client running the browser downloads and executes code that is delivered by some other system. But even this simple applet wouldn't be possible without Java's guarantees of portability and security: the applet can run on any platform, and can't sabotage its host. Of course, when we think of distributed computing, we usually think of applications more complex than a client and server communicating with the same protocol. We usually think in terms of programs that make remote procedure calls, access remote databases, and collaborate with others to produce a single result. Java Distributed Computing discusses how to design and write such applications.It covers Java's RMI (Remote Method Invocation) facility and CORBA, but it doesn't stop there; it tells you how to design your own protocols to build message passing systems and discusses how to use Java's security facilities, how to write multithreaded servers, and more. It pays special attention to distributed data systems, collaboration, and applications that have high bandwidth requirements. In the future, distributed computing can only become more important. Java Distributed Computing provides a broad introduction to the problems you'll face and the solutions you'll find as you write distributed computing applications. Topics covered in Java Distributed Computing: * Introduction to Distributed Computing * Networking Basics * Distributed Objects (Overview of CORBA and RMI) * Threads * Security * Message Passing Systems * Distributed Data Systems (Databases) * Bandwidth Limited Applications * Collaborative Systems
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Numeric Computation and Statistical Data Analysis on the Java Platform
Numericalcomputation, knowledge discovery and statistical data analysis integrated withpowerful 2D and 3D graphics for visualization are the key topics of this book. ThePython code examples powered by the Java platform can easily be transformed toother programming languages, such as Java, Groovy, Ruby and BeanShell. Thisbook equips the reader with acomputational platform which, unlike other statistical programs, is not limitedby a single programming language.The authorfocuses on practical programming aspects and covers a broad range of topics,from basic introduction to the Python language on the Java platform (Jython),to descriptive statistics, symbolic calculations, neural networks, non-linearregression analysis and many other data-mining topics. He discusses how to findregularities in real-world data, how to classify data, and how to process datafor knowledge discoveries. The code snippets are so short that they easily fit intosingle pages.Numeric Computation and Statistical DataAnalysis on the Java Platform is a great choice for those who want to learn how statisticaldata analysis can be done using popular programming languages, who want tointegrate data analysis algorithms in full-scale applications, and deploy suchcalculations on the web pages or computational servers regardlessof their operating system. It is an excellent reference for scientific computations to solvereal-world problems using a comprehensive stack of open-source Javalibraries included in the DataMelt (DMelt) project and will beappreciated by many data-analysis scientists, engineers and students.
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Java for Bioinformatics and Biomedical Applications
Medical science and practice have undergone fundamental changes in the last 5 years, as large-scale genome projects have resulted in the sequencing of a number of important microbial, plant and animal genomes. This book aims to combine industry standard software engineering and design principles with genomics, bioinformatics and cancer research. Rather than an exercise in learning a programming platform, the text focuses on useful analytical tools for the scientific community.
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Pro Java 6 3D Game Development
This book looks at the two most popular ways of using Java SE 6 to write 3D games on PCs: Java 3D (a high-level scene graph API) and JOGL (a Java layer over OpenGL). Written by Java gaming expert, Andrew Davison, this book uses the new Java (SE) 6 platform and its features including splash screens, scripting, and the desktop tray interface. This book is also unique in that it covers Java game development using the Java 3D API and Java for OpenGL--both critical components and libraries for Java-based 3D game application development
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