Blaster is a simple application that illustrates Windows NT 5.0’s support of the IrDA protocol. IrDA provides reliable point to point connectivity between 2 computers equipped with infrared
Developers use algorithms and data structures every day of their working lives. Having a good under-standing of these algorithms and knowledge of when to apply them is essential to producing softwarethat not only works correctly, but also performs efficiently.
This book aims to explain those algorithms and data structures most commonly encountered in day-to-day software development, while remaining at all times practical, concise, and to the point, with little orno verbiage to distract from the core concepts and examples.
The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa.
For example,
>> project.name = MyProject
>> project.id = 1234
>> project.param.a = 3.1415
>> project.param.b = 42
becomes with str=xml_format(project, off )
"<project>
<name>MyProject</name>
<id>1234</id>
<param>
<a>3.1415</a>
<b>42</b>
</param>
</project>"
On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).
Microsoft Visual Studio 2005 Unleashed is a deep dive into the Visual Studio 2005 tool. Specifically, it will provide you with solid guidance and education that will allow you to squeeze the ultimate productivity and use out of the Visual Studio 2005 development environment. This book folds in real-world development experience with detailed information about the IDE to make you more productive and ease transition from other development environments (including prior versions of Visual Studio). This book will also help you increase team collaboration and project visibility with Visual Studio Team Systems and it will give you straight, to-the-point answers to common developer questions about the IDE.
數值計算牛頓迭代法的matlab源程序
說明如下：
％fun----input,the part as the form of f(x) in the equation f(x)=0
％ ini----input,sets the starting point to ini
％ err----input,sets admissible error
％ sol----output,returns the root of equation
Java technology is both a programming language and a platform. The Java programming language originated as part of a research project to develop advanced software for a wide variety of network devices and embedded systems. The goal was to develop a small, reliable, portable, distributed, real-time operating platform. When the project started, C++ was the language of choice. But over time the difficulties encountered with C++ grew to the point where the problems could best be addressed by creating an entirely new language platform. Design and architecture decisions drew from a variety of languages such as Eiffel, SmallTalk, Objective C, and Cedar/Mesa. The result is a language platform that has proven ideal for developing secure, distributed, network-based end-user applications in environments ranging from network-embedded devices to the World-Wide Web and the desktop
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending
on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets
indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
