Solving Engineering Problems Using MATLAB C++ Math Library Introduction In the previous article, we studied how can use MATLAB C API to solve engineering problems. In this article I will show you how can use MATLAB C++ math library. The MATLAB® C++ Math Library serves two separate constituencies: MATLAB programmers seeking more speed or complete independence from interpreted MATLAB, and C++ programmers who need a fast, easy-to-use matrix math library. To each, it offers distinct advantages.
標簽： Introduction Engineering Problems previous
上傳時間： 2014-12-02
上傳用戶：13160677563
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
Developing internationalized products is a continuous balancing act. Developers and their managers often grossly underestimate the level of effort and attention to detail required to create either a world-ready, single-binary application ready for use in many different markets, or high-quality, foreign-language editions of a product. If you are a developer, make sure your management understands what is involved.
標簽： internationalized Developing Developers continuous
上傳時間： 2014-12-05
上傳用戶：TRIFCT
This fourth edition of the definitive reference to JavaScript, a scripting language that can be embedded directly in web pages, covers the latest version of the language, JavaScript 1.5, as supported by Netscape 6 and Internet Explorer 6. The book also provides complete coverage of the W3C DOM standard (Level 1 and Level 2), while retaining material on the legacy Level 0 DOM for backward compatibility
標簽： JavaScript definitive reference scripting
上傳時間： 2013-12-25
上傳用戶：xuanchangri
Ink Blotting One method for escaping from a maze is via ‘ink-blotting’. In this method your starting square is marked with the number ‘1’. All free, valid squares north, south, east and west around the number ‘1‘ are marked with a number ‘2’. In the next step, all free, valid squares around the two are marked with a ‘3’ and the process is repeated iteratively until : The exit is found (a free square other than the starting position is reached on the very edge of the maze), or, No more free squares are available, and hence no exit is possible.
標簽： method ink-blotting Blotting escaping
上傳時間： 2014-12-03
上傳用戶：123啊
This code implements min binomial heaps and min leftist trees.Plus, measure and compare the relative performance of these two implementations under the assumption that the only permissible operations are insert and delete-min.
標簽： implements and min binomial
上傳時間： 2014-11-27
上傳用戶：2467478207
Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The required precision is =0.00001, and the maximum iteration number N=25. Compare the number of iterations and the convergence of these two methods
標簽： Gauss-Seidel iterative following methods
上傳時間： 2016-02-06
上傳用戶：zmy123
本書特色 全面覆蓋了RHCT（Red Hat Certified Technician）、Comp TlA’s Linux+和LPl（Linux Professional Institute）Level l 三大Linux人證考試的內容和要點。 講解了重要的命令行工具（包括shell腳本與文本處理命令）以及最新的圖形界面管理工具和應用程序。 “理論與實踐密切相結合”，每章都附有復習題與可操作性強的實踐項目項，使得讀者可以在牢固掌握基礎知識的同時，在動手實踐能力上也能獲得較大的提高。 本書致力于Linux系統管理這一主題，為有志于在Lmux領域有所發展的讀者提供了一份不可多得的參考教材。
標簽： Linux Professional Technician Certified
上傳時間： 2013-12-26
上傳用戶：fxf126@126.com
卡內基·梅隆大學的軟件工程系列教材之六，系統編程（System－Level Programming）
上傳時間： 2016-02-11
上傳用戶：cx111111
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).
標簽： converts Toolbox complex logical
上傳時間： 2016-02-12
上傳用戶：a673761058
