data_processing_and_simulation_techniques

说明：  Fortran95 彭国伦的源代码 Fortran95 彭国伦的源代码

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信息光学数字实验室（matlab版）随书源码(Optical digital laboratory (matlab version)，the book code)

sql学习必备材料，讲解通俗易懂，很有层次，内容丰富(This book is SQL learning materials and understanding very easy and very hierarchical and riching in content)

setting example in symbian OS C++

thin plate package example spTimer package example ggplot2 package example ...... for varying coefficient model

文件是微软官方的VB2010学习资料的源码，适合初学者在学习过程中参考学习。(The document is the VB2010 learning of Microsoft' s official source of information for beginners to refer to learning in the learning process.)

说明：  本书注重理论与实践相结合,通过实际案例和编程实现让读者理解理论在实践中的应用;同时还充分强 调“案例的实用性、程序的可模仿性”,且在案例程序中附有详细的注释。例如,投资组合管理、KMV模型计 算、期权定价模型与数值方法、风险价值VaR的计算等案例程序,读者可以直接使用或根据需要在源代码基 础上进行修改使用。(This book pays attention to the combination of theory and practice, through practical cases and programming to enable readers to understand the application of theory in practice; at the same time, it fully emphasizes "the practicality of cases, the imitatability of procedures", and has detailed notes in the case procedures. For example, case programs such as portfolio management, KMV model calculation, option pricing model and numerical method, VAR calculation can be used directly or modified on the basis of source code as required.)

说明：  本书既是一本全面而系统地讲解反汇编与逆向分析技术的安全类专著，又是一部深刻揭示C++内部工作机制的程序设计类著作。理论与实践并重，理论部分系统地讲解了C++的各种语法特性和元素的逆向分析方法和流程，重在授人以渔；实践部分通过几个经典的案例演示了逆向分析技术的具体实施步骤和方法。(This book is not only a comprehensive and systematic security monograph on disassembly and reverse analysis technology, but also a program design monograph that profoundly reveals the internal working mechanism of C + +. In the theory part, the reverse analysis methods and processes of various grammatical features and elements of C + + are systematically explained, with emphasis on teaching people to fish; in the practice part, the specific implementation steps and methods of reverse analysis technology are demonstrated through several classic cases.)

说明：  机器学习实战，python源码，KNN,决策树等实现(Machinie Learning IN ACTION)