bp

说明：  python灰帽子入门，主要讲反汇编以及IDAPRO的插件编写(python for security for beginners)

C++ Neural Networks and Fuzzy Logic

ssd1 exercise1 practial答案(ssd1 exercise1 practial answer)

利用Python检验一组数据是否为正态分布 用KS-test(The use of a set of Python test whether the data are normally distributed with KS-test)

《运筹学·第三版》清华大学出版社书籍书籍(Operational research, Third Edition, Tsinghua University press)

Programming Computer Vision with Python by Jan Erik Solem

基于Visual C++的激光雷达数据读取和处理程序。激光雷达型号为LMS511(Based on Visual C++ lidar data reading and processing procedures. Model LMS511 laser radar)

本书结合作者的研究工作，详细介绍了基于线性矩阵不等式的不确定系统鲁棒控制的概念、理论及设计方法。主要内容包括目前应用广泛的线性矩阵不等式的概念、理论、算法及相关软件；基于线性矩阵不等式处理方法的线性时不变系统性能分析和综合方法；重点介绍了不确定系统的模型、鲁棒性能分析、鲁棒H2/H∞控制、LMI区域及相应的区域极点配置方法、结合二次型性能指标的保性能控制、鲁棒方差控制等。 (This book combines the author' s research work, described in detail based on the linear matrix inequalities robust control of uncertain systems of concepts, theories and design methods. Including the current application of the main contents of a wide range of linear matrix inequalities of the concepts, theories, algorithms and related software treatment based on linear matrix inequalities linear time-invariant system performance analysis and synthesis methods focuses on the uncertain system model, Robust performance analysis, robust H2/H ∞ control, LMI region and the corresponding regional pole placement method, combined with quadratic performance index of the guaranteed cost control, Robust variance control.)

说明：  LS dyna 二次开发所用的学习资料。Fortran 语言(the fortran used for user define in LS dyna)

介绍电烙铁的使用，非常好的资料。值得学习和收场。(introduction of dianlaotie,it very good information of dianlaotie. useful to study and get.)