Random-Number-Generation-and-Monte-Carlo-Methods

说明：  初学者学习Fortran的课件，蛮有用的(Fortran for beginners learning courseware, giving a pleasing use)

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.)

Installing the IMS Fortran windows

说明：  opengl入门练习题，有详细说明 实验1 实验环境的熟悉(2) 实验2 OpenGl中图形的绘制(4) 实验3 基本图元绘制(6)(Introductory exercises)

称它为“驱动程序超级宝典“一点也不过分，因为它是被译为中文的MSDN DDK文档。这个文档不是我翻译的，我只不过将它编辑了一下。翻译它的同志是个高手，非常专业，在此先谢谢他给我们作的工作。 ( Called it is "the driver super precious book" not excessively, because it is translated for Chinese MSDN the DDK documents. This documents are not I translate, I only have edited it. Translates it comrade is a master, extremely specialized, first thanks him in this the work which does to us. )

用于ANSYS进行模态分析的代码，可以直接运行得到坎贝尔图(ANSYS code for modal analysis can be run directly get Campbell diagram)

说明：  北航《系统辨识与自适应控制MATLAB仿真》(Beihang "system identification and adaptive control Mtalab simulation" example source code)

SharePoint列表相关内容，扩展插件等。(SharePoint list related content, extension plug-ins, etc.)

ns2网络协议模拟仿真器的说明文档~ 附实验例子(ns2 network protocol simulation devices attached documentation ~ experimental examples)

图书 伦敦商学院 基于excel和vba的高级金融建模(Advanced financial modeling based on Excel and VBA)