model-predictive-control

说明：  包括Hypermesh的使用教程和基本案例，用于有限元的网格划分，尤其是广泛使用的非线性有限元软件Abaqus。(Including Hypermesh tutorials and basic cases, used for finite element meshing, especially the widely used nonlinear finite element software Abaqus.)

Jboss_as_7_官方_配置手册高清pdf版(Jboss_as_7_ official definition pdf version _ Configuration Guide)

本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)

说明：  学习iphone程序开发的重要书籍，上面有许多案例(Iphone application development to learn the importance of books, there are many cases of the above)

计算流体力学入门书籍，英文pdf，从问题模型到后处理都讲了，适合自学，已制作目录书签(Jiyuan Tu, Guan Heng Yeoh and Chaoqun Liu (Eds.)-Computational Fluid Dynamics. A Practical Approach-Butterworth Heinemann (2012))

说明：  北航数值分析课件全套，包含考试题和大作业的要求。(Beihang numerical analysis courseware)

一篇关于能量检测很经典的文章，可以在初学CR能量检测时用到。(Classic article on the energy detection of articles, energy detection can be used when CR beginner.)

This is a udf file of phi_alpha turbulence model of university of manchester for running if Ansys FLUENT. This model is based on v2f turbulence model.

说明：  control system engineering ogata

深度信念网络工具箱，用python写的，包含了受限波尔兹曼机的程序(deep belief network toolbox, including Restricted Boltzmann Machines, python edition)