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This is an introduction to BRDF Based Lighting PDF document

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本书是由c语言的设计者brian w. kernighan和dennis m. ritchie编写的一部介绍标准c语言及其程序设计方法的权威性经典著作。全面、系统地讲述了c语言的各个特性及程序设计的基本方法，包括基本概念、类型和表达式、控制流、函数与程序结构、指针与数组、结构、输入与输出、unix系统接口、标准库等内容。 　　本书的讲述深入浅出，配合典型例证，通俗易懂，实用性强，适合作为大专院校计算机专业或非计算机专业的c语言教材，也可以作为从事计算机相关软硬件开发的技术人员的参考书。 在计算机发展的历史上，没有哪一种程序设计语言像c语言这样应用如此广泛(C language book is written by the designers of brian w. kernighan and dennis m. ritchie write a description of the standard c language and the authority of the program design classic. Comprehensive and systematic about the c language of all the basic features and programming methods, including basic concepts, types and expressions, control flow, function and program structure, pointers and arrays, structures, input and output, unix system interface, the standard library and so on. Book about simple terms, with a typical example, user-friendly, practical, suitable as a computer professional or computer professional colleges of the c language materials can also be as engaged in computer-related hardware and software technology developed by staff reference. In the history of computer development, no programming language such as c language so widely used)

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：  神经网络是一种模拟人脑的神经网络，以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念，并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络，识别手写数字，并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络，观察已受训练的神经网络内部，尝试进一步改善 神经网络的性能，并加深对相关知识的理解。附录分别介绍了所需的微积分知识 和树莓派知识。 本书适合想要从事神经网络研究和探索的读者学习参考，也适合对人工智 能、机器学习和深度学习等相关领域感兴趣的读者阅读。(Python Neural Network Programming)

matlab建模与仿真带源码于群版，亲测非常全面，带书中例子和simpower使用手册(Matlab modeling and simulation)

说明：  python flask advance

说明：  本书为Tcl编程教程，为opensees编程提供基础。(This book is about tcl programming)

说明：  通过本书，读者不仅能掌握使用R及相关算法包来快速解决实际问题的方法，而且能从实际问题分析入手，到利用R进行求解，以及对挖掘结果进行分析的全面训练(Through this book, readers can not only master the method of using R and relevant algorithm packages to quickly solve practical problems, but also start from the analysis of practical problems to the comprehensive training of using R to solve problems and analyzing mining results)