随书代码下载地址：http://download.csdn.net/detail/xinconan1992/9915007

《光滑粒子流体动力学-一种无网格粒子法》是2005年湖南大学出版社出版的图书，作者是韩旭。 文字可复制

王建新的《LabWindows/CVI虚拟仪器测试技术及工程应用》 由浅入深，从基础、提高到实际应用，力求读者能够快速掌握LabWindows/CVI的基本编程方法。基础篇介绍虚拟仪器的基本概念以及LabWindows/CVI开发环境、代码框架生成、断点调试、基本控件使用方法。提高篇讲解Toolslib扩展控件编程技术、数据采集技术、信号分析与处理技术、串行通信与动态数据交换技术、网络仪器设计技术。应用篇提供大量实例，包括Windows API函数使用、动态链接库设计、ActiveX调用、驱动器函数库开发和数据库操作。 PDF文档，清晰度一般，但还能看清楚。

里面文档对LDA算法有详细的推导过程，并带有仿真代码；同时还有一份关于LDA所运用的数学知识笔记。希望对你们学习和理解LDA算法有帮助！！！

Josh Patterson, Adam Gibson, "Deep Learning: A Practitioner's Approach" English | 2017 | ISBN: 1491914254 | Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you’ll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for different data types with DataVec, DL4J’s workflow tool Learn how to use DL4J natively on Spark and Hadoop

这个不是扫描版的，所有文字均可复制粘贴，内容清晰完整，并配有彩色插图，值得收藏。 该版相对于第三版，最大的改进是增加最新的内容，基础篇基于CentOS 7进行讲解，一如既往的延续鸟哥诙谐轻松的文风，不像传统的教材古板。读起来很是舒服，没有压力。简简单单的就把知识学到了。而且还有课后习题，方便读者对知识进行梳理。

An easy introduction to Computational Fluid Dynamics. No prior knowledge of CFD is necessary. Covers the basics - grid generation, numerics, incompressible flow and supersonic flow. Motivates the reader with many examples.

C++程序设计教程 (第二版) 钱能高清PDF版 [www.TopSage.com]

C++网络编程 卷1和卷2 （中文pdf版）

书是讲述下一代编程语言Erlang 的权威著作，主要涵盖顺序型编程、异常处理、编译和运行代码、并发编程、并发编程中的错误处理、分布式编程、多核编程等内容。本书将帮助读者在消息传递的基础上构建分布式的并发系统，免去锁与互斥技术的羁绊，使程序在多核CPU 上高效运行。本书讲述的各种设计方法和行为将成为设计容错与分布式系统中的利器。.