[赤裸裸的统计学].曹槟.扫描版

顶级知名公司内部的培训资料，很好的资料培训资料，很好的资料(top company material .....................)

通信系统仿真原理与无线应用，matlab仿真参考书(Communication System Simulation Theory and wireless applications, matlab simulation of reference books)

说明：  电力系统可靠性教材，电力系统可靠性评估分析(Power System Reliability Textbook, Power System Reliability Assessment and Analysis)

说明：  Python是一种计算机程序设计语言。是一种面向对象的动态类型语言，最初被设计用于编写自动化脚本(shell)，随着版本的不断更新和语言新功能的添加，越来越多被用于独立的、大型项目的开发。(Python is a computer programming language. As an object-oriented dynamic typed language, it was originally designed to write automated scripts (shells). With the updating of versions and the addition of new language functions, it is increasingly used in the development of independent, large-scale projects.)

Mark Filipiak的网格生成，是网格生成的经典著作。包含结构与非结构网格，以及自适应网格。(Mesh generation of Mark Filipiak, is a classic work of grid generation. Including structured and unstructured meshes, and adaptive mesh.)

51CTO下载-第05章用户设备配置.pdf(51CTO downloads- Chapter 05 user device configuration pdf.)

这本书涵盖了UC Berkeley秋季的算法课程“Algorithm In The Real World”的各种算法笔记。其中包括压缩算法，密码算法，N-boby模拟，生物学匹配模式，索引和聚类等。是一本比较全面的介绍算法在实际世界中相关应用的书。(This book covers the fall of the algorithm UC Berkeley course " Algorithm In The Real World" notes a variety of algorithms. These include compression algorithms, cryptographic algorithms, N-boby simulation, biology matching pattern, index, and clustering and so on. Is a more comprehensive introduction to the relevant algorithms in the real world application of the book.)

说明：  提高雷达距离分辨率，内部有大量的实验结果，证明算法的可行性。(In order to improve the range resolution of radar, there are a lot of experimental results, which prove the feasibility of the algorithm.)

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.)

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)