贝叶斯网络的R语言实现，贝叶斯网络的R语言实现，贝叶斯网络的R语言实现，贝叶斯网络的R语言实现，贝叶斯网络的R语言实现。

PyQt官网开发的Demo，非常值得学习。直接使用IDE打开就可以了，启动文件是qtdemo文件下的qtdemo.py

（中文版）Introduction to lens design with practical ZEMAX examples-CN.480（ZEMAX中文使用手册2010年2月版）

该图书介绍了怎样在R中使用GGobi工具进行交互式的数据分析。GGOBI尤其适用于分析多维的数据，其可视化功能非常强大。

Wave-optics simulation is an immensely useful tool for many applications. The simulation techniques in this book are directly applicable to atmospheric imaging, astronomy, adaptive optics, free-space optical communications, and LADAR. In addition, many of the basic techniques are applicable to integrated optics and nonlinear, anisotropic, and optically active media. Numerical Simulation of Optical Wave Propagation is solely dedicated to wave-optics simulations. The book discusses digital Fourier transforms (FT), FT-based operations, multiple methods of wave-optics simulations, sampling requirements, and simulations in atmospheric turbulence. This book will benefit optical scientists and engineers at all levels as a guide for FT-based data analysis, imaging system analysis, and wave-optics simulations. Professors can use this book to augment their Fourier optics courses and for independent studies with students. Problem sets are given at the end of each chapter. Students will learn principles and techniques from this book that can be utilized throughout their careers in optics.

Graph Algorithms by Mark Needham and Amy E. Hodler Copyright © 2019 Amy Hodler and Mark Needham. All rights reserved. What’s in This Book This book is a practical guide to getting started with graph algorithms for developers and data scientists who have experience using Apache Spark™ or Neo4j. Although our algorithm examples utilize the Spark and Neo4j platforms, this book will also be helpful for understanding more general graph concepts, regardless of your choice of graph technologies. The first two chapters provide an introduction to graph analytics, algorithms, and theory. The third chapter briefly covers the platforms used in this book before we dive into three chapters focusing on classic graph algorithms: pathfinding, centrality, and community detection. We wrap up the book with two chapters showing how graph algorithms are used within workflows: one for general analysis and one for machine learning. At the beginning of each category of algorithms, there is a reference table to help you quickly jump to the relevant algorithm. For each algorithm, you’ll find: • An explanation of what the algorithm does • Use cases for the algorithm and references to where you can learn more • Example code providing concrete ways to use the algorithm in Spark, Neo4j, or both 图方法方面最新的参考书，本文理论实践兼备（看标题就知道了），内容高清无码书签完整诚不我欺，强烈推荐给需要的朋友！

Probability: Theory and Examples，by Durrent，概率论专业经典教材。答案很少见，特意贡献~~~ 教材电子版已更新至第四版，可以在Durrent‘s homepage下载~！

Durret的概率论第五版 Cambridge University Press 的正式版本，2019年的新书，概率论学习必备。

国外经典的FPGA资料。里面很全的PDF文件和代码。费了老大劲找到的。

使用examples编译成的window版本的可执行文件（包含24个例程，独立可运行包）和qwt.dll，有些是动态可以控制调整还有其他效果，本人截图就没做成gif了。