Numerical Recipes - The Art of Scientific Computing(3rd) 英文无水印pdf 第3版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

Numerical Recipes 3rd Edition: The Art of Scientific Computing 科学计算艺术第二版第三版C++、无水印清晰版。附带相对应的源代码。以下为该书英文简介： Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular.

最新最全(20180903)Robert A.Day 的 【科技论文写作与发表】的书籍，包含中 英文版本，可以结合起来阅读。内容包含如下（高清pdf ，带目录标签，原始无第三方笔记）： How to Write and Publish a Scientific Paper(8th 2016) Robert A.day 科技论文写作与发表教程(6th 2006) Robert A.day

This book tells you how to write scientific articles or papers in a professional way, and how to present your findings to the others efficiently.

C++ 产生各种随机数的方法，简单适用，只需要添加头文件

享受和正版一样的功能.解压到软件安装的文件夹中，再重新启动机器

A primer on wavelet and their scientific applications 适合初学者的讲义

如何撰写和发表SCI论文（英文版）：本书旨在帮助理工科学生和科研人员提高科技论文写作能力，使其论文更容易被国际期刊接收和发表。

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib By 作者: Robert Johansson ISBN-10 书号: 1484242459 ISBN-13 书号: 9781484242452 Edition 版本: 2nd ed. 出版日期: 2018-12-25 pages 页数: (700 ) Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Cover Front Matter 1. Introduction to Computing with Python 2. Vectors, Matrices, and Multidimensional Arrays 3. Symbolic Computing 4. Plotting and Visualization 5. Equation Solving 6. Optimization 7. Interpolation 8. Integration 9. Ordinary Differential Equations 10. Sparse Matrices and Graphs 11. Partial Differential Equations 12. Data Processing and Analysis 13. Statistics 14. Statistical Modeling 15. Machine Learning 16. Bayesian Statistics 17. Sinal Processing 18. Data Input and Output 19. Code Optimization

MIT Athena Scientific 出版丛书，包括： 1. Constrained Optimization and Lagrange Multiplier Methods 2. Convex Analysis and Optimization 3. Dynamic Programming and Optimal Control 4. Introduction to Linear Optimization 5. Introduction to Probability 6. Network Optimization Continuous and Discrete Models 7. Neuro-Dynamic Programming 8. Nonlinear Programming 9. Parallel and Distributed Computation Numerical Methods 10. Stochastic Optimal Control The Discrete Time Case