结果:找到“numerical‘”相关内容712个,排序为按回复时间降序,搜索更多相关帖子请点击“高级”
数值分析:中国科学院大学学习资料
1 个回复 - 773 次查看
数值分析:中国科学院大学学习资料,也是考研重要复习资料
教学用参考书:
1.李庆扬等,《数值分析》,清华大学出版社,北京,2008。
2.丁丽娟等,《数值计算方法》,北京理工大学,1998。
3. David Kinca ...
2022-5-11 13:57 - Lamarr-202110 - 现金交易版
Mastering Python for Finance(讲义+代码)
2 个回复 - 1091 次查看
Mastering Python for Finance(讲义+代码)
Mastering Python for Finance_code
1.Python for Financial Applications.pdf
2.The Importance of Linearity in Finance.pdf
3.Nonlinearity in Finance.pdf
...
2022-2-4 10:08 - lotus_sss - 现金交易版
Numerical Methods for Structured Markov Chains
3 个回复 - 1094 次查看
Intersecting two large research areas–numerical analysis and applied probability/quering theory–this book is a self -contained introduction to the numerical solution of structured Markov chains, whi ...
2019-7-16 07:13 - nivastuli - 博弈论
Numerical Methods for Finance
5 个回复 - 1801 次查看
Numerical Methods for Finance
by John A. D. Appleby, D. C. Edelman, and J. A. H. Miller
September 21, 2007
Chapman and Hall/CRC Reference - 312 Pages - 59 B/W Illustrations
ISBN 97815848892 ...
2016-3-28 04:08 - SleepyTom - 金融工程(数量金融)与金融衍生品
免費 Numerical Methods for Finance
10 个回复 - 2357 次查看
Numerical Methods for Finance (Chapman & Hall/CRC Financial Mathematics Series)John Miller (Editor), David Edelman
(Editor), John Appleby (Editor)
Publication Date: September 21, 2007 ...
2012-10-23 12:15 - martinnyj - 金融学(理论版)
Numerical Solution of Differential Equations
23 个回复 - 1620 次查看
Cambridge | English | 2018 | ISBN-10: 1107163226 | 293 Pages | PDF | 3.57 mb
by Zhilin Li (Author),? Zhonghua Qiao (Author),? Tao Tang (Author)
This introduction to finite difference and finit ...
2017-12-7 10:04 - igs816 - 经管书评
Numerical Linear Algebra: An Introduction
10 个回复 - 1264 次查看
Cambridge | English | 2018 | ISBN-10: 1107147131 | 418 pages | PDF | 3.67 mb
by Holger Wendland (Author)
This self-contained introduction to numerical linear algebra provides a comp ...
2017-12-7 11:22 - igs816 - 经管书评
Numerical Computing with Python
34 个回复 - 5887 次查看
English | December 21, 2018 | ISBN: 1789953634 | 676 pages | PDF
Understand, explore, and effectively present data using the powerful data visualization techniques of Python
Key Features
Use th ...
2019-1-20 23:14 - igs816 - python论坛