用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Numerical Analysis Using Sage; George A. Anastassiou,Razvan A. Mezei Textbook 2015 Springer International Publishing Switzerland 2015 Sage

[复制链接]
查看: 6680|回复: 38
发表于 2025-3-21 18:29:04 | 显示全部楼层 |阅读模式
书目名称Numerical Analysis Using Sage
编辑George A. Anastassiou,Razvan A. Mezei
视频video
概述First numerical analysis textbook using Sage.Does not require prior knowledge of Python programming.Includes all Sage code for ease of use for students
丛书名称Springer Undergraduate Texts in Mathematics and Technology
图书封面Titlebook: Numerical Analysis Using Sage;  George A. Anastassiou,Razvan A. Mezei Textbook 2015 Springer International Publishing Switzerland 2015 Sage
描述.This is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences. The primary aim of this text is to simplify understanding of the theories and ideas from a numerical analysis/numerical methods course via a modern programming language like Sage. Aside from the presentation of fundamental theoretical notions of numerical analysis throughout the text, each chapter concludes with several exercises that are oriented to real-world application. Answers may be verified using Sage. .The presented code, written in core components of Sage, are backward compatible, i.e., easily applicable to other software systems such as .Mathematica.®. Sage is open source software and uses Python-like syntax. Previous Python programming experience is not a requirement for the reader, though familiarity withany programming language is a plus. Moreover, the code can be written using any web browser and is therefore useful with Laptops, Tablets, iPhones, Smartphones, etc. All Sage code that is presented in the text is
出版日期Textbook 2015
关键词Sage Math; algorithms Sage; numerical analysis Sage; python algorithms; python syntax; textbook adoption
版次1
doihttps://doi.org/10.1007/978-3-319-16739-8
isbn_softcover978-3-319-38585-3
isbn_ebook978-3-319-16739-8Series ISSN 1867-5506 Series E-ISSN 1867-5514
issn_series 1867-5506
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

书目名称Numerical Analysis Using Sage影响因子(影响力)




书目名称Numerical Analysis Using Sage影响因子(影响力)学科排名




书目名称Numerical Analysis Using Sage网络公开度




书目名称Numerical Analysis Using Sage网络公开度学科排名




书目名称Numerical Analysis Using Sage被引频次




书目名称Numerical Analysis Using Sage被引频次学科排名




书目名称Numerical Analysis Using Sage年度引用




书目名称Numerical Analysis Using Sage年度引用学科排名




书目名称Numerical Analysis Using Sage读者反馈




书目名称Numerical Analysis Using Sage读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:30:16 | 显示全部楼层
发表于 2025-3-22 03:53:16 | 显示全部楼层
发表于 2025-3-22 07:22:27 | 显示全部楼层
Numerical Analysis Using Sage978-3-319-16739-8Series ISSN 1867-5506 Series E-ISSN 1867-5514
发表于 2025-3-22 12:42:36 | 显示全部楼层
George A. Anastassiou,Razvan A. MezeiFirst numerical analysis textbook using Sage.Does not require prior knowledge of Python programming.Includes all Sage code for ease of use for students
发表于 2025-3-22 13:12:39 | 显示全部楼层
发表于 2025-3-22 17:03:52 | 显示全部楼层
Solving Nonlinear Equations,In this chapter we’ll deal with finding (or rather approximating) the solution of an equation .(.) = 0. This is a very common problem in Applied Mathematics, but finding the exact solution is not always an easy task.
发表于 2025-3-23 00:22:48 | 显示全部楼层
Polynomial Interpolation,The process of finding a polynomial that passes through a given set of data points is called .. This is the topic of the current chapter.
发表于 2025-3-23 02:35:30 | 显示全部楼层
Numerical Differentiation,In this chapter we discuss different numerical approximation techniques for estimating the derivatives of functions.
发表于 2025-3-23 07:19:07 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-5 22:55
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表