Anastassiou G Numerical Analysis Using Sage 2015
Category: eBooks
- views: 226
- date: 4 January 2023
- posted by: BeMyLove
Anastassiou G Numerical Analysis Using Sage 2015 | 5.67 MB
English | 320 Pages
Title: Numerical Analysis Using Sage (Springer Undergraduate Texts in Mathematics and Technology)
Author: George A. Anastassiou
Year: 2015
Description:
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 with any 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 openly available on SpringerLink.com.
DOWNLOAD:
https://rapidgator.net/file/b869fa2e1e8979fb3076ef8d0b5538f6/Anastassiou_G._Numerical_Analysis_Using_Sage_2015.rar
https://uploadgig.com/file/download/4947D39E413aBe30/Anastassiou_G._Numerical_Analysis_Using_Sage_2015.rar
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 with any 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 openly available on SpringerLink.com.
DOWNLOAD:
https://rapidgator.net/file/b869fa2e1e8979fb3076ef8d0b5538f6/Anastassiou_G._Numerical_Analysis_Using_Sage_2015.rar
https://uploadgig.com/file/download/4947D39E413aBe30/Anastassiou_G._Numerical_Analysis_Using_Sage_2015.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||