Numerical Analysis Using Sage
George A Anastassiou author Razvan A Mezei author
Format:Hardback
Publisher:Springer International Publishing AG
Published:22nd Apr '15
Should be back in stock very soon
This hardback is available in another edition too:
- Paperback£39.99(9783319385853)
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 openly available on SpringerLink.com.
“The book covers the basics of nonlinear root finding, numerical differentiation and integration, interpolation, and the numerical solution of initial value problems for ordinary differential equations. … it should be accessible to any student with a background in single-variable calculus. … Numerical Analysis Using Sage is a clearly written, accessible introduction to numerical analysis that seamlessly weaves together the mathematics and computer implementation of the numerical methods it covers.” (Jason M. Graham, MAA Reviews, maa.org, May, 2016)
ISBN: 9783319167381
Dimensions: unknown
Weight: unknown
314 pages
2015 ed.