Get Free Shipping on orders over $79
Introduction to the Tools of Scientific Computing : Texts in Computational Science and Engineering - Einar Smith
eTextbook alternate format product

Instant online reading.
Don't wait for delivery!

Introduction to the Tools of Scientific Computing

By: Einar Smith

Paperback | 29 October 2023 | Edition Number 2

At a Glance

Paperback


$84.99

or 4 interest-free payments of $21.25 with

 or 

Ships in 5 to 7 business days

The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approaches, it does not focus on any specific language, but aims to explain the underlying ideas.

Typically, new concepts are first introduced in the particularly user-friendly Python language and then transferred and extended in various programming environments from C/C++, Julia and MATLAB to Maple and Mathematica. This includes various approaches to distributed computing. By examining and comparing different languages, the book is also helpful for mathematicians and practitioners in deciding which programming language to use for which purposes.

At a more advanced level, special tools for the automated solution of partial differential equations using the finite element method are discussed. On a more experimental level, the basic methods of scientific machine learning in artificial neural networks are explained and illustrated.


Industry Reviews
"This book covers a lot of ground, and overall it does so very well. ... On nearly every page, the reader can find numerous code snippets ... that are explained in great detail. ... I can warmly recommend it to my colleagues and STEM students as a welcome resource to help them with this decision tree." (Andreas Mang, SIAM Review, Vol. 64 (2), June, 2022)

More in Numerical Analysis

Introductory Numerical Analysis - Griffin Cook
Mathematical Modeling and Simulation - Bernard Geurts
Impact Dynamics : A Numerical Approach - Sunil K.  Sinha
Numerical Partial Differential Equations - James Adler
Computational Optimization - Narinder Kaur
Introduction to Numerical Analysis - Stella Lee
From Numbers To Analysis : Constructions and Properties - Inder K  Rana