Introduction to the Tools of Scientific Computing
Language: English
Published by Springer, 2022
- Hardcover
- Used
Condition: Used
US$ 53.10
Quantity: 4 available
Add to basketItem description from seller
Zustand: Hervorragend | Seiten: 444 | Sprache: Englisch | Produktart: Bücher | 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.…
Seller Inventory # 40749648/1
- Title
- Introduction to the Tools of Scientific Computing
- Author
- Smith, Einar
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Hervorragend
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031169719
- ISBN 13
- 9783031169717
- Edition
- 2nd Edition
- Seller catalogs
- Bücher
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.
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