9783030213237-3030213234-Linear Algebra for Computational Sciences and Engineering

Linear Algebra for Computational Sciences and Engineering

ISBN-13: 9783030213237
ISBN-10: 3030213234
Edition: 2nd ed. 2019
Author: Ferrante Neri
Publication date: 2020
Publisher: Springer
Format: Paperback 599 pages
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Book details

ISBN-13: 9783030213237
ISBN-10: 3030213234
Edition: 2nd ed. 2019
Author: Ferrante Neri
Publication date: 2020
Publisher: Springer
Format: Paperback 599 pages

Summary

Linear Algebra for Computational Sciences and Engineering (ISBN-13: 9783030213237 and ISBN-10: 3030213234), written by authors Ferrante Neri, was published by Springer in 2020. With an overall rating of 4.0 stars, it's a notable title among other AI & Machine Learning (Data Processing, Databases & Big Data, Engineering, Applied, Mathematics, Computer Science) books. You can easily purchase or rent Linear Algebra for Computational Sciences and Engineering (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory.
It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.

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