Linear Algebra for Computational Sciences and Engineering Linear Algebra for Computational Sciences and Engineering

Linear Algebra for Computational Sciences and Engineering

    • 59,99 €
    • 59,99 €

Publisher 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 needa 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.

GENRE
Computing & Internet
RELEASED
2019
26 July
LANGUAGE
EN
English
LENGTH
599
Pages
PUBLISHER
Springer International Publishing
SIZE
22
MB

More Books by Ferrante Neri

Linear Algebra for Computational Sciences and Engineering Linear Algebra for Computational Sciences and Engineering
2016
Applications of Evolutionary Computation Applications of Evolutionary Computation
2011
Evolutionary Based Solutions for Green Computing Evolutionary Based Solutions for Green Computing
2011
Applications of Evolutionary Computing Applications of Evolutionary Computing
2009
Applications of Evolutionary Computation Applications of Evolutionary Computation
2010