**Linear Algebra for Computational Sciences and Engineering**

Springer | Theoretical Computer Science | Aug 16, 2016 | ISBN-10: 3319403397 | 464 pages | pdf | 8.5 mb

Authors: Neri, Ferrante

*Covers all aspects of linear algebra from the perspective of computational science and engineering*

Provides both a technical approach and an informal interpretation of mathematics

Includes examples with definitions and theorems

Presents a chapter where the study of an electrical network is shown as an algebraic exercise

Provides both a technical approach and an informal interpretation of mathematics

Includes examples with definitions and theorems

Presents a chapter where the study of an electrical network is shown as an algebraic exercise

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.

**Number of Illustrations and Tables**

8 b/w illustrations

**Topics**

Mathematics of Computing

Appl. Mathematics / Computational Methods of Engineering

Linear and Multilinear Algebras, Matrix Theory

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