Ferrante Neri

Linear Algebra for Computational Sciences and Engineering (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 464
• Erscheinungstermin: 15. Juli 2016
• Englisch
• ISBN-13: 9783319403410
• Artikelnr.: 46924113

Autorenporträt

Ferrante Neri received a Master's degree and a PhD in Electrical Engineering from the Technical University of Bari, Italy, in 2002 and 2007 respectively. In 2007, he also received a PhD in Scientific Computing and Optimization from University of Jyväskylä, Finland. He was appointed Assistant Professor at the Department of Mathematical Information Technology at the University of Jyväskylä, Finland in 2007, and in 2009 as a Research Fellow with Academy of Finland. Neri moved to De Montfort University, United Kingdom in 2012, where he was appointed Reader in Computational Intelligence. Since 2013, he is Full Professor of Computational Intelligence Optimisation at De Montfort University, United Kingdom. He is also Visiting Professor at the University of Jyväskylä, Finland. Currently, he teaches linear algebra and discrete mathematics at De Montfort University. His research interests include algorithmics, metaheuristic optimisation, scalability in optimisation and large scale problems.

Inhaltsangabe

1. Basic Mathematical Thinking.- 2. Matrices.- 3. Systems of Linear Equations.- 4. Geometric Vectors.- 5. Complex Numbers and Polynomials.- 6. An Introduction to Geometric Algebra and Conics.- 7. An Overview of Algebraic Structures.- 8. Vector Spaces.- 9. An Introduction to Inner Product Spaces: Euclidean Spaces.- 10. Linear Mappings.- 11. An Introduction to Computational Complexity.- 12. Graph Theory.- 13. Applied Linear Algebra: Electrical Networks.- A. non-linear Algebra: An Introduction to Boolean Algebra.- Proofs of Theorems that Require Further Knowledge of Mathematics.- Appendix. Solutions to the Exercises.

Rezensionen

"The book is well written, structured, and very intuitive. Every concept is thoroughly introduced and theorems are rigorously proved. Definitions and proofs are explained in a clear and friendly way." (Ctirad Matonoha, zbMATH 1442.15001, 2020)

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