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Introduction to applied linear algebra with MATLAB

Parametry

  • 517 stron
  • 19 godzin czytania

Więcej o książce

This book serves as both an introductory and advanced course in applied linear algebra, targeting mathematicians, computer scientists, engineers, and scientists. It offers a gentle introduction to scientific computing problems and the diverse methods for solving them. Each numerical method is presented through examples and geometric motivation, followed by a concise computation process, mathematical derivation, and relevant theoretical discussions. To enhance teaching flexibility, chapters and sections start with basic material and progressively advance to more complex concepts. Applications of linear systems and eigenvalue problems are explored, exposing students to theoretical, applied, and numerical mathematics across various disciplines. Practical methods are demonstrated through MATLAB examples, guiding users from the basics to more advanced features. The book is particularly beneficial for juniors and seniors in mathematics, computer science, engineering, and physics, and offers valuable insights for intermediate and advanced users transitioning from earlier versions to MATLAB 7.4.

Zakup książki

Introduction to applied linear algebra with MATLAB, Rizwan Butt

Język
Rok wydania
2008
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Tytuł
Introduction to applied linear algebra with MATLAB
Język
angielski
Wydawca
Heldermann
Rok wydania
2008
Liczba stron
517
ISBN10
3885384078
ISBN13
9783885384076
Seria
Tagi
Opis
This book serves as both an introductory and advanced course in applied linear algebra, targeting mathematicians, computer scientists, engineers, and scientists. It offers a gentle introduction to scientific computing problems and the diverse methods for solving them. Each numerical method is presented through examples and geometric motivation, followed by a concise computation process, mathematical derivation, and relevant theoretical discussions. To enhance teaching flexibility, chapters and sections start with basic material and progressively advance to more complex concepts. Applications of linear systems and eigenvalue problems are explored, exposing students to theoretical, applied, and numerical mathematics across various disciplines. Practical methods are demonstrated through MATLAB examples, guiding users from the basics to more advanced features. The book is particularly beneficial for juniors and seniors in mathematics, computer science, engineering, and physics, and offers valuable insights for intermediate and advanced users transitioning from earlier versions to MATLAB 7.4.