Advanced Linear Algebra for Engineers with MATLAB

Sohail A. Dianat

ISBN 10: 1420095234 / ISBN 13: 9781420095234

Verlag: CRC Press, 2009

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - Designed to elevate the analytical and problem-solving skills of engineering students, this text provides systematic instruction that will enable students to make full use of the advanced capacities that MATLAB® provides. Based on the applied experience of two leading industry consultants in signal and image processing and circuit analysis, this textbook is designed to support the highly regarded courses taught by the authors at RIT. Offering a broad selection of progressive exercises and MATLAB problems, each chapter features carefully chosen examples that demonstrate underlying ideas at work in practical scenarios. A complete solutions manual is provided for qualifying instructors. Bestandsnummer des Verkäufers 9781420095234

Bibliografische Details

Titel: Advanced Linear Algebra for Engineers with ...

Verlag: CRC Press

Erscheinungsdatum: 2009

Einband: Buch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB® provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences.

Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book:

• Outlines the basic concepts and definitions behind matrices, matrix algebra, elementary matrix operations, and matrix partitions, describing their potential use in signal and image processing applications
• Introduces concepts of determinants, inverses, and their use in solving linear equations that result from electrical and mechanical-type systems
• Presents special matrices, linear vector spaces, and fundamental principles of orthogonality, using an appropriate blend of abstract and concrete examples and then discussing associated applications to enhance readers’ visualization of presented concepts
• Discusses linear operators, eigenvalues, and eigenvectors, and explores their use in matrix diagonalization and singular value decomposition
• Extends presented concepts to define matrix polynomials and compute functions using several well-known methods, such as Sylvester’s expansion and Cayley-Hamilton
• Introduces state space analysis and modeling techniques for discrete and continuous linear systems, and explores applications in control and electromechanical systems, to provide a complete solution for the state space equation
• Shows readers how to solve engineering problems using least square, weighted least square, and total least square techniques
• Offers a rich selection of exercises and MATLAB® assignments that build a platform to enhance readers’ understanding of the material

Striking the appropriate balance between theory and real-life applications, this book provides both advanced students and professionals in the field with a valuable reference that they will continually consult.

Über die Autorin bzw. den Autor:

Dianat, Sohail A.; Saber, Eli