Matrix, Numerical, and Optimization Methods in Science and Engineering

Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text.

Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions.

Explores the dynamical systems theory used to describe and characterize system behavior, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods.

Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.

Author: Kevin W. Cassel
Publisher: Cambridge University Press
Published: 03/04/2021
Pages: 600
Binding Type: Hardcover
Weight: 2.97lbs
Size: 9.61h x 6.69w x 1.56d
ISBN: 9781108479097

About the Author
Cassel, Kevin W.: - Kevin W. Cassel is Professor of Mechanical and Aerospace Engineering and Professor of Applied Mathematics at the Illinois Institute of Technology. He is also an Associate Fellow of the American Institute of Aeronautics and Astronautics.

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