Matrix, Numerical, and Optimization Methods in Science and Engineering (Hardcover) (ISBN-13: 9781108479097)

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 behaviour, 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
ISBN-10: 110847909X
ISBN-13: 9781108479097
Publisher: Cambridge University Press
Language: English
Published: 03/04/2021
Pages: 600
Format: Hardcover
Weight: 2.97lbs
Size: 9.61h x 6.69w x 1.56d

Review Citation(s):
Choice 03/01/2022