Matrix, Numerical, and Optimization Methods in Science and Engineering (Hardcover)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	March 2021
Authors:	Kevin W. Cassel
Dimensions:	230 x 150 x 45mm (L x W x T)
Format:	Hardcover
Pages:	600
ISBN-13:	978-1-108-47909-7
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics
LSN:	1-108-47909-X
Barcode:	9781108479097

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