Matrix, Numerical, and Optimization Methods in Science and Engineering

✍ Scribed by Kevin W. Cassel

Publisher: Cambridge University Press
Year: 2021
Tongue: English
Leaves: 727
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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