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

Kevin W. Cassel

ISBN 10: 110847909X / ISBN 13: 9781108479097

Published by Cambridge University Press, Cambridge, 2021

About this Item

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. Address vector and matrix methods necessary in numerical methods and optimization of linear systems with this practical, unified text. Perfect for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781108479097

Bibliographic Details

• Title: Matrix, Numerical, and Optimization Methods in Science and Engineering (Hardcover)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2021
• Language: English
• ISBN 10: 110847909X
• ISBN 13: 9781108479097
• Binding: Hardcover
• Condition: new

About this title

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.

About the Author

Author of the books, "Matrix, Numerical, and Optimization Methods in Science and Engineering" (Cambridge University Press 2021) and "Variational Methods with Applications in Science and Engineering" (Cambridge University Press 2013), Kevin W. Cassel is Professor of Mechanical and Aerospace Engineering and Professor of Applied Mathematics at the Illinois Institute of Technology (IIT).  He is a Fellow of the American Society of Mechanical Engineers and an Associate Fellow of the American Institute of Aeronautics and Astronautics, and his honors include IIT's University Excellence in Teaching Award (2008) and Ralph L. Barnett Excellence in Teaching Award (2007, 2001), the 2002 Alfred Noble Prize, and the Army Research Office Young Investigator Award (1998-2001).  Professor Cassel has been a visiting researcher at the University of Manchester and University College London, and is a visiting professor at the University of Palermo, Italy.  His research utilizes computational fluid dynamics in conjunction with advanced analytical methods to address problems in bio-fluids, unsteady aerodynamics, multiphase flow, and cryogenic fluid flow and heat transfer.