Convex Functional Analysis (Hardcover)
Andrew J. Kurdila
Sold by Grand Eagle Retail, Mason, OH, U.S.A.
AbeBooks Seller since 12 October 2005
New - Hardcover
Condition: New
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Mason, OH, U.S.A.
AbeBooks Seller since 12 October 2005
Condition: New
Quantity: 1 available
Add to basketHardcover. The book is dedicated to functional and convex analysis techniques for the study of recent problems in optimal control and mechanics. It provides a rigorous foundation for the application of variational principles. Through the unifying approach of convex analysis, the text discusses four general types of applications: contact problems in mechanics, control of distributed parameter systems, control of incompressible flow, and identification problems in mechanics. It also considers extensions of convex analysis with application to the homogenization of steady state heat conduction equations, approximation theory in identification problems, and nonconvex variational problems in mechanics. Special emphasis is given to techniques for solving convex optimization problems subject to constraints. Overview of Book This book evolved over a period of years as the authors taught classes in var- tional calculus and applied functional analysis to graduatestudents in engineering and mathematics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9783764321987
This volume is dedicated to the fundamentals of convex functional analysis. It presents those aspects of functional analysis that are extensively used in various applications to mechanics and control theory. The purpose of the text is essentially two-fold. On the one hand, a bare minimum of the theory required to understand the principles of functional, convex and set-valued analysis is presented. Numerous examples and diagrams provide as intuitive an explanation of the principles as possible. On the other hand, the volume is largely self-contained. Those with a background in graduate mathematics will find a concise summary of all main definitions and theorems.
Contents:
Classical Abstract Spaces in Functional Analysis
Linear Functionals and Linear Operators
Common Function Spaces in Applications
Differential Calculus in Normed Vector Spaces
Minimization of Functionals
Convex Functionals
Lower Semicontinuous Functionals
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