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Könyv Convex Functional Analysis Andrew J. Kurdila

Convex Functional Analysis

Szerző: Andrew J. Kurdila, Michael Zabarankin
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Birkhauser Verlag AG
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 13-18 napon belül
20 672 Ft
This volume is dedicated to the fundamentals of convex functional analysis. It presents those aspect...

Információk a könyvről

Szerző
Andrew J. Kurdila, Michael Zabarankin
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2005
oldal
228
EAN
9783764321987
ISBN
3764321989
Enbook ID
01716073
Kiadó
Birkhauser Verlag AG
Súly
1160
Méretek
155 x 235 x 20

Teljes leírás

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.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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