Anulekha Dhara, Joydeep Dutta

Optimality Conditions in Convex Optimization

A Finite-Dimensional View

• Broschiertes Buch

Produktbeschreibung

This book explores an extremely important issue in convex optimization: optimality conditions. The text focuses on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization problem. The authors include examples, details of major results, and proofs of the main results.

Produktdetails

• Verlag: Bsp Books Pvt. Ltd.
• Seitenzahl: 444
• Erscheinungstermin: 31. Mai 2017
• Englisch
• Abmessung: 234mm x 156mm x 23mm
• Gewicht: 621g
• ISBN-13: 9781138115248
• ISBN-10: 113811524X
• Artikelnr.: 57054007

Autorenporträt

Anulekha Dhara earned her Ph.d. in IIT Delhi and subsequently moved to IIT Kanpur for her post-doctoral studies. Currently, she is a post-doctoral fellow in Mathematics at the University of Avignon, France. Her main area of interest is optimization theory. Joydeep Dutta is an Associate Professor of Mathematics at the Indian Institute of Technology, (IIT) Kanpur. His main area of interest is optimization theory and applications.

Inhaltsangabe

What Is Convex Optimization?. Tools for Convex Optimization. Basic
Optimality Conditions using the Normal Cone. Saddle Points, Optimality and
Duality. Enhanced Fritz John Optimality Conditions. Optimality without
Constraint Qualification. Sequential Optimality Conditions and Generalized
Constraint Qualification. Representation of the Feasible Set and KKT
Conditions. Weak Sharp Minima in Convex Optimization. Approximate
Optimality Conditions. Convex Semi-infinite Optimization. Convexity in
Non-Convex Optimization. Bibliography. Index.