Optimality conditions in convex optimization : a finite-dimensional view /

Covering the current state of the art, this book explores an important and central issue in convex optimization: optimality conditions. It focuses on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization problem.

Bibliographic Details
Main Author: Dhara, Anulekha
Corporate Author: Taylor & Francis
Other Authors: Dutta, Joydeep
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton : CRC Press, ©2012.
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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245 1 0 |a Optimality conditions in convex optimization :  |b a finite-dimensional view /  |c Anulekha Dhara, Joydeep Dutta. 
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520 8 |a Covering the current state of the art, this book explores an important and central issue in convex optimization: optimality conditions. It focuses on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization problem. 
505 0 |a 1. What is convex optimization? -- 2. Tools for convex optimization -- 3. Basic optimality conditions using the normal cone -- 4. Saddle points, optimality, and duality -- 5. Enhanced Fritz John optimality conditions -- 6. Optimality without constraint qualification -- 7. Sequential optimality conditions -- 8. Representation of the feasible set and KKT conditions -- 9. Weak sharp minima in convex optimization -- 10. Approximate optimality conditions -- 11. Convex semi-infinite optimization -- 12. Convexity in nonconvex optimization. 
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