Convexity.and.Optimization.in.Rn

Description

A comprehensive introduction to convexity and optimization in Rn

This book presents the mathematics of finite dimensional constrained optimization problems. It provides a basis for the further mathematical study of convexity, of more general optimization problems, and of numerical algorithms for the solution of finite dimensional optimization problems. For readers who do not have the requisite background in real analysis, the author provides a chapter covering this material. The text features abundant exercises and problems designed to lead the reader to a fundamental understanding of the material.

Convexity and Optimization in Rn provides detailed discussion of:

Requisite topics in real analysis
Convex sets
Convex functions
Optimization problems
Convex programming and duality
The simplex method
A detailed bibliography is included for further study and an index offers quick reference. Suitable as a text for both graduate and undergraduate students in mathematics and engineering, this accessible text is written from extensively class-tested notes.

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1. Ebooks list page : 312
2. Convexity and Optimization in Rn
3. Convexity and Optimization in Rn
4. Handbook of Generalized Convexity and Generalized Monotonicity (NONCONVEX OPTIMIZATION AND ITS APPLICATIONS)
5. Polynomial Convexity
6. Complex Convexity and Analytic Functionals
7. Lars Hörmander - Notions of Convexity
8. Notions of Convexity (Modern Birkhäuser Classics)
9. Notions of Convexity (Modern Birkh?user Classics)
10. Optimization Theory and Methods: Nonlinear Programming (Springer Optimization and Its Applications)
11. Large-Scale Nonlinear Optimization (Nonconvex Optimization and Its Applications)
12. Large-Scale Nonlinear Optimization (Nonconvex Optimization and Its Applications)
13. Large-Scale Nonlinear Optimization (Nonconvex Optimization and Its Applications)
14. Optimization and Control with Applications (Applied Optimization)
15. Optimization and Control with Applications (Applied Optimization)
16. [request_ebook] Handbook of Test Problems in Local and Global Optimization (Nonconvex Optimization and Its Applications)