# MTH424: Convex Analysis (Fall 2020)

## Objectives:

At the end of this course the students will be able to understand the concept of Convex Analysis, convex sets, convex functions, Differential of the convex function. Developing ability to study the Hadamard-Hermite inequalities and their applications. Prepare students to be self independent and enhance their mathematical ability by giving them home work and projects.

## Course Contents

Convex sets and their properties, Convex hull and their properties, Best approximation therem. Convex functions, Basic definitions, properties, various generalizations, Differentiable convex functions, Hermite and Hadamard inequalities, Subgradient, Characterizations and applications in linear and nonlinear optimization.

## Online Resources

## Recommended books

- A. W. Roberts and D. E. Varberg, Convex Functions, Academic Press, New York, 1973. (Google Book Preview)
- Nonlinear Programming Theory and Algorithms, 3rd Edition, by M. S. Bazaraa, H. D. Sherali and C. M. Shetty.
- Convex Functions and Their Applications, A Contemporary Approach, by C. P. Niculescu and L. E. Persson.
- Convex Analysis and Monotone Operator Theory in Hilbert Spaces, by H. H. Bauschke and P. L. Combettes.