7 free online Stanford courses for EngineersConvex Optimization: This course concentrates on recognizing and solving convex optimization problems that arise in applications. You should have good ...

The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This course will provide a rigorous introduction to the rich ...

Mathematics of Operations Research, Vol. 38, No. 2 (May 2013), pp. 248-264 (17 pages) In this paper, we address the basic geometric question of when a given convex set is the image under a linear map ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

This is a preview. Log in through your library . Abstract In this paper, we study high-dimensional sparse Quadratic Discriminant Analysis (QDA) and aim to establish ...

The course will take an in-depth look at the main concepts and algorithms in convex optimization. The goal is to develop expert knowledge in duality and in the design and analysis of algorithms for ...