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 ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

HOUSTON – (Feb. 9, 2022) – Rice University computer scientist Anastasios Kyrillidis has won a National Science Foundation CAREER Award to explore the theory and design of non-convex optimization ...

Co., Ltd. recently submitted a patent application titled "An Optimization Method, Device, and Medium for Circuit Break Prevention in AI Computing Architecture." This patent focuses on addressing ...

A Bregman function is a strictly convex, differentiable function that induces a well-behaved distance measure or D-function on Euclidean space. This paper shows that, for every Bregman function, there ...

We describe an algorithm for linear and convex quadratic programming problems that uses power series approximation of the weighted barrier path that passes through ...