What are some recent advances in non-convex optimization research? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights.

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

The multi-basis graph encoding method is a novel quantum ... enables HOLO's optimization method to better address non-convex optimization problems. Traditional variational quantum algorithms ...

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 ...

At the International Workshop on Combinatorial Image Analysis, held in Brno, Czech Republic, our URGE To Compute team received the Best Student Paper Award for their presentation, "On Intersection ...

linear programming problems and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and ...