This cluster of papers covers advances in numerical optimization techniques, including topics such as benchmarking optimization software, semidefinite programming, global optimization, derivative-free optimization, and the application of sum of squares techniques. It also explores interior-point methods, quadratic programming, and mixed-integer nonlinear programs.
Optimization Software; Semidefinite Programming; Global Optimization; Nonlinear Programming; Interior-Point Methods; Derivative-Free Optimization; Quadratic Programming; Convex Optimization; Mixed-Integer Nonlinear Programs; Sum of Squares Techniques