Semidefinite programming

노트

1. Semidefinite Programming is a rapidly emerging area of mathematical programming.
2. Semidefinite programming is a relatively new field of optimization which is of growing interest for several reasons.
3. Semidefinite programming has been used in the optimization of complex systems.
4. We hope that our algorithm and techniques open the door to improved solvers for positive semidefinite programming and its applications.
5. Financial applications of semidefinite programming: a review and call for interdisciplinary research.
6. A Voronoi-based method for land-use optimization using semidefinite programming and gradient descent algorithm.
7. (2020) Exploiting low-rank structure in semidefinite programming by approximate operator splitting.
8. Modal dynamic residual-based model updating through regularized semidefinite programming with facial reduction.
9. We focus on readers with a basic background in continuous Optimization, but without a previous knowledge in Semidefinite Programming.
10. A short overview on the theoretical and algorithmic results in the case of nonlinear semidefinite programming is also given.
11. The linear semidefinite programming can be intended as linear programming over the cone of positive semidefinite matrices.