A superlinearly convergent SSDP algorithm for nonlinear semidefinite programming
A superlinearly convergent SSDP algorithm for nonlinear semidefinite programming is a scholarly work, published in 2019 in ''Journal of Inequalities and Applications''. The main subjects of the publication include iterative numerical method, semidefinite programming, quadratically constrained quadratic program, definite matrix, large margin nearest neighbor, nonlinear system, Semidefinite embedding, linear programming, convergence, mathematical optimization, compressed sensing, nonlinear programming, quadratic programming, mathematics, Sequential quadratic programming, algorithm, and second-order cone programming. Abstract In this paper, authors present a sequential semidefinite programming (SSDP) algorithm for nonlinear semidefinite programming.