• Sparse SDP Solver: This solver is an implementation of our fast and parallelizable iterative algorithm for solving large-scale sparse semidefinite programs. The solver is written by Abdulrahman Kalbat and Javad Lavaei (beta version, last updated on 12/18/2016).

  • OPF Solver: This solver aims to solve a convex relaxation for a large-scale Optimal Power Flow (OPF) Problem and then recover a near-global solution. The solver is written by Ramtin Madani, Morteza Ashraphijuo and Javad Lavaei (beta version, last updated on 10/12/2014).

  • ODC Solver: This solver aims to solve a convex relaxation for three types of the Optimal Distributed Control (ODC) problem: finite-horizon deterministic ODC, infinite-horizon deterministic ODC, and stochastic ODC. It also recovers a near-global controller if possible. The solver is written by Ghazal Fazelnia and Javad Lavaei (beta version, last updated on 08/3/2014).