Convex Optimization and Feasibility Problems Publication Trend The graph below shows the total number of publications each year in Convex Optimization and Feasibility Problems.

In this paper, we consider the convergence rate of ADMM when applying to the convex optimization problems that the subdifferentials of the underlying functions are piecewise linear multifunctions, ...

Subsequently, the originally non-convex optimal control problem is reformulated into a series of convex optimization subproblems. Numerical simulations are conducted to verify the performance of the ...

In this note, we extend the algorithms Extra [13] and subgradient-push [10] to a new algorithm ExtraPush for consensus optimization with convex differentiable objective functions over a directed ...

To apply these results to time-varying convex optimization, we establish the strong infinitesimal contractivity of dynamics solving three canonical problems: monotone inclusions, linear ...

Title Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions Abstract The performance of optimization methods is often tied to the spectrum of the objective Hessian. Yet, ...