Robust reconstruction with nonconvex subset constraints

Abstract—In this paper, we propose a successive convex approximation framework for sparse optimization where the nonsmooth regularization function in the objective function is

There are natural obstacles for direct studies of non equilibrium quantum many-body systems: only a few solutions of the single-particle Schrödinger equation with

More and more Third World science and technology educated people are heading for more prosperous countries seeking higher wages and better working conditions.. This has of

Roughly, three main components need to be addressed: (i) the way uncertain data is modeled (e.g., with the use of scenarios), (ii) the selection of an appropriate robust

Besides we establish that the verication of the GOCs consists in a solution of a family of the partially linearized (with respect to the basic nonconvexities of the original

The proposed algorithm used for solving the probabilistic nonconvex constrained optimization problem defined by equations (1) to (3) with a fixed number N of function evaluations

An optimal control problem governed by heat equation with nonconvex constraints applied to selective laser melting process... An optimal control problem governed by heat equation

SD filtering for depth upsampling: Static guidance filtering con- volves an input image (a low-resolution depth image) with a weight function computed from a fixed guidance signal