Ron Shefi

Efficient, Quantitative Numerical Methods for Statistical Image Deconvolution and Denoising

D. Russell Luke, C. Charitha, Ron Shefi, 2020, Topics in Applied Physics.

Rate of Convergence Analysis of Decomposition Methods Based on the Proximal Method of Multipliers for Convex Minimization

Marc Teboulle, Ron Shefi, M. Teboulle, 2014, SIAM J. Optim..

A Moving Balls Approximation Method for a Class of Smooth Constrained Minimization Problems

Marc Teboulle, Alfred Auslender, Ron Shefi, 2010, SIAM J. Optim..

On the rate of convergence of the proximal alternating linearized minimization algorithm for convex problems

Marc Teboulle, Ron Shefi, M. Teboulle, 2016, EURO J. Comput. Optim..

A dual method for minimizing a nonsmooth objective over one smooth inequality constraint

Marc Teboulle, Ron Shefi, M. Teboulle, 2016, Math. Program..

A globally linearly convergent method for pointwise quadratically supportable convex–concave saddle point problems

D. Russell Luke, Ron Shefi, D. R. Luke, 2017, 1702.08770.