94 citations · 338 across the 29 of their papers we have counts for
30 papers
The best approximation tuple: an extension of the Cheney-Goldstein algorithm and results to the multiple sets case
Yair Censor, Daniel Reem
We extend the algorithm and several results published in the celebrated 1959 paper of Cheney and Goldstein about the best approximation pair (BAP) problem in two separate direction…
On the boundedness of infinite products of relaxed projections: perturbations resilience and dynamic string-averaging
Daniel Reem, Yair Censor
Very recently (2026), Bauschke and Tung extended from finite- to infinite-dimensional Hilbert spaces a result published by Meshulam in 1996 (following an earlier result of Aharoni-…
New results related to cutters and to an extrapolated block-iterative method for finding a common fixed point of a collection of them
Yair Censor, Daniel Reem, Maroun Zaknoon
Given a Hilbert space and a finite family of operators defined on the space, the common fixed point problem (CFPP) is to find a point in the intersection of the fixed point sets of…
The best approximation pair problem relative to two subsets in a normed space
Daniel Reem, Yair Censor
In the classical best approximation pair (BAP) problem, one is given two nonempty, closed, convex and disjoint subsets in a finite- or an infinite-dimensional Hilbert space, and th…
The alternating simultaneous Halpern-Lions-Wittmann-Bauschke algorithm for finding the best approximation pair for two disjoint intersections of convex sets
Yair Censor, Rafiq Mansour, Daniel Reem
Given two nonempty and disjoint intersections of closed and convex subsets, we look for a best approximation pair relative to them, i.e., a pair of points, one in each intersection…
A Generalized Block-Iterative Projection Method for the Common Fixed Point Problem Induced by Cutters
Yair Censor, Daniel Reem, Maroun Zaknoon
The block-iterative projections (BIP) method of Aharoni and Censor [Block-iterative projection methods for parallel computation of solutions to convex feasibility problems, Linear…