Journal of Global Optimization

, Volume 36, Issue 1, pp 115-125

First online:

A Regularization Method for the Proximal Point Algorithm

  • Hong-Kun XuAffiliated withSchool of Mathematical Sciences, University of KawZulu-Natal Email author 

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access


A regularization method for the proximal point algorithm of finding a zero for a maximal monotone operator in a Hilbert space is proposed. Strong convergence of this algorithm is proved.


maximal monotone operator projection proximal point algorithm regularization method resolvent identity strong convergence


49J40 47J20 65J15