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arxiv: 1509.02255 · v1 · pith:ZGPT4WVFnew · submitted 2015-09-08 · 🧮 math.OC

Regularized HPE-type methods for solving monotone inclusions with improved pointwise iteration-complexity bounds

classification 🧮 math.OC
keywords iteration-complexitymethodmethodsregularizedhpe-typemonotonepointwisesolving
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This paper studies the iteration-complexity of new regularized hybrid proximal extragradient (HPE)-type methods for solving monotone inclusion problems (MIPs). The new (regularized HPE-type) methods essentially consist of instances of the standard HPE method applied to regularizations of the original MIP. It is shown that its pointwise iteration-complexity considerably improves the one of the HPE method while approaches (up to a logarithmic factor) the ergodic iteration-complexity of the latter method.

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