In this paper, we introduce an inexact regularized proximal Newton method (IRPNM) that does not require any line search …’ knowledge, is a novel contribution for proximal Newton methods. To highlight the efficiency of our approach, we provide …

scheduling in line-less mobile assembly systems. The proposed multi agent deep reinforcement learning algorithm uses proximal …

we show that this result makes it possible to adapt many proofs of properties of the proximal point algorithm PPA and its …

pointwise form. In addition, an optimization algorithm of proximal gradient type is analyzed. Under some assumptions, the …

We consider proximal Newton methods with an inexact computation of update steps. To this end, we introduce two … framework we find ourselves in while traditional inexactness criteria from smooth Newton or finite dimensional proximal Newton …