Semismooth and smoothing Newton methods for nonlinear systems with complementarity constraints: adaptivity and inexact resolution

IB Gharbia, J Ferzly, M Vohralík, S Yousef - Journal of Computational and …, 2023 - Elsevier
We consider nonlinear algebraic systems with complementarity constraints stemming from
numerical discretizations of nonlinear complementarity problems. The particularity is that …

[PDF][PDF] Predicting the overall equipment efficiency of core drill rigs in mining using ANN and improving it using MCDM

K Balakrishnan, I Mani, S Durairaj - Eksploatacja i Niezawodność, 2023 - bibliotekanauki.pl
In this manuscript, an attempt has been made to predict and improve the overall equipment
effectiveness of core drill rigs. A combined Box–Jenkins and artificial neural network model …

A Neural Network Based on a Nonsmooth Equation for a Box Constrained Variational Inequality Problem

Y Wang, S Lin, J Zhang, C Qiu - Journal of Mathematics, 2024 - Wiley Online Library
The variational inequality framework holds significant prominence across various domains
including economic finance, network transportation, and game theory. In addition, a novel …

Adaptive inexact smoothing Newton method for nonlinear systems with complementarity constraints. Application to a compositional multiphase flow in porous media

J Ferzly - 2022 - theses.hal.science
We consider variational inequalities written in the form of partial differential equations with
nonlinear complementarity constraints. The discretization of such problems leads to …

[PDF][PDF] Eksploatacja i Niezawodnosc–Maintenance and Reliability

K Balakrishnana, I Manib… - Eksploatacja i …, 2023 - pdfs.semanticscholar.org
In mining sectors, selection of equipments is important for ensuring hassle free production
[80]. Important operations in mining involve drilling, loading and hauling. Core drill rigs are …