Adaptive inexact smoothing Newton method for a nonconforming discretization of a variational inequality

Gharbia, Ibtihel Ben; Joëlle, Ferzly,; Vohralı́k, Martin; Yousef, Soleiman

doi:10.1016/j.camwa.2022.11.031

Cited by 4 publications

(1 citation statement)

References 58 publications

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“…Conjugate gradient method is used to provide solutions for linear systems [32]. Conjugate gradient method needs a lot of cycles for reaching minimization, which limits its Newton method for identifying local zeros, maxima and minima.…”

Section: For Prediction Model Development Advanced Neural Network Suc...mentioning

confidence: 99%

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

Balakrishnan¹,

Ilangkumaran²,

Sankaran³

2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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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 was used to develop a three parameter model (drill pushing pressure, drill penetration rate & average pillar drill pit cycle time) for predicting effectiveness. the overall equipment efficiency of core drill rigs. The values of mean average percentage error, root mean square error, normalized root mean square error, men bias error, normalized mean biased error and coefficient of determination values were found to be 9.462%, 17.378%, 0.194, 0.96%, 0.0014 and 0.923. Empirical relationships were developed between the input and output parameters and its effectiveness were evaluated using analysis of variance. For attaining 74.9% effectiveness, the optimized values of pushing pressure, penetration rate and average pillar drill pit cycle time were predicted to be 101.7 bar, 0.94 m/min and 272 min, which was validated. Interactions, perturbations and sensitivity analysis were conducted.

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Section: For Prediction Model Development Advanced Neural Network Suc...mentioning

confidence: 99%

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

Balakrishnan¹,

Ilangkumaran²,

Sankaran³

2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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Stokes flow with Tresca boundary condition: a posteriori error analysis

Agroum,

Djoko,

Koko

et al. 2024

Calcolo

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Discontinuous Galerkin schemes for Stokes flow with Tresca boundary condition: iterative a posteriori error analysis

Djoko,

Sayah

2024

Adv Comput Math

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In two dimensions, we propose and analyse an iterative a posteriori error indicator for the discontinuous Galerkin finite element approximations of the Stokes equations under boundary conditions of friction type. Two sources of error are identified here, namely; the discretisation error and the linearization error. Under a smallness assumption on data, we prove that the devised error estimator is reliable. Balancing these two errors is crucial to design an adaptive strategy for mesh refinement. We illustrate the theory with some representative numerical examples.

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Adaptive inexact smoothing Newton method for a nonconforming discretization of a variational inequality

Cited by 4 publications

References 58 publications

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

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

Stokes flow with Tresca boundary condition: a posteriori error analysis

Discontinuous Galerkin schemes for Stokes flow with Tresca boundary condition: iterative a posteriori error analysis

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