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ORCIDComputers & Mathematics with Applications, Volume 164
Volume 164, 2024
- Juanjuan Gao, Jiebao Sun, Shengzhu Shi:
Fractional-order cross-diffusion system for multiplicative noise removal. 1-11 - Amir Noorizadegan
, Chuin-Shan Chen, Roberto Cavoretto, Alessandra De Rossi:
Efficient truncated randomized SVD for mesh-free kernel methods. 12-20 - Xin Song, Qing Xia, Junseok Kim, Yibao Li:
An unconditional energy stable data assimilation scheme for Navier-Stokes-Cahn-Hilliard equations with local discretized observed data. 21-33 - Xia Ai, Wei Xu, Li-Dan Liao, Xiang Wang:
Optimized parameterized Uzawa methods for solving complex Helmholtz equations. 34-44 - Shuo Wang, Xiangcheng Zheng, Ning Du:
Finite element method for an optimal control problem governed by a time fractional wave equation. 45-66 - Zhoushun Zheng, Xinyue Ni, Jilong He:
Lagrange multiplier structure-preserving algorithm for time-fractional Allen-Cahn equation. 67-78 - Andrew P. Lawrence, Morten E. Nielsen, Bengt Fornberg:
Node subsampling for multilevel meshfree elliptic PDE solvers. 79-94 - Torsten Linß, Christos Xenophontos:
Balanced norm estimates for rp-finite element methods applied to singularly perturbed fourth order boundary value problems. 95-103 - Yan Wang, Zhi Qian:
Regularizing a two-dimensional time-fractional inverse heat conduction problem by a fractional Landweber iteration method. 104-115 - Alexey Chernov, Tung Le:
Analytic and Gevrey class regularity for parametric semilinear reaction-diffusion problems and applications in uncertainty quantification. 116-130 - Carlos Eduardo Rambalducci Dalla, Wellington Betencurte da Silva, Julio Cesar Sampaio Dutra, Marcelo José Colaço:
Online estimation of inlet contaminant concentration using Eulerian-Lagrangian method of fundamental solutions and Bayesian inference. 131-138 - Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee:
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. 139-149 - Sivalingam S. M, Pushpendra Kumar, V. Govindaraj:
A Chebyshev neural network-based numerical scheme to solve distributed-order fractional differential equations. 150-165
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