Documents dont l'auteur est "Laforest, Marc"

Marc LaforestDépartement de mathématiques et de génie industrielVoir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal

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2024

Hichmani, M., Laforest, M., & Zaoui, E. M. (avril 2023). Mixed finite element method in 3D for a nonlinear eddy current problem [Communication écrite]. 9th International Conference on Modeling, Simultation and Appllied Optimization (ICMSAO 2023), Marrakesh,, Morocco. Publié dans AIP Conference Proceedings, 3034(1). Lien externe

Aldirany, Z., Cottereau, R., Laforest, M., & Prudhomme, S. (2024). Multi-level neural networks for accurate solutions of boundary-value problems. Computer Methods in Applied Mechanics and Engineering, 419, 116666 (23 pages). Lien externe

Aldirany, Z., Cottereau, R., Laforest, M., & Prudhomme, S. (2024). Operator approximation of the wave equation based on deep learning of Green's function. Computers & Mathematics with Applications, 159, 21-30. Lien externe

2023

Paquette-Rufiange, A., Prudhomme, S., & Laforest, M. (2023). Optimal design of validation experiments for the prediction of quantities of interest. Computer Methods in Applied Mechanics and Engineering, 414, 27 pages. Lien externe

2022

De Sousa Alves, B., Laforest, M., & Sirois, F. (2022). 3-D Finite-Element Thin-Shell Model for High-Temperature Superconducting Tapes. IEEE Transactions on Applied Superconductivity, 32(3), 1-11. Lien externe

Kheradmand, E., Laforest, M., & Prudhomme, S. (2022). A mathematical framework for the analysis and comparison of contact detection methods for ellipses and ellipsoids. Computational Particle Mechanics, 9(6), 1153-1203. Lien externe

Kardhashi, E., Laforest, M., & LeFloch, P. G. (2022). The mathematical theory of splitting-merging patterns in phase transition dynamics. Communications in Partial Differential Equations, 47(7), 1339-1393. Lien externe

Aldirany, Z., Cottereau, R., Laforest, M., & Prudhomme, S. (2022). Optimal error analysis of the spectral element method for the 2D homogeneous wave equation. Computers & Mathematics With Applications, 119, 241-256. Lien externe

de Sousa Alves, B., Lahtinen, V., Laforest, M., & Sirois, F. (2022). Thin-shell approach for modeling superconducting tapes in the H-φ finite-element formulation. Superconductor Science & Technology, 35(2), 024001 (14 pages). Lien externe

2021

Kheradmand, E., Prudhomme, S., & Laforest, M. (2021). A fast contact detection method for ellipsoidal particles. International Journal for Numerical and Analytical Methods in Geomechanics, 45(9), 1169-1194. Lien externe

Alves, B. S., Sabariego, R. V., Laforest, M., & Sirois, F. (2021). Hyperbolic Basis Functions for Time-Transient Analysis of Eddy Currents in Conductive and Magnetic Thin Sheets. IEEE Transactions on Magnetics, 57(11), 1-10. Lien externe

2020

Wan, A. T. S., & Laforest, M. (2020). A posteriori error estimation for the p-curl problem. SIAM Journal on Numerical Analysis, 58(1), 460-491. Lien externe

2019

Kergrene, K., Prudhomme, S., Chamoin, L., & Laforest, M. (mai 2019). Adaptive reduced-order modeling using a goal-oriented pgd approach [Communication écrite]. International Conference on Adaptive Modeling and Simulation, El Campello, Spain (1 page). Non disponible

Law, Y.-M., & Laforest, M. (2019). A nonlinear relaxation formulation of the p-curl problem modelling high-temperature superconductors: a modified Yee's scheme. Journal of Computational Physics, 378, 591-614. Lien externe

Kergrene, K., Chamoin, L., Laforest, M., & Prudhomme, S. (2019). On a Goal-Oriented Version of the Proper Generalized Decomposition Method. Journal of Scientific Computing, 81(1), 92-111. Lien externe

Paquette-Rufiange, A., Prudhomme, S., & Laforest, M. (septembre 2019). Topology Optimization of Lattices by Adaptative Processes [Communication écrite]. 2nd International Conference on Simulation for Additive Manufacturing (SIM-AM 2019), Pavia, Italy (1 page). Non disponible

2018

Choi, H., Kim, H., & Laforest, M. (2018). Relaxation model for the p-Laplacian problem with stiffness. Journal of Computational and Applied Mathematics, 344, 173-189. Lien externe

2017

Kergrene, K., Prudhomme, S., Chamoin, L., & Laforest, M. (2017). Approximation of constrained problems using the PGD method with application to pure Neumann problems. Computer Methods in Applied Mechanics and Engineering, 317, 507-525. Lien externe

Paquette-Rufiange, A., Prudhomme, S., & Laforest, M. (octobre 2017). Design of unstructured lattices by an adaptive topology optimization process [Communication écrite]. Simulation for Additive Manufacturing (Sinam 2017), Munich, Germany. Non disponible

Kergrene, K., Prudhomme, S., Chamoin, L., & Laforest, M. (2017). A new goal-oriented formulation of the finite element method. Computer Methods in Applied Mechanics and Engineering, 327, 256-276. Lien externe

2014

Zaoui, E. M., & Laforest, M. (2014). Stability and modeling error for the Boltzmann equation. Kinetic and Related Models, 7(2), 401-414. Lien externe

2010

Kim, H., Laforest, M., & Yoon, D. (2010). An Adaptive Version of Glimm's Scheme Dedicated to Professor James Glimm on the Occasion of His 75th Birthday. Acta Mathematica Scientia, 30(2), 428-446. Lien externe

Laforest, M., & LeFloch, P. G. (2010). Diminishing functionals for nonclassical entropy solutions selected by kinetic relations. Portugaliae Mathematica, 67(3), 279-319. Lien externe

2009

Grilli, F., Sirois, F., Laforest, M., & Ashworth, S. P. (2009). Periodic space-time formulation for numerical AC loss computation in superconductors. IEEE Transactions on Applied Superconductivity, 19(3), 3565-3568. Lien externe

2008

Laforest, M. (2008). Récidivisme. Accromath, 3(1), 8-11. Lien externe

2007

Laforest, M. (2007). Mechanisms for Error Propagation and Cancellation in Glimm's Scheme Without Rarefactions. Journal of Hyperbolic Differential Equations, 4(3), 501-531. Lien externe

2006

Laforest, M. (juillet 2006). An a posteriori error estimate for Glimm's scheme [Communication écrite]. 11th International Conference on Hyperbolic Problems : Theory, Numerics and Applications, Lyon, France. Lien externe

2004

Laforest, M. (2004). A posteriori error estimate for front-tracking : systems of conservation laws. SIAM journal on mathematical analysis, 35(5), 1347-1370. Lien externe

2003

Glimm, J., Jin, H., Laforest, M., Tangerman, F., & Zhang, Y. (2003). A two pressure numerical model of two fluid mixing. Multiscale modeling and simulation, 1(3), 458-484. Lien externe