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Disambiguation of "Ginting, Victor"

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Multiscale Interpolation, Backward in Time Error Analysis for Data-Driven Contaminant Simulation.

, , , , , , , and . International Conference on Computational Science (2), volume 3515 of Lecture Notes in Computer Science, page 640-647. Springer, (2005)

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Usaha Ginting-Moenthe

Victor Anspach

Status quo, Perspektiven und wirtschaftliche Potenziale der Biogaserzeugung auf landwirtschaftlichen Betrieben im ökologischen Landbau. Uni Kassel, (2009)

Victor Levchenko

Victor Grigoriev

Victor Zebe

 

Other publications of authors with the same name

Construction of locally conservative fluxes for high order continuous Galerkin finite element methods., , and . J. Comput. Appl. Math., (2019)On multiscale methods in Petrov-Galerkin formulation., , and . Numerische Mathematik, 131 (4): 643-682 (2015)Multiscale Interpolation, Backward in Time Error Analysis for Data-Driven Contaminant Simulation., , , , , , , and . International Conference on Computational Science (2), volume 3515 of Lecture Notes in Computer Science, page 640-647. Springer, (2005)On the Application of the Continuous Galerkin Finite Element Method for Conservation Problems., and . SIAM J. Sci. Comput., (2013)A Note on Data-Driven Contaminant Simulation., , , , , , , , , and . International Conference on Computational Science, volume 3038 of Lecture Notes in Computer Science, page 701-708. Springer, (2004)A finite volume element method for a non-linear elliptic problem., , and . Numerical Lin. Alg. with Applic., 12 (5-6): 515-546 (2005)Locally Conservative B-spline Finite Element Methods for Two-Point Boundary Value Problems., and . ICCS, volume 80 of Procedia Computer Science, page 1279-1290. Elsevier, (2016)An A Posteriori-A Priori Analysis of Multiscale Operator Splitting., , , , and . SIAM J. Numerical Analysis, 46 (3): 1116-1146 (2008)Uncertainty Quantification of Parameters in SBVPs Using Stochastic Basis and Multi-Scale Domain Decomposition., , and . ICCS, volume 80 of Procedia Computer Science, page 1267-1278. Elsevier, (2016)Contaminant transport forecasting in the subsurface using a Bayesian framework., , , , and . Appl. Math. Comput., (2020)