Jan Glaubitz - RankMe

46 papers Journal 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Why summation by parts is not enough. CoRR Jan Glaubitz, Armin Iske, Joshua Lampert, Philipp Öffner
2025	J	`jnl`	An Optimization-Based Construction Procedure for Function Space-Based Summation-by-Parts Operators on Arbitrary Grids. J. Sci. Comput. Jan Glaubitz, Jan Nordström, Philipp Öffner
2025	J	`jnl`	Efficient sampling for sparse Bayesian learning using hierarchical prior normalization. CoRR Jan Glaubitz, Youssef Marzouk
2025	J	`jnl`	Generalized upwind summation-by-parts operators and their application to nodal discontinuous Galerkin methods. J. Comput. Phys. Jan Glaubitz, Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Gregor Gassner
2025	J	`jnl`	On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws. J. Comput. Phys. Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Jan Glaubitz, Gregor J. Gassner
2025	J	`jnl`	Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems. CoRR Jonathan Lindbloom, Mirjeta Pasha, Jan Glaubitz, Youssef Marzouk
2025	J	`jnl`	The Bayesian SIAC filter. CoRR Jan Glaubitz, Tongtong Li, Jennifer Ryan, Roman Stuhlmacher
2025	J	`jnl`	Towards provable energy-stable overset grid methods using sub-cell summation-by-parts operators. CoRR Jan Glaubitz, Joshua Lampert, Andrew R. Winters, Jan Nordström
2024	J	`jnl`	An optimization-based construction procedure for function space based summation-by-parts operators on arbitrary grids. CoRR Jan Glaubitz, Jan Nordström, Philipp Öffner
2024	J	`jnl`	Energy-Stable Global Radial Basis Function Methods on Summation-By-Parts Form. J. Sci. Comput. Jan Glaubitz, Jan Nordström, Philipp Öffner
2024	J	`jnl`	Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances. CoRR Jonathan Lindbloom, Jan Glaubitz, Anne Gelb
2024	J	`jnl`	Generalized upwind summation-by-parts operators and their application to nodal discontinuous Galerkin methods. CoRR Jan Glaubitz, Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Gregor Gassner
2024	J	`jnl`	Leveraging Joint Sparsity in Hierarchical Bayesian Learning. SIAM/ASA J. Uncertain. Quantification Jan Glaubitz, Anne Gelb
2024	J	`jnl`	Summation-by-parts operators for general function spaces: The second derivative. J. Comput. Phys. Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
2023	J	`jnl`	Generalized Sparse Bayesian Learning and Application to Image Reconstruction. SIAM/ASA J. Uncertain. Quantification Jan Glaubitz, Anne Gelb, Guohui Song
2023	J	`jnl`	High-order upwind summation-by-parts methods for nonlinear conservation laws. CoRR Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Jan Glaubitz, Gregor J. Gassner
2023	J	`jnl`	Leveraging joint sparsity in hierarchical Bayesian learning. CoRR Jan Glaubitz, Anne Gelb
2023	J	`jnl`	Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction. CoRR Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
2023	J	`jnl`	Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction. J. Comput. Phys. Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
2023	J	`jnl`	Sequential Image Recovery Using Joint Hierarchical Bayesian Learning. J. Sci. Comput. Yao Xiao, Jan Glaubitz
2023	J	`jnl`	Summation-by-Parts Operators for General Function Spaces. SIAM J. Numer. Anal. Jan Glaubitz, Jan Nordström, Philipp Öffner
2023	J	`jnl`	Summation-by-parts operators for general function spaces: The second derivative. CoRR Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
2023	J	`jnl`	Towards stability results for global radial basis function based quadrature formulas. CoRR Jan Glaubitz, Jonah A. Reeger
2022	J	`jnl`	Energy-stable global radial basis function methods on summation-by-parts form. CoRR Jan Glaubitz, Jan Nordström, Philipp Öffner
2022	J	`jnl`	Generalized sparse Bayesian learning and application to image reconstruction. CoRR Jan Glaubitz, Anne Gelb, Guohui Song
2022	J	`jnl`	Sequential Image Recovery from Noisy and Under-Sampled Fourier Data. J. Sci. Comput. Yao Xiao, Jan Glaubitz, Anne Gelb, Guohui Song
2022	J	`jnl`	Sequential image recovery from noisy and under-sampled Fourier data. CoRR Yao Xiao, Jan Glaubitz, Anne Gelb, Guohui Song
2022	J	`jnl`	Sequential image recovery using joint hierarchical Bayesian learning. CoRR Yao Xiao, Jan Glaubitz
2022	J	`jnl`	Summation-by-parts operators for general function spaces. CoRR Jan Glaubitz, Jan Nordström, Philipp Öffner
2021	J	`jnl`	Construction and application of provable positive and exact cubature formulas. CoRR Jan Glaubitz
2021	J	`jnl`	Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions. CoRR Jan Glaubitz, Anne Gelb
2021	J	`jnl`	Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions. J. Sci. Comput. Jan Glaubitz, Anne Gelb
2021	J	`jnl`	Stable high-order cubature formulas for experimental data. J. Comput. Phys. Jan Glaubitz
2021	J	`jnl`	Towards Stable Radial Basis Function Methods for Linear Advection Problems. CoRR Jan Glaubitz, Élise Le Mélédo, Philipp Öffner
2021	J	`jnl`	Towards stability of radial basis function based cubature formulas. CoRR Jan Glaubitz, Jonah A. Reeger
2021	J	`jnl`	Towards stable radial basis function methods for linear advection problems. Comput. Math. Appl. Jan Glaubitz, Élise Le Mélédo, Philipp Öffner
2020	J	`jnl`	Constructing Positive Interpolatory Cubature Formulas. CoRR Jan Glaubitz
2020	J	`jnl`	Stable High Order Quadrature Rules for Scattered Data and General Weight Functions. CoRR Jan Glaubitz
2020	J	`jnl`	Stable High Order Quadrature Rules for Scattered Data and General Weight Functions. SIAM J. Numer. Anal. Jan Glaubitz
2020	J	`jnl`	Stable High-Order Cubature Formulas for Experimental Data. CoRR Jan Glaubitz
2020	J	`jnl`	Stable discretisations of high-order discontinuous Galerkin methods on equidistant and scattered points. CoRR Jan Glaubitz, Philipp Öffner
2019	J	`jnl`	High Order Edge Sensors with ℓ SIAM J. Sci. Comput. Jan Glaubitz, Anne Gelb
2019	J	`jnl`	Shock Capturing by Bernstein Polynomials for Scalar Conservation Laws. CoRR Jan Glaubitz
2019	J	`jnl`	Shock capturing by Bernstein polynomials for scalar conservation laws. Appl. Math. Comput. Jan Glaubitz
2019	J	`jnl`	Smooth and Compactly Supported Viscous Sub-cell Shock Capturing for Discontinuous Galerkin Methods. J. Sci. Comput. Jan Glaubitz, Alberto Costa Nogueira Jr., João Lucas de Sousa Almeida, R. F. Cantão, C. A. C. Silva
2018	J	`jnl`	Application of modal filtering to a spectral difference method. Math. Comput. Jan Glaubitz, Philipp Öffner, Thomas Sonar