A posteriori error analysis for approximations of time-fractional subdiffusion problems von Banjai, Lehel, Makridakis, Charalambos

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A posteriori error estimates for Radau IIA methods via maximal parabolic regularity von Akrivis, Georgios, Makridakis, Charalambos G.

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A new class of entropy stable schemes for hyperbolic systems: Finite element methods von Gkanis, Ioannis, Makridakis, Charalambos G.

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Lower bounds, elliptic reconstruction and a posteriori error control of parabolic problems von Georgoulis, Emmanuil H, Makridakis, Charalambos G

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On a posteriori error estimation for Runge–Kutta discontinuous Galerkin methods for linear hyperbolic problems von Georgoulis, Emmanuil H., Hall, Edward J. C., Makridakis, Charalambos G.

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On the Babuška–Osborn approach to finite element analysis: $$L^2$$ L 2 estimates for unstructured meshes von Makridakis, Charalambos G.

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On the Babuška–Osborn approach to finite element analysis: L 2 estimates for unstructured meshes von Makridakis, Charalambos G

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On the Babuška–Osborn approach to finite element analysis: L2 estimates for unstructured meshes von Makridakis, Charalambos G.

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A POSTERIORI ERROR ESTIMATES FOR LEAP-FROG AND COSINE METHODS FOR SECOND ORDER EVOLUTION PROBLEMS von GEORGOULIS, EMMANUIL H., LAKKIS, OMAR, MAKRIDAKIS, CHARALAMBOS G., VIRTANEN, JUHA M.

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Deep Ritz -- Finite Element methods: Neural Network Methods trained with Finite Elements von Grekas, Georgios, Makridakis, Charalambos G

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A new approach to generalisation error of machine learning algorithms: Estimates and convergence von Loulakis, Michail, Makridakis, Charalambos G

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A Deep Uzawa-Lagrange Multiplier Approach for Boundary Conditions in PINNs and Deep Ritz Methods von Makridakis, Charalambos G, Pim, Aaron, Pryer, Tristan

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Deep Uzawa for PDE constrained optimisation von Makridakis, Charalambos G, Pim, Aaron, Pryer, Tristan

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On the Stability and Convergence of Physics Informed Neural Networks von Gazoulis, Dimitrios, Gkanis, Ioannis, Makridakis, Charalambos G

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Deep Ritz -- Finite Element methods: Neural Network Methods trained with Finite Elements von Grekas, Georgios, Makridakis, Charalambos G

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A posteriori error analysis for approximations of time-fractional subdiffusion problems von Lehel Banjai, Makridakis, Charalambos G

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A new approach to generalisation error of machine learning algorithms: Estimates and convergence von Loulakis, Michail, Makridakis, Charalambos G

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A Deep Uzawa-Lagrange Multiplier Approach for Boundary Conditions in PINNs and Deep Ritz Methods von Makridakis, Charalambos G, Pim, Aaron, Pryer, Tristan

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Deep Uzawa for PDE constrained optimisation von Makridakis, Charalambos G, Pim, Aaron, Pryer, Tristan

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On the Stability and Convergence of Physics Informed Neural Networks von Gazoulis, Dimitrios, Gkanis, Ioannis, Makridakis, Charalambos G

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