Kristoffer G. van der Zee

According to our database, Kristoffer G. van der Zee authored at least 24 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach.

Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee

Comput. Math. Appl., 2024

2023

Global-local multidisciplinary optimisation for the evaluation of local constraints on finer meshes in preliminary aircraft design.

Massimo Sferza, Jelena Ninic, Florian Glock, Christoph Hofer, Fernass Daoud, Dimitrios Chronopoulos, Kristoffer G. van der Zee

Eng. Comput., December, 2023

Editorial UKACM 2022: advances in computational mechanics.

Jelena Ninic, Kristoffer G. van der Zee, Matteo Icardi, Fangying Wang

Eng. Comput., December, 2023

An editorial perspective: recent updates of EWCO and submission guidelines.

Jessica Zhang, John A. Evans, Héctor Gómez, Kristoffer G. van der Zee

Eng. Comput., February, 2023

A Shape-Newton Method for Free-boundary Problems Subject to The Bernoulli Boundary Condition.

Yiyun Fan, John Billingham, Kristoffer G. van der Zee

CoRR, 2023

2022

Linearization of the Travel Time Functional in Porous Media Flows.

Paul Houston, Connor J. Rourke, Kristoffer G. van der Zee

SIAM J. Sci. Comput., 2022

Projection in negative norms and the regularization of rough linear functionals.

Felipe Millar, Ignacio Muga, Sergio Rojas, Kristoffer G. van der Zee

Numerische Mathematik, 2022

An editorial perspective: new team, aims and scope and advances of EWCO.

Jessica Zhang, John A. Evans, Héctor Gómez, Kris G. van der Zee

Eng. Comput., 2022

Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights.

Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee

CoRR, 2022

2021

Linearisation of the Travel Time Functional in Porous Media Flows.

Paul Houston, Connor J. Rourke, Kristoffer G. van der Zee

CoRR, 2021

A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations.

Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee

Comput. Math. Appl., 2021

2020

Discretization of Linear Problems in Banach Spaces: Residual Minimization, Nonlinear Petrov-Galerkin, and Monotone Mixed Methods.

Ignacio Muga, Kristoffer G. van der Zee

SIAM J. Numer. Anal., 2020

Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations.

Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee

CoRR, 2020

Eliminating Gibbs phenomena: A non-linear Petrov-Galerkin method for the convection-diffusion-reaction equation.

Paul Houston, Sarah Roggendorf, Kristoffer G. van der Zee

Comput. Math. Appl., 2020

2019

Gibbs Phenomena for L^q-Best Approximation in Finite Element Spaces - Some Examples.

Paul Houston, Sarah Roggendorf, Kristoffer G. van der Zee

CoRR, 2019

The Discrete-Dual Minimal-Residual Method (DDMRes) for Weak Advection-Reaction Problems in Banach Spaces.

Ignacio Muga, Matthew J. W. Tyler, Kristoffer G. van der Zee

Comput. Methods Appl. Math., 2019

The Convection-Diffusion-Reaction Equation in Non-Hilbert Sobolev Spaces: A Direct Proof of the Inf-Sup Condition and Stability of Galerkin's Method.

Paul Houston, Ignacio Muga, Sarah Roggendorf, Kristoffer G. van der Zee

Comput. Methods Appl. Math., 2019

2018

A Posteriori Error Estimation and Adaptivity for Nonlinear Parabolic Equations using IMEX-Galerkin Discretization of Primal and Dual Equations.

X. Wu, Kris G. van der Zee, Görkem Simsek-Senel, E. H. van Brummelen

SIAM J. Sci. Comput., 2018

Parallel-In-Space-Time, Adaptive Finite Element Framework for Nonlinear Parabolic Equations.

Robert Dyja, Baskar Ganapathysubramanian, Kristoffer G. van der Zee

SIAM J. Sci. Comput., 2018

2016

An Abstract Analysis of Optimal Goal-Oriented Adaptivity.

Michael Feischl, Dirk Praetorius, Kristoffer G. van der Zee

SIAM J. Numer. Anal., 2016

2014

Adjoint-consistent formulations of slip models for coupled electroosmotic flow systems.

Vikram V. Garg, Serge Prudhomme, Kris G. van der Zee, Graham F. Carey

Adv. Model. Simul. Eng. Sci., 2014

2010

Goal-Oriented Error Estimation and Adaptivity for Free-Boundary Problems: The Shape-Linearization Approach.

Kris G. van der Zee, E. H. van Brummelen, René de Borst

SIAM J. Sci. Comput., 2010

Goal-Oriented Error Estimation and Adaptivity for Free-Boundary Problems: The Domain-Map Linearization Approach.

Kris G. van der Zee, E. H. van Brummelen, René de Borst

SIAM J. Sci. Comput., 2010

2006

An H¹(P^h)-Coercive Discontinuous Galerkin Formulation for the Poisson Problem: 1D Analysis.

Kris G. van der Zee, E. H. van Brummelen, René de Borst

SIAM J. Numer. Anal., 2006