Rob Stevenson

Professor

University of Amsterdam

Netherlands

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Professor Rob Stevenson is a faculty member at the University of Amsterdam, Netherlands. His research primarily focuses on numerical analysis, particularly in the areas of least squares methods, boundary value problems, and the application of machine learning to mathematical techniques. He has authored several recent articles addressing innovative discretizations for various equations and optimal methods for solving ill-posed partial differential equations.

Articles (12)

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2025

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2025

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (3)

Gregor Gantner

Professor

University of Bonn

GERMANY

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Francesco Ballarin

Tenure-track Assistant Professor of Numerical Analysis

Catholic University of the Sacred Heart

ITALY

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Sonja Cox

Academic, Associate Professor, null

University of Amsterdam

NETHERLANDS

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Rob Stevenson

Research Interests

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Articles (12)

Quasi-optimal least squares: inhomogeneous boundary conditions, and application with machine learning

Ultra-Weak Least Squares Discretizations for Unique Continuation and Cauchy Problems

A pollution-free ultra-weak FOSLS discretization of the Helmholtz equation

A Convenient Inclusion of Inhomogeneous Boundary Conditions in Minimal Residual Methods

Least squares solvers for ill-posed PDEs that are conditionally stable

Efficient numerical approximation of a non-regular Fokker–Planck equation associated with first-passage time distributions

A Well-Posed First Order System Least Squares Formulation of the Instationary Stokes Equations

A wavelet-in-time, finite element-in-space adaptive method for parabolic evolution equations

Calculation of the 3-D femoral component’s orientation in total hip arthroplasty using a trigonometric algorithm

Operator preconditioning: the simplest case

Fast solutions for the first-passage distribution of diffusion models with space-time-dependent drift functions and time-dependent boundaries

A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences

Collaborators (3)

Gregor Gantner

Francesco Ballarin

Sonja Cox

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