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Few distinct distances implies no heavy lines or circles

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Localization errors of the stochastic heat equation

David Jean-Michel Candil

In this thesis, we study the stochastic heat equation (SHE) on bounded domains and on the whole Euclidean space

\R^d.

We confirm the intuition that as the bounded domain increases to the whole space, both solutions become arbitrarily close to one another ...

EPFL2022

Few distinct distances implies no heavy lines or circles

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Chattez avec Graph Search

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

An unrefinement algorithm for planar THB-spline parameterizations

Localization errors of the stochastic heat equation

A localized reduced basis approach for unfitted domain methods on parameterized geometries

Inference and Computation for Sparsely Sampled Random Surfaces

Reduced representations of complexes, signals, and multifiltrations

Stabilized isogeometric discretizations on trimmed and union geometries, and weak imposition of the boundary conditions for the Darcy flow

Collapse-invariant properties of spaces equipped with signals or directions

Relative, local and global dimension in complex networks

Efficient equilibrium-based stress recovery for isogeometric laminated curved structures

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

An unrefinement algorithm for planar THB-spline parameterizations

Reduced representations of complexes, signals, and multifiltrations

Stabilized isogeometric discretizations on trimmed and union geometries, and weak imposition of the boundary conditions for the Darcy flow

Localization errors of the stochastic heat equation

Collapse-invariant properties of spaces equipped with signals or directions

Inference and Computation for Sparsely Sampled Random Surfaces

Efficient equilibrium-based stress recovery for isogeometric laminated curved structures

A localized reduced basis approach for unfitted domain methods on parameterized geometries

Relative, local and global dimension in complex networks