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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

Dense set

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Ce que les machines ont vu et que nous ne savons pas encore

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Typicality results for weak solutions of the incompressible Navier-Stokes equations

Localization errors of the stochastic heat equation

Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation

COMPUTATION OF "BEST" INTERPOLANTS IN THE L-p SENSE

Path properties of the solution to the stochastic heat equation with Levy noise

Characterization of local morphology and availability of triple-phase boundaries in solid oxide cell electrodes

Modular Sensor Fusion for Semantic Segmentation

Shrinking Bouma's window: Visual crowding in dense displays

Ce que les machines ont vu et que nous ne savons pas encore

Typicality results for weak solutions of the incompressible Navier-Stokes equations

COMPUTATION OF "BEST" INTERPOLANTS IN THE L-p SENSE

Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation

Characterization of local morphology and availability of triple-phase boundaries in solid oxide cell electrodes

Path properties of the solution to the stochastic heat equation with Levy noise

Localization errors of the stochastic heat equation

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Modular Sensor Fusion for Semantic Segmentation

Shrinking Bouma's window: Visual crowding in dense displays