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Publications


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Garnier, Haddar & M., The linear sampling method for small random scatterers, in prep.

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Garnier, Haddar & M., The linear sampling method with data generated by small random scatterers, in prep.


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Background

Results

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In 2023, I presented an extension of the linear sampling method for solving the sound-soft inverse acoustic scattering problem with randomly distributed point sources. The theoretical justification of my sampling method is based on the Helmholtz–Kirchhoff identity, the cross-correlation between measurements, and the volume and imaginary near-field operators, which I introduced and analyzed. The resulting method gives comparable results to the standard linear sampling method with deterministic sources. In 2024, I extended it to the case of small random scatterers—a seemingly simple yet powerful model of a random medium that allowed me to apply the linear sampling method in a novel manner.

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In 2023, I presented an extension of the linear sampling method for solving the sound-soft inverse acoustic scattering problem with randomly distributed point sources. The theoretical justification of my sampling method is based on the Helmholtz–Kirchhoff identity, the cross-correlation between measurements, and the volume and imaginary near-field operators, which I introduced and analyzed. The resulting method gives comparable results to the standard linear sampling method with deterministic sources.

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Software

Papers

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2024   The linear sampling method for small random scatterers

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2023   The linear sampling method for random sources  doi arXiv

Blog posts

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2024   The linear sampling method for small random scatterers

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2022   The linear sampling method for random sources


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Software

Papers

2021   Deep ReLU networks overcome the curse of dimensionality for generalized bandlimited functions  doi arXiv

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2020   Error bounds for deep ReLU networks using the Kolmogorov–Arnold superposition theorem  doi arXiv

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2019   New error bounds for deep ReLU networks using sparse grids  doi arXiv

Blog posts

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Background

These packages are particularly relevant to the astrophysics, computational fluid dynamics, and biology communities, where simple geometries such as the sphere are prevalent. For example, nonlinear advection equations on the sphere, such as the shallow water equations, are of significant importance in atmospheric numerical modeling, while reaction-diffusion equations in a spherical shell are widely used as a model for convection patterns within the Earth's mantle, as well as for the modeling of morphogenesis in embryos. On top of these standard local differential equations, their nonlocal integral analogs are becoming more and more popular to model a wide range of phenomena in these communities.

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Results (Ph.D. at Oxford)

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Results

My Ph.D. introduced new numerical methods for the simulation of periodic physical phenomena.

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Results (Ph.D. at Oxford)

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Results (Postdoc at Columbia)

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With discretizations of operators in hand, I explored potential applications in biology. I used the fast algorithms I developed to investigate pattern formation and explain symmetry breaking on the sphere.

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With discretizations of operators in hand, I explored potential applications in biology during a postdoc at Columbia. I used the fast algorithms I developed to investigate pattern formation and explain symmetry breaking on the sphere.

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Results (Postdoc at Columbia)

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Several years later, in 2024, I introduced a nonlocal vector calculus on the sphere based on weakly singular integral operators. When employing scalar and vector spherical harmonics as bases, I showed that these nonlocal operators exhibit diagonal behavior. Through analysis, I also established strong convergence to the operators of local vector calculus as the interaction range approaches zero. This work is consistent with my previous work on nonlocal diffusion operators. This extends to the sphere, a prototype of a manifold, the nonlocal calculus for Euclidean domains.

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Collaborators

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Software

Papers

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2024   Nonlocal vector calculus on the sphere using vector spherical harmonics

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2020   Solving periodic semilinear stiff PDEs in 1D, 2D and 3D with exponential integrators  doi arXiv

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2018   Spherical caps in cell polarization  doi

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2018   A spectral method for nonlocal diffusion operators on the sphere  doi arXiv

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2018   A spectral method for nonlocal diffusion operators on the sphere  doi arXiv

2018   Fourth-order time-stepping for stiff PDEs on the sphere  doi arXiv

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2016   Computing hyperbolic choreographies  doi arXiv

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2016   Computing planar and spherical choreographies  doi arXiv

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2015   Extension of Chebfun to periodic functions  doi arXiv

Blog posts

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2024   Nonlocal vector calculus on the sphere

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2020   Exponential integrators for stiff PDEs

2018   Computer-assisted proofs for PDEs

2018   Spherical caps in cell polarization

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IP Paris

2023–2024

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Optimization & control (École Polytechnique)

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Optimization & Control (École Polytechnique)

Statistics (ENSTA Paris)

Probability (ENSTA Paris)

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Modelling & simulations (École Polytechnique)

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Modelling & Simulations (École Polytechnique)

Dynamical systems (ENSTA Paris)