A hybrid FEM and ELM framework for parameter-dependent PDEs derives existence, uniqueness, regularity, and error estimates for inverse problems in photoacoustic tomography.
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Continuous integration workflows automate benchmarking of numerical cut-cell quadrature across scientific software packages.
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Solving Inverse Parametrized Problems via Finite Elements and Extreme Learning Networks
A hybrid FEM and ELM framework for parameter-dependent PDEs derives existence, uniqueness, regularity, and error estimates for inverse problems in photoacoustic tomography.
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Employing Continuous Integration inspired workflows for benchmarking of scientific software -- a use case on numerical cut cell quadrature
Continuous integration workflows automate benchmarking of numerical cut-cell quadrature across scientific software packages.