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This work is concerned with approximating multivariate functions in unbounded domain by using discrete least-squares projection with random points evaluations. Particular attention are given to functions with random Gaussian or Gamma…

Numerical Analysis · Mathematics 2014-03-27 Tao Tang , Tao Zhou

In this paper, we study the numerical method for the bi-Laplace problems with inhomogeneous coefficients; particularly, we propose finite element schemes on rectangular grids respectively for an inhomogeneous fourth-order elliptic singular…

Numerical Analysis · Mathematics 2024-04-23 Bin Dai , Huilan Zeng , Chensong Zhang , Shuo Zhang

In this paper we propose a variant of the linear least squares model allowing practitioners to partition the input features into groups of variables that they require to contribute similarly to the final result. The output allows…

Machine Learning · Computer Science 2024-07-17 Roberto Esposito , Mattia Cerrato , Marco Locatelli

A discretization scheme for variable coefficient Helmholtz problems on two-dimensional domains is presented. The scheme is based on high-order spectral approximations and is designed for problems with smooth solutions. The resulting system…

Numerical Analysis · Mathematics 2012-06-20 P. G. Martinsson

In this work, we develop a novel hybrid Schwarz method, termed as edge multiscale space based hybrid Schwarz (EMs-HS), for solving the Helmholtz problem with large wavenumbers. The problem is discretized using $H^1$-conforming nodal finite…

Numerical Analysis · Mathematics 2024-08-16 Shubin Fu , Shihua Gong , Guanglian Li , Yueqi Wang

In this paper, we consider low-rank approximations for the solutions to the stochastic Helmholtz equation with random coefficients. A Stochastic Galerkin finite element method is used for the discretization of the Helmholtz problem.…

Numerical Analysis · Mathematics 2023-02-17 Adem Kaya , Melina A. Freitag

We study the solubility of cubic equations over the integers. Assuming a necessary congruence condition, the existence of such solutions is established when the $h$-invariant of $C$ is at least $14$, improving on work of Davenport-Lewis and…

Number Theory · Mathematics 2023-10-04 Christian Bernert

Most finite element methods for solving time-harmonic wave-propagation problems lead to a linear system with a non-normal coefficient matrix. The non-normality is due to boundary conditions and losses. One way to solve these systems is to…

Numerical Analysis · Mathematics 2015-06-01 Antti Hannukainen

This paper discusses lowest-order nonstandard finite element methods for space discretization and explicit and implicit schemes for time discretization of the biharmonic wave equation with clamped boundary conditions. A modified Ritz…

Numerical Analysis · Mathematics 2025-07-16 Neela Nataraj , Ricardo Ruiz-Baier , Aamir Yousuf

We present a new technique for constructing solutions of quasilinear systems of first-order partial differential equations, in particular inhomogeneous ones. A generalization of the Riemann invariants method to the case of inhomogeneous…

Mathematical Physics · Physics 2014-10-01 Alfred Michel Grundland , Vincent Lamothe

We propose a numerical homogenization method for scalar linear partial differential equations with rough coefficients, that integrates classical coarse-scale solvers with quantum subroutines for fine-scale corrections. Inspired by the…

Numerical Analysis · Mathematics 2026-03-31 Loïc Balazi , Matthias Deiml , Daniel Peterseim

A new method for solving numerically stochastic partial differential equations (SPDEs) with multiple scales is presented. The method combines a spectral method with the heterogeneous multiscale method (HMM) presented in [W. E, D. Liu, and…

Numerical Analysis · Mathematics 2015-05-28 A. Abdulle , G. A. Pavliotis

We propose a low-rank method for solving the Helmholtz equation. Our approach is based on the WaveHoltz method, which computes Helmholtz solutions by applying a time-domain filter to the solution of a related wave equation. The wave…

Numerical Analysis · Mathematics 2025-10-13 Andreas Granath , Daniel Appelö , Siyang Wang

We consider solving the surface Helmholtz equation on a smooth two dimensional surface embedded into a three dimensional space meshed with tetrahedra. The mesh does not respect the surface and thus the surface cuts through the elements. We…

Numerical Analysis · Mathematics 2018-10-11 Erik Burman , Peter Hansbo , Mats G. Larson , Andre Massing

In this paper, we study least-squares finite element methods (LSFEM) for general second-order elliptic equations with nonconforming finite element approximations. The equation may be indefinite. For the two-field potential-flux div LSFEM…

Numerical Analysis · Mathematics 2022-05-06 Yuxiang Liang , Shun Zhang

In this paper, a generalized finite element method (GFEM) with optimal local approximation spaces for solving high-frequency heterogeneous Helmholtz problems is systematically studied. The local spaces are built from selected eigenvectors…

Numerical Analysis · Mathematics 2022-09-15 Chupeng Ma , Christian Alber , Robert Scheichl

We propose a Bernoulli phase-fitted (BPF) finite difference method for the Helmholtz equation on the interval $(0, L)$ with impedance boundary conditions. The scheme is derived from a complexified Scharfetter--Gummel discretization of the…

Numerical Analysis · Mathematics 2026-05-21 Ansgar Jüngel , Panchi Li , Zhiwei Sun , Zhiwen Zhang

This work introduces a novel Trefftz Continuous Galerkin (TCG) method for 2D Helmholtz problems based on evanescent plane waves (EPWs). We construct a new globally-conforming discrete space, departing from standard discontinuous Trefftz…

Numerical Analysis · Mathematics 2025-12-03 Nicola Galante , Bruno Després , Emile Parolin

This manuscript presents an efficient solver for the linear system that arises from the Hierarchical Poincar\'e-Steklov (HPS) discretization of three dimensional variable coefficient Helmholtz problems. Previous work on the HPS method has…

Numerical Analysis · Mathematics 2023-01-18 José Pablo Lucero Lorca , Natalie Beams , Damien Beecroft , Adrianna Gillman

In this paper we propose a new approach to study the properties of the Partial Least Squares (PLS) estimator. This approach relies on the link between PLS and discrete orthogonal polynomials. Indeed many important PLS objects can be…

Statistics Theory · Mathematics 2014-11-04 Mélanie Blazère , Fabrice Gamboa , Jean-Michel Loubes
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