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The Hermite polynomials are ubiquitous but can be difficult to work with due to their unwieldy definition in terms of derivatives. To remedy this, we showcase an underappreciated Gaussian integral formula for the Hermite polynomials, which…

Probability · Mathematics 2025-11-18 Mihai Nica , Janosch Ortmann

Directional interpolation is a fast and efficient compression technique for high-frequency Helmholtz boundary integral equations, but it requires a very large amount of storage in its original form. Algebraic recompression can significantly…

Numerical Analysis · Mathematics 2023-10-23 Steffen Börm , Janne Henningsen

The Frank Wolfe algorithm (FW) is a popular projection-free alternative for solving large-scale constrained optimization problems. However, the FW algorithm suffers from a sublinear convergence rate when minimizing a smooth convex function…

Optimization and Control · Mathematics 2021-10-20 Robin Francis , Sundeep Prabhakar Chepuri

Using the $\hbar$-expansion of the Green's function of the Hartree-Fock-Bogoliubov equation, we extend the second-order Thomas-Fermi approximation to generalized superfluid Fermi systems by including the density-dependent effective mass and…

Nuclear Theory · Physics 2016-01-29 J. C. Pei , Na Fei , Y. N. Zhang , P. Schuck

We derive efficient and reliable goal-oriented error estimations, and devise adaptive mesh procedures for the finite element method that are based on the localization of a posteriori estimates. In our previous work [SIAM J. Sci. Comput.,…

Numerical Analysis · Mathematics 2020-03-23 Bernhard Endtmayer , Ulrich Langer , Thomas Wick

The convergence rates on polynomial interpolation in most cases are estimated by Lebesgue constants. These estimates may be overestimated for some special points of sets for functions of limited regularities. In this paper, by applying the…

Numerical Analysis · Mathematics 2015-06-19 Shuhuang Xiang

In this work we show how to get advantage from the Riemann--Hilbert analysis in order to obtain information about the matrix orthogonal polynomials and functions of second kind associated with a weight matrix. We deduce properties for the…

Classical Analysis and ODEs · Mathematics 2023-06-01 Amílcar Branquinho , Ana Foulquié-Moreno , Assil Fradi , Manuel Mañas

We establish error estimates for semi-Lagrangian schemes for the initial value problem of one-dimensional conservation laws with a dispersive term, including the Korteweg--de Vries equation. The schemes considered in this paper are based on…

Numerical Analysis · Mathematics 2025-12-03 Haruki Takemura

We present a multigrid iterative algorithm for solving a system of coupled free boundary problems for pricing American put options with regime-switching. The algorithm is based on our recently developed compact finite difference scheme…

Computational Finance · Quantitative Finance 2021-11-09 Chinonso Nwankwo , Weizhong Dai

This paper introduces a new pseudodifferential preconditioner for the Helmholtz equation in variable media with absorption. The pseudodifferential operator is associated with the multiplicative inverse to the symbol of the Helmholtz…

Numerical Analysis · Mathematics 2024-12-12 Sebastian Acosta , Tahsin Khajah , Benjamin Palacios

We show that highly accurate approximations can often be obtained from constructing Thiele interpolating continued fractions by a Greedy selection of the interpolation points together with an early termination condition. The obtained…

Numerical Analysis · Mathematics 2023-02-23 Oliver Salazar Celis

We present simpler algorithms for two closely related morphing problems, both based on the barycentric interpolation paradigm introduced by Floater and Gotsman, which is in turn based on Floater's asymmetric extension of Tutte's classical…

Computational Geometry · Computer Science 2021-09-15 Jeff Erickson , Patrick Lin

We propose a method for interpolating divergence-free continuous magnetic fields via vector potential reconstruction using Hermite interpolation, which ensures high-order continuity for applications requiring adaptive, high-order ordinary…

Numerical Analysis · Mathematics 2025-01-06 Oleksii Beznosov , Jesus Bonilla , Xianzhu Tang , Golo Wimmer

The computational efficiency and rapid convergence of fast Fourier transform (FFT)-based solvers render them a powerful numerical tool for periodic cell problems in multiscale modeling. On regular grids, they tend to outperform traditional…

Numerical Analysis · Mathematics 2026-02-18 Martin Ladecký , Ivana Pultarová , François Bignonnet , Indre Jödicke , Jan Zeman , Lars Pastewka

The goal of this work is to introduce a local and a global interpolator in Jacobi-weighted spaces, with optimal order of approximation in the context of the $p$-version of finite element methods. Then, an a posteriori error indicator of the…

Numerical Analysis · Mathematics 2015-02-13 María Gabriela Armentano , Verónica Moreno

In this paper, we present and analyse a class of "filtered" numerical schemes for second order Hamilton-Jacobi-Bellman equations. Our approach follows the ideas introduced in B.D. Froese and A.M. Oberman, Convergent filtered schemes for the…

Numerical Analysis · Mathematics 2016-11-16 Olivier Bokanowski , Athena Picarelli , Christoph Reisinger

Two new one-dimensional fermionic models depending on two independent parameters are formulated and solved exactly by the Bethe-ansatz method. These models connect continuously the integrable Hubbard and supersymmetric t-J models.

Strongly Correlated Electrons · Physics 2009-10-31 F. C. Alcaraz , R. Z. Bariev

The main contribution of this paper is twofold: On the one hand, a general framework for performing Hermite interpolation on Riemannian manifolds is presented. The method is applicable, if algorithms for the associated Riemannian…

Numerical Analysis · Mathematics 2021-12-20 Ralf Zimmermann

Iterative methods with certified convergence for the computation of Gauss--Jacobi quadratures are described. The methods do not require a priori estimations of the nodes to guarantee its fourth-order convergence. They are shown to be…

Numerical Analysis · Mathematics 2020-08-24 A. Gil , J. Segura , N. M. Temme

Gaussian kernels can be an efficient and accurate tool for multivariate interpolation. In practice, high accuracies are often achieved in the flat limit where the interpolation matrix becomes increasingly ill-conditioned. Stable evaluation…

Numerical Analysis · Mathematics 2019-12-12 Katharina Kormann , Caroline Lasser , Anna Yurova