P Gaudreau, R Slevinsky, H Safouhi - Journal of Mathematical Physics, 2016 - pubs.aip.org
Sturm-Liouville problems are abundant in the numerical treatment of scientific and engineering problems. In the present contribution, we present an efficient and highly …
J Vanherck, B Sorée, W Magnus - arXiv preprint arXiv:2007.15057, 2020 - arxiv.org
The problem of estimating single-and multi-dimensional integrals, with or without end-point singularities, is prevalent in all fields of scientific research, and in particular in physics …
Numerical integration over the real line for analytic functions is studied. Our main focus is on the sharpness of the error bounds. We first derive two general lower estimates for the worst …
P Jantsch, CG Webster - Sparse Grids and Applications-Miami 2016, 2018 - Springer
In this work, we demonstrate the extension of quadrature approximations, built from conformal mapping of interpolatory rules, to sparse grid quadrature in the multidimensional …
P Gaudreau, H Safouhi - Journal of Mathematical Physics, 2017 - pubs.aip.org
We show that the double exponential sinc-collocation method provides an efficient uniformly accurate solution to the one-dimensional time independent Schrödinger equation for a …
S Kyoya, K Tanaka - JSIAM Letters, 2019 - jstage.jst.go.jp
The double exponential formula, or the DE formula, is a high-precision integration formula using a change of variables called a DE transformation. However, it has a disadvantage that …
In this work, we consider several ways to overcome the challenges associated with polynomial approximation and integration of smooth functions depending on a large number …
S Kyoya, K Tanaka - IMA Journal of Numerical Analysis, 2020 - academic.oup.com
The double exponential formula, or DE formula, is a high-precision integration formula using a change of variables called a DE transformation; it has the disadvantage that it is sensitive …
Model order reduction is a technique to reduce computational times of parameterized PDEs while maintaining good accuracy of the approximated solution. Reduced basis methods …