Electromagnetic integral equations: Insights in conditioning and preconditioning

SB Adrian, A Dely, D Consoli, A Merlini… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
Integral equation formulations are a competitive strategy in computational electromagnetics
but, lamentably, are often plagued by ill-conditioning and by related numerical instabilities …

Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs

C Schwab, CJ Gittelson - Acta Numerica, 2011 - cambridge.org
Partial differential equations (PDEs) with random input data, such as random loadings and
coefficients, are reformulated as parametric, deterministic PDEs on parameter spaces of …

The black-box fast multipole method

W Fong, E Darve - Journal of Computational Physics, 2009 - Elsevier
A new O (N) fast multipole formulation is proposed for non-oscillatory kernels. This algorithm
is applicable to kernels K (x, y) which are only known numerically, that is their numerical …

[图书][B] Efficient numerical methods for non-local operators: H2-matrix compression, algorithms and analysis

S Börm - 2010 - books.google.com
Hierarchical matrices present an efficient way of treating dense matrices that arise in the
context of integral equations, elliptic partial differential equations, and control theory. While a …

Development and implementation of some BEM variants—A critical review

KH Yu, AH Kadarman, H Djojodihardjo - Engineering Analysis with …, 2010 - Elsevier
Due to rapid development of boundary element method (BEM), this article explores the
evolution of BEM over the past half century. We here summarize the overall development …

Sparse second moment analysis for elliptic problems in stochastic domains

H Harbrecht, R Schneider, C Schwab - Numerische Mathematik, 2008 - Springer
We consider the numerical solution of elliptic boundary value problems in domains with
random boundary perturbations. Assuming normal perturbations with small amplitude and …

[图书][B] Computational methods for quantitative finance: Finite element methods for derivative pricing

N Hilber, O Reichmann, C Schwab, C Winter - 2013 - books.google.com
Many mathematical assumptions on which classical derivative pricing methods are based
have come under scrutiny in recent years. The present volume offers an introduction to …

Nonlinear estimation for linear inverse problems with error in the operator

M Hoffmann, M Reiss - 2008 - projecteuclid.org
We study two nonlinear methods for statistical linear inverse problems when the operator is
not known. The two constructions combine Galerkin regularization and wavelet thresholding …

A matrix-free isogeometric Galerkin method for Karhunen–Loève approximation of random fields using tensor product splines, tensor contraction and interpolation …

ML Mika, TJR Hughes, D Schillinger, P Wriggers… - Computer Methods in …, 2021 - Elsevier
Abstract The Karhunen–Loève series expansion (KLE) decomposes a stochastic process
into an infinite series of pairwise uncorrelated random variables and pairwise L 2-orthogonal …

Wavelet Galerkin schemes for boundary integral equations---implementation and quadrature

H Harbrecht, R Schneider - SIAM Journal on Scientific Computing, 2006 - SIAM
In the present paper we consider the fully discrete wavelet Galerkin scheme for the fast
solution of boundary integral equations in three dimensions. It produces approximate …