Electromagnetic integral equations: Insights in conditioning and preconditioning
Integral equation formulations are a competitive strategy in computational electromagnetics
but, lamentably, are often plagued by ill-conditioning and by related numerical instabilities …
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 …
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 …
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 …
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 …
evolution of BEM over the past half century. We here summarize the overall development …
Sparse second moment analysis for elliptic problems in stochastic domains
We consider the numerical solution of elliptic boundary value problems in domains with
random boundary perturbations. Assuming normal perturbations with small amplitude and …
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 …
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 …
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 …
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 …
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 …
solution of boundary integral equations in three dimensions. It produces approximate …