Search Results - "Kuo, Frances Y."
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Application of Quasi-Monte Carlo Methods to Elliptic PDEs with Random Diffusion Coefficients: A Survey of Analysis and Implementation
Published in Foundations of computational mathematics (01-12-2016)“…This article provides a survey of recent research efforts on the application of quasi-Monte Carlo (QMC) methods to elliptic partial differential equations…”
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QUASI-MONTE CARLO FINITE ELEMENT METHODS FOR A CLASS OF ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM COEFFICIENTS
Published in SIAM journal on numerical analysis (01-01-2012)“…In this paper quasi-Monte Carlo (QMC) methods are applied to a class of elliptic partial differential equations (PDEs) with random coefficients, where the…”
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Multilevel Quasi-Monte Carlo methods for lognormal diffusion problems
Published in Mathematics of computation (01-11-2017)“…multilevel Quasi-Monte Carlo finite element discretisations and give a constructive proof of the dimension-independent convergence of the QMC rules. More…”
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Multi-level Quasi-Monte Carlo Finite Element Methods for a Class of Elliptic PDEs with Random Coefficients
Published in Foundations of computational mathematics (01-04-2015)“…This paper is a sequel to our previous work (Kuo et al. in SIAM J Numer Anal, 2012) where quasi-Monte Carlo (QMC) methods (specifically, randomly shifted…”
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Fast random field generation with H-matrices
Published in Numerische Mathematik (01-11-2018)“…We use the H -matrix technology to compute the approximate square root of a covariance matrix in linear cost. This allows us to generate normal and log-normal…”
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HIGHER ORDER QMC PETROV–GALERKIN DISCRETIZATION FOR AFFINE PARAMETRIC OPERATOR EQUATIONS WITH RANDOM FIELD INPUTS
Published in SIAM journal on numerical analysis (01-01-2014)“…We construct quasi–Monte Carlo methods to approximate the expected values of linear functionals of Petrov–Galerkin discretizations of parametric operator…”
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Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration
Published in Numerische Mathematik (01-04-2024)“…We study the application of a tailored quasi-Monte Carlo (QMC) method to a class of optimal control problems subject to parabolic partial differential equation…”
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Uncertainty quantification for random domains using periodic random variables
Published in Numerische Mathematik (01-02-2024)“…We consider uncertainty quantification for the Poisson problem subject to domain uncertainty. For the stochastic parameterization of the random domain, we use…”
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Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification
Published in Numerische Mathematik (2022)“…This paper deals with the kernel-based approximation of a multivariate periodic function by interpolation at the points of an integration lattice—a setting…”
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Lattice meets lattice: Application of lattice cubature to models in lattice gauge theory
Published in Journal of computational physics (15-10-2021)“…•Recursive integration strategies independent of the number of integration variables are proposed.•We show lattice based cubature methods that can improve…”
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Circulant embedding with QMC: analysis for elliptic PDE with lognormal coefficients
Published in Numerische Mathematik (2018)“…In a previous paper (Graham et al. in J Comput Phys 230:3668–3694, 2011 ), the authors proposed a new practical method for computing expected values of…”
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The ANOVA decomposition of a non-smooth function of infinitely many variables can have every term smooth
Published in Mathematics of computation (01-07-2017)“…The pricing problem for a continuous path-dependent option results in a path integral which can be recast into an infinite-dimensional integration problem. We…”
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Correction to: Fast random field generation with H-matrices
Published in Numerische Mathematik (01-07-2019)“…The corrected version states the parameter range as p ∈ 2ℕ instead of p ∈ ℕ. The effect is to disallow non-smooth norms such as the ℓ 1 -norm for the…”
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Multivariate integration for analytic functions with Gaussian kernels
Published in Mathematics of computation (01-03-2017)“…We study multivariate integration of analytic functions defined on ℝ𝑑. These functions are assumed to belong to a reproducing kernel Hilbert space whose…”
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Periodization strategy may fail in high dimensions
Published in Numerical algorithms (01-12-2007)“…We discuss periodization of smooth functions f of d variables for approximation of multivariate integrals. The benefit of periodization is that we may use…”
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Correction to: Lattice Algorithms for Multivariate L∞ Approximation in the Worst-Case Setting
Published in Constructive approximation (2020)“…We correct the expression for the worst-case error derived in [Kuo, Wasilkowski, Woźniakowski, Construct. Approx. 30 (2009), 475–493] and explain that the main…”
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Note on ``The smoothing effect of integration in \mathbb{R}^d and the ANOVA decomposition
Published in Mathematics of computation (01-07-2017)“…82 (2013), 383-400. We first report a mistake, in that the main result Theorem 3.1, though correct, does not as claimed apply to the Asian option pricing…”
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Multilevel Higher Order QMC Petrov--Galerkin Discretization for Affine Parametric Operator Equations
Published in SIAM journal on numerical analysis (01-01-2016)Get full text
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Gauss-Hermite quadratures for functions from Hilbert spaces with Gaussian reproducing kernels
Published in BIT (Nordisk Tidskrift for Informationsbehandling) (01-06-2012)“…We study univariate integration with the Gaussian weight for a positive variance α . This is done for the reproducing kernel Hilbert space with the Gaussian…”
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Constructing lattice rules based on weighted degree of exactness and worst case error
Published in Computing (01-03-2010)“…Recall that an integration rule is said to have a trigonometric degree of exactness m if it integrates exactly all trigonometric polynomials of degree ≤ m . In…”
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