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This paper investigates quasi-Monte Carlo (QMC) integration of Lebesgue integrable functions with respect to a density function over $\mathbb{R}^s$. We extend the construction-free median QMC rule proposed by Goda and L'ecuyer (SIAM J. Sci.…

数值分析 · 数学 2026-02-11 Ziyang Ye , Josef Dick , Xiaoqun Wang

We study quasi-Monte Carlo (QMC) integration over the multi-dimensional unit cube in several weighted function spaces with different smoothness classes. We consider approximating the integral of a function by the median of several integral…

数值分析 · 数学 2024-02-20 Takashi Goda , Kosuke Suzuki , Makoto Matsumoto

Quasi-Monte Carlo (QMC) methods are equal weight quadrature rules to approximate integrals over the unit cube with respect to the uniform measure. In this paper we discuss QMC integration with respect to general product measures defined on…

数值分析 · 数学 2020-09-16 Josef Dick , Friedrich Pillichshammer

We study the efficient construction of good polynomial lattice rules, which are special instances of quasi-Monte Carlo (QMC) methods. The integration rules obtained are of particular interest for the approximation of multivariate integrals…

数值分析 · 数学 2021-02-01 Adrian Ebert , Peter Kritzer , Onyekachi Osisiogu , Tetiana Stepaniuk

We study quasi-Monte Carlo (QMC) methods for numerical integration of multivariate functions defined over the high-dimensional unit cube. Lattice rules and polynomial lattice rules, which are special classes of QMC methods, have been…

数值分析 · 数学 2020-06-23 Josef Dick , Takashi Goda

We study multivariate integration over the $s$-dimensional unit cube in a weighted space of infinitely differentiable functions. It is known from a recent result by Suzuki that there exists a good quasi-Monte Carlo (QMC) rule which achieves…

数值分析 · 数学 2019-12-09 Josef Dick , Takashi Goda , Kosuke Suzuki , Takehito Yoshiki

We consider the efficient construction of polynomial lattice rules, which are special cases of so-called quasi-Monte Carlo (QMC) rules. These are of particular interest for the approximate computation of multivariate integrals where the…

数值分析 · 数学 2020-08-21 Adrian Ebert , Peter Kritzer , Onyekachi Osisiogu , Tetiana Stepaniuk

We investigate quasi-Monte Carlo (QMC) integration over the $s$-dimensional unit cube based on rank-1 lattice point sets in weighted non-periodic Sobolev spaces $\mathcal{H}(K_{\alpha,\boldsymbol{\gamma},s}^{\mathrm{sob}})$ and their…

数值分析 · 数学 2019-12-09 Takashi Goda , Kosuke Suzuki , Takehito Yoshiki

In this paper, we study quasi-Monte Carlo (QMC) integration in weighted Sobolev spaces. In contrast to many previous results the QMC algorithms considered here are of open type, i.e., they are extensible in the number of sample points…

数值分析 · 数学 2014-11-18 Peter Hellekalek , Peter Kritzer , Friedrich Pillichshammer

In this note, we study a concatenation of quasi-Monte Carlo and plain Monte Carlo rules for high-dimensional numerical integration in weighted function spaces. In particular, we consider approximating the integral of periodic functions…

数值分析 · 数学 2022-06-27 Takashi Goda

This short article studies a deterministic quasi-Monte Carlo lattice rule in weighted unanchored Sobolev spaces of smoothness $1$. Building on the error analysis by Kazashi and Sloan, we prove the existence of unshifted rank-1 lattice rules…

数值分析 · 数学 2025-04-22 Takashi Goda

Quasi-Monte Carlo (QMC) is an essential tool for integral approximation, Bayesian inference, and sampling for simulation in science, etc. In the QMC area, the rank-1 lattice is important due to its simple operation, and nice properties for…

统计计算 · 统计学 2020-11-13 Yueming Lyu , Yuan Yuan , Ivor W. Tsang

We study multivariate integration of functions that are invariant under the permutation (of a subset) of their arguments. Recently, in Nuyens, Suryanarayana, and Weimar (Adv. Comput. Math. (2016), 42(1):55--84), the authors derived an upper…

数值分析 · 数学 2016-11-29 Dirk Nuyens , Gowri Suryanarayana , Markus Weimar

We study multivariate numerical integration of smooth functions in weighted Sobolev spaces with dominating mixed smoothness $\alpha\geq 2$ defined over the $s$-dimensional unit cube. We propose a new quasi-Monte Carlo (QMC)-based quadrature…

数值分析 · 数学 2019-12-09 Josef Dick , Takashi Goda , Takehito Yoshiki

Monte Carlo (MC) and Quasi-Monte Carlo (QMC) methods are classical approaches for the numerical integration of functions $f$ over $[0,1]^d$. While QMC methods can achieve faster convergence rates than MC in moderate dimensions, their…

数值分析 · 数学 2025-08-27 Jiaheng Chen , Haotian Jiang , Nathan Kirk

QMC rules are equal weight quadrature rules for approximating integrals over $[0,1]^s$. One line of research studies the integration error of functions in the unit ball of so-called Korobov spaces, which are Hilbert spaces of periodic…

数值分析 · 数学 2014-11-12 Josef Dick , Peter Kritzer , Gunther Leobacher , Friedrich Pillichshammer

This paper investigates the construction of space-filling designs for computer experiments. The space-filling property is characterized by the covering and separation radii of a design, which are integrated through the unified criterion of…

统计方法学 · 统计学 2026-02-18 Naoki Sakai , Takashi Goda

In the present paper we study quasi-Monte Carlo rules for approximating integrals over the $d$-dimensional unit cube for functions from weighted Sobolev spaces of regularity one. While the properties of these rules are well understood for…

数值分析 · 数学 2020-01-17 Peter Kritzer , Friedrich Pillichshammer , G. W. Wasilkowski

In a recent paper by the authors, it is shown that there exists a quasi-Monte Carlo (QMC) rule which achieves the best possible rate of convergence for numerical integration in a reproducing kernel Hilbert space consisting of smooth…

数值分析 · 数学 2019-12-09 Takashi Goda , Kosuke Suzuki , Takehito Yoshiki

Quasi-Monte Carlo (QMC) integration of output functionals of solutions of the diffusion problem with a log-normal random coefficient is considered. The random coefficient is assumed to be given by an exponential of a Gaussian random field…

数值分析 · 数学 2017-01-24 Yoshihito Kazashi
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