activity
20242026
collaborators

11 papers

math.NA2026

Multivariate integration and approximation in weighted Sobolev spaces of low fractional smoothness

Mou Cai, Takashi Goda

The weighted half-period cosine space has often been employed in the theory of quasi-Monte Carlo methods for multivariate integration and approximation of non-periodic functions. F…

math.NA2026

Optimality of quasi-Monte Carlo methods and suboptimality of the sparse-grid Gauss--Hermite rule in Gaussian Sobolev spaces

Yoshihito Kazashi, Yuya Suzuki, Takashi Goda

Optimality of several quasi-Monte Carlo methods and suboptimality of the sparse-grid quadrature based on the univariate Gauss--Hermite rule is proved in the Sobolev spaces of mixed…

math.NA2026

A note on approximation in weighted Korobov spaces via multiple rank-1 lattices

Mou Cai, Takashi Goda

This paper studies the multivariate approximation of functions in weighted Korobov spaces using multiple rank-1 lattice rules. It has been shown by Kämmerer and Volkmer (2019) tha…

math.NA2025

A lattice algorithm with multiple shifts for function approximation in Korobov spaces

Mou Cai, Josef Dick, Takashi Goda

In this paper, we propose a novel algorithm for function approximation in a weighted Korobov space based on shifted rank-1 lattice rules. To mitigate aliasing errors inherent in la…

math.NA2025

Universal -approximation using median lattice algorithms

Zexin Pan, Takashi Goda, Peter Kritzer

We study the problem of multivariate -approximation of functions in a weighted Korobov space using a median lattice-based algorithm recently proposed by the authors. In the or…

math.NA2025

-approximation using median lattice algorithms

Zexin Pan, Peter Kritzer, Takashi Goda

In this paper, we study the problem of multivariate -approximation of functions belonging to a weighted Korobov space. We propose and analyze a median lattice-based algorithm,…