activity
20122026
most citedDiscretizing Distributions with Exact Moments: Error Estimate and Convergence Analysis

11 citations · 55 across the 23 of their papers we have counts for

collaborators
Showing math.NAShow all

14 papers · 1 filter

math.NA2024

Computation of the exponential function of matrices by a formula without oscillatory integrals on infinite intervals

Masato Suzuki, Ken'ichiro Tanaka

We propose a quadrature-based formula for computing the exponential function of matrices with a non-oscillatory integral on an infinite interval and an oscillatory integral on a fi…

math.NA2024★ 3 cited

How sharp are error bounds? --lower bounds on quadrature worst-case errors for analytic functions

Takashi Goda, Yoshihito Kazashi, Ken'ichiro Tanaka

Numerical integration over the real line for analytic functions is studied. Our main focus is on the sharpness of the error bounds. We first derive two general lower estimates for…

math.NA2022

Yet another DE-Sinc indefinite integration formula

Tomoaki Okayama, Ken'ichiro Tanaka

Based on the Sinc approximation combined with the tanh transformation, Haber derived an approximation formula for numerical indefinite integration over the finite interval (-1, 1).…

math.NA2021

Sparse solutions of the kernel herding algorithm by improved gradient approximation

Kazuma Tsuji, Ken'ichiro Tanaka

The kernel herding algorithm is used to construct quadrature rules in a reproducing kernel Hilbert space (RKHS). While the computational efficiency of the algorithm and stability o…

math.NA2021★ 1 cited

Kernel quadrature by applying a point-wise gradient descent method to discrete energies

Ken'ichiro Tanaka

We propose a method for generating nodes for kernel quadrature by a point-wise gradient descent method. For kernel quadrature, most methods for generating nodes are based on the wo…

math.NA2019★ 2 cited

Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization

Satoshi Hayakawa, Ken'ichiro Tanaka

We investigate the approximation formulas that were proposed by Tanaka & Sugihara (2019), in weighted Hardy spaces, which are analytic function spaces with certain asymptotic decay…

math.NA2019

Construction of conformal maps based on the locations of singularities for improving the double exponential formula

Shunki Kyoya, Ken'ichiro Tanaka

The double exponential formula, or the DE formula, is a high-precision integration formula using a change of variables called a DE transformation; whereas there is a disadvantage t…

math.NA2018★ 5 cited

Generation of point sets by convex optimization for interpolation in reproducing kernel Hilbert spaces

Ken'ichiro Tanaka

We propose algorithms to take point sets for kernel-based interpolation of functions in reproducing kernel Hilbert spaces (RKHSs) by convex optimization. We consider the case of ke…

math.NA2018★ 10 cited

Design of accurate formulas for approximating functions in weighted Hardy spaces by discrete energy minimization

Ken'ichiro Tanaka, Masaaki Sugihara

We propose a simple and effective method for designing approximation formulas for weighted analytic functions. We consider spaces of such functions according to weight functions ex…

math.NA2016★ 2 cited

An optimal approximation formula for functions with singularities

Ken'ichiro Tanaka, Tomoaki Okayama, Masaaki Sugihara

We propose an optimal approximation formula for analytic functions that are defined on a complex region containing the real interval and possibly have algebraic singularit…

math.NA2015★ 3 cited

Potential theoretic approach to design of accurate formulas for function approximation in symmetric weighted Hardy spaces

Ken'ichiro Tanaka, Tomoaki Okayama, Masaaki Sugihara

We propose a method for designing accurate interpolation formulas on the real axis for the purpose of function approximation in weighted Hardy spaces. In particular, we consider th…

math.NA2013★ 11 cited

Discretizing Distributions with Exact Moments: Error Estimate and Convergence Analysis

Ken'ichiro Tanaka, Alexis Akira Toda

The maximum entropy principle is a powerful tool for solving underdetermined inverse problems. This paper considers the problem of discretizing a continuous distribution, which ari…

math.NA2013★ 6 cited

Error control of a numerical formula for the Fourier transform by Ooura's continuous Euler transform and fractional FFT

Ken'ichiro Tanaka

In this paper, we consider a method for fast numerical computation of the Fourier transform of a slowly decaying function with given accuracy in given ranges of the frequency. In t…

math.NA2012

Convergence Rates and Explicit Error Bounds of Hill's Method for Spectra of Self-Adjoint Differential Operators

Ken'ichiro Tanaka, Sunao Murashige

We present the convergence rates and the explicit error bounds of Hill's method, which is a numerical method for computing the spectra of ordinary differential operators with perio…