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

24 papers

math.OC2026

Convergence analysis of dynamical systems for optimization by an improved Lyapunov framework

Atsushi Tabei, Ken'ichiro Tanaka

We study the convergence analysis of continuous-time dynamical systems associated with optimization methods for strongly convex functions. Recent works have proposed systematic con…

math.OC2025

Computer-Assisted Search for Differential Equations Corresponding to Optimization Methods and Their Convergence Rates

Atsushi Tabei, Ken'ichiro Tanaka

Let be a continuously differentiable convex function with its minimizer denoted by and optimal value . Optimization algorithms s…

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.OC2023

Accelerated gradient descent method for functionals of probability measures by new convexity and smoothness based on transport maps

Ken'ichiro Tanaka

We consider problems of minimizing functionals of probability measures on the Euclidean space. To propose an accelerated gradient descent algorithm for such problems,…

math.FA2022

Wavelet characterization of exponentially weighted Besov space with dominating mixed smoothness and its application to function approximation

Yoshihiro Kogure, Ken'ichiro Tanaka

Although numerous studies have focused on normal Besov spaces, limited studies have been conducted on exponentially weighted Besov spaces. Therefore, we define exponentially weight…

math-ph2022

Skeleton structure inherent in discrete-time quantum walks

Tomoki Yamagami, Etsuo Segawa, Ken'ichiro Tanaka +4

In this paper, we claim that a common underlying structure--a skeleton structure--is present behind discrete-time quantum walks (QWs) on a one-dimensional lattice with a homogeneou…

math.AP2022★ 1 cited

Convergence rates for energies of interacting particles whose distribution spreads out as their number increases

Patrick van Meurs, Ken'ichiro Tanaka

We consider a class of particle systems which appear in various applications such as approximation theory, plasticity, potential theory and space-filling designs. The positions of…

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.OC2021★ 3 cited

Sparser Kernel Herding with Pairwise Conditional Gradients without Swap Steps

Kazuma Tsuji, Ken'ichiro Tanaka, Sebastian Pokutta

The Pairwise Conditional Gradients (PCG) algorithm is a powerful extension of the Frank-Wolfe algorithm leading to particularly sparse solutions, which makes PCG very appealing for…

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.PR2020★ 8 cited

Monte Carlo construction of cubature on Wiener space

Satoshi Hayakawa, Ken'ichiro Tanaka

In this paper, we investigate application of mathematical optimization to construction of a cubature formula on Wiener space, which is a weak approximation method of stochastic dif…

stat.CO2020

Maximum likelihood estimation of the Fisher-Bingham distribution via efficient calculation of its normalizing constant

Yici Chen, Kenichiro Tanaka

This paper proposes an efficient numerical integration formula to compute the normalizing constant of Fisher--Bingham distributions. This formula uses a numerical integration formu…

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…

cs.DM2018

Counting Integral Points in Polytopes via Numerical Analysis of Contour Integration

Hiroshi Hirai, Ryunosuke Oshiro, Ken'ichiro Tanaka

In this paper, we address the problem of counting integer points in a rational polytope described by , where is an $n \t…

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…