activity
20012026
most citedGammaCHI: a package for the inversion and computation of the gamma and chi-square cumulative distribution functions (central and noncentral)

19 citations · 127 across the 51 of their papers we have counts for

collaborators

54 papers

math.CA2026

Sharp two-sided bounds for the product of modified Bessel functions and for its logarithmic derivative

Javier Segura, Soichiro Suzuki

We prove that, for all , the product of modified Bessel functions satisfies \[ \frac{1}{2\sqrt{x^2+ν^2+1/5}}<I_ν(x)K_ν(x)<\frac{1}{2\sqrt{x^2+ν^2-1/4}} , \] where the lower…

math.CA2026

Optimized bounds for the product and the ratios of modified Bessel functions

Javier Segura, Soichiro Suzuki

New sharp bounds for the product and the ratios of modified Bessel functions are presented. Most bounds for the product are derived as direct consequences of previously established…

math.NA2024

A numerical algorithm for computing the zeros of parabolic cylinder functions in the complex plane

T. M. Dunster, A. Gil, D. Ruiz-Antolín +1

A numerical algorithm (implemented in Matlab) for computing the zeros of the parabolic cylinder function in domains of the complex plane is presented. The algorithm uses a…

math.CA2024

McMahon-type asymptotic expansions of the zeros of the Coulomb wave functions

Amparo Gil, Javier Segura, Nico M. Temme

We derive asymptotic expansions of the large zeros of the Coulomb wave functions and for those of their derivatives. The new expansions have the same form as the McMahon expansions…

math.NA2023

Analysis of difference schemes for the Fokker-Planck angular diffusion operator

Óscar López Pouso, Javier Segura

This paper is dedicated to the mathematical analysis of finite difference schemes for the angular diffusion operator present in the azimuth-independent Fokker-Planck equation. The…

math.PR2023★ 1 cited

New asymptotic representations of the noncentral -distribution

Amparo Gil, Javier Segura, Nico M Temme

New asymptotic approximations of the non-central distribution are given, a generalization of the Student's distribution. Using new integral representations, we give new asy…