Chung-Ki Cho
Soonchunhyang University
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Publication
Featured researches published by Chung-Ki Cho.
SIAM Journal on Numerical Analysis | 1993
YongHoon Kwon; Chung-Ki Cho
A first-order hyperbolic equation of age and time variables describes a one-sex model of population dynamics. The second-order finite difference method in the characteristic (age,time) direction is used to approximate simultaneously both the age distribution
Applied Mathematics and Computation | 2005
Chung-Ki Cho; Taekkeun Kim; YongHoon Kwon
u(x,t)
Mathematical and Computer Modelling | 2010
Jaemin Ahn; Chung-Ki Cho; Sungkwon Kang
of the solution and the total population
Computers & Mathematics With Applications | 2006
Chung-Ki Cho; Sungkwon Kang; YongHoon Kwon
P(t)
international conference on computational science and its applications | 2004
Chung-Ki Cho; Sunbu Kang; Taekkeun Kim; YongHoon Kwon
. Algorithms and error analysis are given for the second-order convergence rate.
international conference on computational science and its applications | 2004
Jaemin Ahn; Chung-Ki Cho; Sungkwon Kang; YongHoon Kwon
This paper studies a parameter estimation problem for a generalized Black-Scholes equation, which is used for option pricing. In estimating the volatility function from a set of market observations, we use an implicit finite difference scheme. The function space parameter estimation convergence (FSPEC) is proved and numerical simulations were performed.
Applied Mathematics and Computation | 2002
Chung-Ki Cho
An efficient numerical parameter estimation scheme for the space-dependent dispersion coefficient of a solute transport equation in porous media is developed. It is based on an optimization scheme, a fast inverse Laplace transform, and the Galerkin method. The computational costs of the method developed are reduced significantly compared with those of conventional methods. The accuracy and efficiency of the method are shown through numerical experiments.
SIAM Journal on Scientific Computing | 2018
Chung-Ki Cho; Byungjoon Lee; Seongjai Kim
Nonhysteretic infiltration in nonswelling soil is modelled by a nonlinear convection- diffusion equation. A parameter estimation scheme for the spatially varying soil water diffusivity is developed and its convergence is proved. A numerical simulation is performed to show the theoretical results.
Computers & Mathematics With Applications | 2006
Chung-Ki Cho; Sunbu Kang; Taekkeun Kim; YongHoon Kwon
This paper deals with American put options, which is modelled by a free boundary problem for a nonhomogeneous generalized Black-Scholes equation. We present a parameter estimation technique to compute the put option price as well as the optimal exercise curve. The forward problem of computing the put option price with a given parameter of the function space for the free boundary employs the upwind finite difference scheme. The inverse problem of minimizing the cost functional over that function space uses the Levenberg-Marquardt method. Numerical experiments show that the approximation scheme satisfies appropriate convergence properties. Our method can be applied to the case that the volatility is a function of time and asset variables.
International Journal for Numerical Methods in Fluids | 2008
Chung-Ki Cho; Seongjai Kim
Many parameter estimation problems arising in the solute transport equations in porous media involve numerous time integrations. An efficient adaptive numerical method is introduced in this paper. The method reduces the computational costs significantly compared with those of the conventional time-marching schemes due to the single time-integration, the spatial adaptiveness, and the O(log(N)) effects of the method, where N is the spatial approximation dimension. The efficiency and accuracy of the proposed algorithm is shown through a simple one-dimensional model. However, the methodology can be applied for more general multi-dimensional models.