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Dive into the research topics where Yin-Tzer Shih is active.

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Featured researches published by Yin-Tzer Shih.


Journal of Scientific Computing | 2010

A Tailored Finite Point Method for Convection-Diffusion-Reaction Problems

Yin-Tzer Shih; R. Bruce Kellogg; Peishan Tsai

We study a tailored finite point method (TFPM) for solving the convection-diffusion-reaction equation. The solution basis functions for the TFPM are constructed for a 5 point, 7 point and 9 point stencil. Some truncation error calculations are given. Numerical tests are given on problems containing a boundary or interior layer. The tests compare TFPM with several versions of a Petrov-Galerkin finite element schemes, and suggest that TFPM gives a superior resolution of the layers.


Journal of Scientific Computing | 2011

Characteristic Tailored Finite Point Method for Convection-Dominated Convection-Diffusion-Reaction Problems

Yin-Tzer Shih; R. Bruce Kellogg; Yoyo Chang

In this paper, we propose a characteristic tailored finite point method (CTFPM) for solving the convection-diffusion-reaction equation with variable coefficients. We develop an algorithm to construct a streamline-aligned grid for the CTFPM. Our numerical tests show for small diffusion coefficient the CTFPM solution resolves the internal and boundary layers regardless the mesh size, and depicts that CTFPM method with a streamline grid has excellent performance compared with the tailored finite point method and a streamline upwind finite element method when ε is small.


Journal of Scientific Computing | 2017

Tailored Finite Point Methods for Solving Singularly Perturbed Eigenvalue Problems with Higher Eigenvalues

Yin-Tzer Shih; Dongsheng Yin

We study tailored finite point methods (TFPM) for solving the singularly perturbed eigenvalue (SPE) problems. We first provide an asymptotic analysis for the eigenpairs and show that for some special potential functions when


Archive | 2016

An Explicit and Implicit Tailored Finite Point Method for Option Pricing Simulation

Yu-Tuan Lin; Yin-Tzer Shih; Hui-Ching Wang


Communications in Computational Physics | 2011

A Tailored Finite Point Method for Solving Steady MHD Duct Flow Problems with Boundary Layers

Po-Wen Hsieh; Yin-Tzer Shih; Suh-Yuh Yang

\varepsilon


Ima Journal of Numerical Analysis | 2000

Iterative methods for stabilized discrete convection-diffusion problems

Yin-Tzer Shih; Howard C. Elman


Communications in Computational Physics | 2016

A Novel Technique for Constructing Difference Schemes for Systems of Singularly Perturbed Equations

Po-Wen Hsieh; Yin-Tzer Shih; Suh-Yuh Yang; Cheng-Shu You

ε approaches to zero the square of eigenfunction converges to a Dirac delta function weakly, and the eigenvalue converges to the minimum value of the potential function. For computing the eigenfunction with higher eigenvalue we propose two variants of TFPM for one-dimensional SPE problems and a nonlinear least square TFPM for two-dimensional problems. The eigenfunction with higher eigenvalue can be easily computed on a related coarse mesh on numerical tests, and suggests that the proposed schemes are accurate and efficient for the SPE problems.


Advances in Applied Mathematics and Mechanics | 2014

Tailored Finite Point Method for Numerical Solutions of Singular Perturbed Eigenvalue Problems

Yin-Tzer Shih; Chih-Ching Tsai

In this paper we propose an explicit and implicit tailored finite point (EITFP) method for solving a finance object—the European option pricing. We derive a diffusion equation from the Black–Scholes equation in dealing with both European call option and European put option. The performance of the EITFP has been compared with popular numerical schemes, and the numerical experiment shows that the EITFP is accurate. Furthermore, the EITFP is efficient for being implemented by using a multi-core parallelized acceleration with CPU and Graphics Processing Unit (GPU) for the option computation.


International Journal of Computer Mathematics | 2017

Tailored finite point method for solving one-dimensional Burgers' equation

Chih-Ching Tsai; Yin-Tzer Shih; Yu-Tuan Lin; Hui-Ching Wang


Communications in Computational Physics | 2016

Pseudo-Arclength Continuation Algorithms for Binary Rydberg-Dressed Bose-Einstein Condensates

Sirilak Sriburadet; Y.-S. Wang; C.-S. Chien; Yin-Tzer Shih

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Chih-Ching Tsai

National Chung Hsing University

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R. Bruce Kellogg

University of South Carolina

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Hui-Ching Wang

National Chung Hsing University

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Peishan Tsai

National Chung Hsing University

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Po-Wen Hsieh

National Central University

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Suh-Yuh Yang

National Central University

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C.-S. Chien

National Chung Hsing University

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Cheng-Shu You

National Central University

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Yoyo Chang

National Chung Hsing University

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