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Dive into the research topics where Fatih Celiker is active.

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Featured researches published by Fatih Celiker.


Mathematics of Computation | 2007

Superconvergence of the numerical traces of discontinuous Galerkin and hybridized methods for convection-diffusion problems in one space dimension

Fatih Celiker; Bernardo Cockburn

In this paper, we uncover and study a new superconvergence property of a large class of finite element methods for one-dimensional convection-diffusion problems. This class includes discontinuous Galerkin methods defined in terms of numerical traces, discontinuous Petrov-Galerkin methods and hybridized mixed methods. We prove that the so-called numerical traces of both variables superconverge at all the nodes of the mesh, provided that the traces are conservative, that is, provided they are single-valued. In particular, for is local discontinuous Galerkin method, we show that the superconvergence is order 2p + 1 when polynomials of degree at most p are used. Extensive numerical results verifying our theoretical results are displayed.


SIAM Journal on Numerical Analysis | 2006

Locking-Free Optimal Discontinuous Galerkin Methods for Timoshenko Beams

Fatih Celiker; Bernardo Cockburn; Henryk K. Stolarski

In this paper, we consider the so-called


Journal of Scientific Computing | 2010

Hybridizable Discontinuous Galerkin Methods for Timoshenko Beams

Fatih Celiker; Bernardo Cockburn; Ke Shi

hp


Iet Image Processing | 2010

Fast colour space transformations using minimax approximations

M. Emre Celebi; Hassan A. Kingravi; Fatih Celiker

-version of discontinuous Galerkin methods for Timoshenko beams. We prove that, when the numerical traces are properly chosen, the methods display optimal convergence uniformly with respect to the thickness of the beam. These methods are thus free from shear locking. We also prove that, when polynomials of degree


Pattern Recognition | 2011

On Euclidean norm approximations

M. Emre Celebi; Fatih Celiker; Hassan A. Kingravi

p


Journal of Scientific Computing | 2006

Element-by-Element Post-Processing of Discontinuous Galerkin Methods for Timoshenko Beams

Fatih Celiker; Bernardo Cockburn

are used, all the numerical traces superconverge with a rate of order


Mathematics of Computation | 2012

A projection-based error analysis of HDG methods for Timoshenko beams

Fatih Celiker; Bernardo Cockburn; Ke Shi

h^{2p+1}/p^{2p+1}


Journal of Mathematical Physics | 2016

On a class of nonlocal wave equations from applications

Horst Reinhard Beyer; Burak Aksoylu; Fatih Celiker

. Numerical experiments verifying the above-mentioned theoretical results are shown.


Journal of Scientific Computing | 2012

Nodal Superconvergence of SDFEM for Singularly Perturbed Problems

Fatih Celiker; Zhimin Zhang; Huiqing Zhu

In this paper, we introduce a new class of discontinuous Galerkin methods for Timoshenko beams. The main feature of these methods is that they can be implemented in an efficient way through a hybridization procedure which reduces the globally coupled unknowns to approximations to the displacement and bending moment at the element boundaries. After displaying the methods, we obtain conditions under which they are well defined. We then compare these new methods with the already existing discontinuous Galerkin methods for Timoshenko beams. Finally, we display extensive numerical results to ascertain the influence of the stabilization parameters on the accuracy of the approximation. In particular, we find specific choices for which all the variables, namely, the displacement, the rotation, the bending moment and the shear force converge with the optimal order of k+1 when each of their approximations are taken to be piecewise polynomial of degree k≥0.


ENUMATH | 2016

Comparison of Nonlocal Operators Utilizing Perturbation Analysis

Burak Aksoylu; Fatih Celiker

Colour space transformations are frequently used in image processing, graphics and visualisation applications. In many cases, these transformations are complex non-linear functions, which prohibit their use in time-critical applications. A new approach called minimax approximations for colour space transformations (MACT) is presented. The authors demonstrate MACT on three commonly used colour space transformations. Extensive experiments on a large and diverse image set and comparisons with well-known multidimensional look-up table interpolation methods show that MACT achieves an excellent balance among four criteria: ease of implementation, memory usage, accuracy and computational speed.

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Burak Aksoylu

United States Army Research Laboratory

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Hassan A. Kingravi

Georgia Institute of Technology

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M. Emre Celebi

University of Central Arkansas

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Horst Reinhard Beyer

TOBB University of Economics and Technology

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Orsan Kilicer

Middle East Technical University

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Huiqing Zhu

University of Southern Mississippi

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Li Fan

Wayne State University

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