We present a method constructing a function which is the best approximation for given data and satisfiesthe given self-similar condition. For this, we construct a space F of local self-similar fractal functions and show its properties. Next we present a computational scheme constructing the best fractal approximation in this space and estimate an error of the constructed fractal approximation. Our best fractal approximation is a fixed point of some fractal interpolation function.
Published in | International Journal of Theoretical and Applied Mathematics (Volume 3, Issue 1) |
DOI | 10.11648/j.ijtam.20170301.12 |
Page(s) | 11-18 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
Fractal Interpolation, Fractal Approximation, Iterated Function System, Fractal Function Space
[1] | M. F. Barnsley, Fractals Everywhere, Academic Press, New York, 1988. |
[2] | M. F. Barnsley, Fractal functions and interpolation, Constr. Approx. 2(1) (1986) 303–329. |
[3] | M. F. Barnsley, J. H. Elton, D. P. Hardin, Recurrent iterated function systems, Constr. Approx. 5(1) (1989) 3–31. |
[4] | P. Bouboulis, L. Dalla, A general construction of fractal interpolation functions ongridsof Rn, European J. Appl. Math. 18(4) (2007) 449–476. |
[5] | P. Bouboulis, L. Dalla, Fractal interpolation surfaces derived from fractal interpolationfunctions, J. Math. Anal. Appl. 336(2) (2007) 919–936. |
[6] | P. Bouboulis, L. Dalla, V. Drakopoulos Construction of recurrent bivariate fractal interpolation surfaces and computation of their boxcounting dimension, J. Approx. Theory 141 (2006) 99–117. |
[7] | P. Bouboulis, M. Mavroforakis, Reproducing kernel Hilbert spaces and fractal interpolation, J. Comput. Appl. Math. 235 (2011) 3425–3434. |
[8] | A. K. B. Chand, G. P. Kapoor, Generalized cubic spline fractal interpolation functions, SIAM J. Numer. Anal. 44(2) (2006) 655–676. |
[9] | L. Dalla, Bivariated fractal interpolation functions on grids, Fractals 10(1) (2002) 53-58. |
[10] | Z. G. Feng, Y. Z. Feng, Z. Y. Yuan, Fractal interpolation surfaces with function verticalscaling factors, Appl. Math. Lett. 25(11) (2012) 1896–1900. |
[11] | R. Malysz, The Minkowski dimension of the bivariate fractal interpolation surfaces, Chaos Solitons Fractals 27(5) (2006) 1147–1156. |
[12] | P. R. Massopust, Fractal Functions and their applications, Chaos Solitons Fractals 8(2) (1997) 171–190. |
[13] | W. Metzler, C. H. Yun, Construction of fractal interpolation surfaces on rectangulargrids, Internat. J. Bifur. Chaos 20(12) (2010) 4079–4086. |
[14] | M. A. Navascues, M. V. Sebastian, Generalization of Hermite functions by fractalinterpolation, J. Approx. Theory 131(1) (2004) 19–29. |
[15] | S. Lonardi, P. Sommaruga, Fractal image approximation and orthogonal bases, SignalProcess. Image Commun. 14(5) (1999) 413–423. |
[16] | Y. S. Kang, C. H. Yun, A construction of best fractal approximation, Electron. J. Math. Anal. Appl. 2(2) (2014) 144–151. |
[17] | C. H. Yun, H. C. Choi, H. C. O, Construction of fractal surfaces by recurrent fractal interpolation curves, Chaos Solitons Fractals 66(2014) 136–143. |
[18] | H. Zhang, R. Tao, S. Zhou, Y. Wang, Wavelet-based fractal function approxmation,J. Syst. Engrg. Electron. 10(4) (1999) 60–66. |
APA Style
Yong-Suk Kang, Myong-Gil Rim. (2016). A Method of the Best Approximation by Fractal Function. International Journal of Theoretical and Applied Mathematics, 3(1), 11-18. https://doi.org/10.11648/j.ijtam.20170301.12
ACS Style
Yong-Suk Kang; Myong-Gil Rim. A Method of the Best Approximation by Fractal Function. Int. J. Theor. Appl. Math. 2016, 3(1), 11-18. doi: 10.11648/j.ijtam.20170301.12
AMA Style
Yong-Suk Kang, Myong-Gil Rim. A Method of the Best Approximation by Fractal Function. Int J Theor Appl Math. 2016;3(1):11-18. doi: 10.11648/j.ijtam.20170301.12
@article{10.11648/j.ijtam.20170301.12, author = {Yong-Suk Kang and Myong-Gil Rim}, title = {A Method of the Best Approximation by Fractal Function}, journal = {International Journal of Theoretical and Applied Mathematics}, volume = {3}, number = {1}, pages = {11-18}, doi = {10.11648/j.ijtam.20170301.12}, url = {https://doi.org/10.11648/j.ijtam.20170301.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20170301.12}, abstract = {We present a method constructing a function which is the best approximation for given data and satisfiesthe given self-similar condition. For this, we construct a space F of local self-similar fractal functions and show its properties. Next we present a computational scheme constructing the best fractal approximation in this space and estimate an error of the constructed fractal approximation. Our best fractal approximation is a fixed point of some fractal interpolation function.}, year = {2016} }
TY - JOUR T1 - A Method of the Best Approximation by Fractal Function AU - Yong-Suk Kang AU - Myong-Gil Rim Y1 - 2016/12/09 PY - 2016 N1 - https://doi.org/10.11648/j.ijtam.20170301.12 DO - 10.11648/j.ijtam.20170301.12 T2 - International Journal of Theoretical and Applied Mathematics JF - International Journal of Theoretical and Applied Mathematics JO - International Journal of Theoretical and Applied Mathematics SP - 11 EP - 18 PB - Science Publishing Group SN - 2575-5080 UR - https://doi.org/10.11648/j.ijtam.20170301.12 AB - We present a method constructing a function which is the best approximation for given data and satisfiesthe given self-similar condition. For this, we construct a space F of local self-similar fractal functions and show its properties. Next we present a computational scheme constructing the best fractal approximation in this space and estimate an error of the constructed fractal approximation. Our best fractal approximation is a fixed point of some fractal interpolation function. VL - 3 IS - 1 ER -