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A Method of the Best Approximation by Fractal Function

Received: 7 September 2016    Accepted: 5 November 2016    Published: 9 December 2016
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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.

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), 2024. Published by Science Publishing Group

Keywords

Fractal Interpolation, Fractal Approximation, Iterated Function System, Fractal Function Space

References
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[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.
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[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.
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Cite This Article
  • 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

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    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

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    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

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  • @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}
    }
    

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    JO  - International Journal of Theoretical and Applied Mathematics
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    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.
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Author Information
  • Faculty of Mathematics, Kim Il Sung University, Pyongyang, DPR Korea

  • Faculty of Mathematics, Kim Il Sung University, Pyongyang, DPR Korea

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