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Mathematical Methods in Engineering pp 161–190Cite as

Comparison on Solving a Class of Nonlinear Systems of Partial Differential Equations and Multiple Solutions of Second Order Differential Equations

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Part of the book series: Nonlinear Systems and Complexity ((NSCH,volume 23))

Abstract

We apply the reproducing kernel Hilbert space method to a class of nonlinear systems of partial differential equations and to get multiple solutions of second order differential equations. We have reached meaningful results. These results have been depicted by figures. This method is a very impressive technique for solving nonlinear systems of partial differential equations and second order differential equations.

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References

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Author information

Authors and Affiliations

  1. Siirt University, Art and Science Faculty, Department of Mathematics, Siirt, Turkey

    Ali Akgül

  2. Siirt University, Faculty of Education, Department of Mathematics, Siirt, Turkey

    Esra Karatas Akgül

  3. University of Hafr Al-Batin, Department of Mathematics, Hafr Al-Batin, Saudi Arabia

    Yasir Khan

  4. Department of Mathematics, Çankaya University, Ankara, Turkey

    Dumitru Baleanu

Authors
  1. Ali Akgül
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  2. Esra Karatas Akgül
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  3. Yasir Khan
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  4. Dumitru Baleanu
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Editor information

Editors and Affiliations

  1. Department of Mathematics, Çankaya University, Ankara, Turkey

    Kenan Taş

  2. Department of Mathematics, Çankaya University, Ankara, Turkey

    Dumitru Baleanu

  3. Instituto Superior de Engenharia do Porto, Porto, Portugal

    J. A. Tenreiro Machado

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Akgül, A., Akgül, E.K., Khan, Y., Baleanu, D. (2019). Comparison on Solving a Class of Nonlinear Systems of Partial Differential Equations and Multiple Solutions of Second Order Differential Equations. In: Taş, K., Baleanu, D., Machado, J. (eds) Mathematical Methods in Engineering. Nonlinear Systems and Complexity, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-91065-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-91065-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91064-2

  • Online ISBN: 978-3-319-91065-9

  • eBook Packages: EngineeringEngineering (R0)

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