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        <full_title>International Journal of Applied Mathematics Computational Science and Systems Engineering</full_title>
        <issn media_type="electronic">2766-9823</issn>
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      <journal_article>
        <titles>
          <title>Numerical Simulation of Shallow Water Solitons via Radial Basis Functions and KdV Equation</title>
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        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Shrikrishna</given_name>
            <surname>Dasari</surname>
            <affiliations>
              <institution>
                <institution_name>Department of Mathematics, Mehsana Urban Institute of Sciences, Ganpat University, Mehsana, Gujarat-384012, INDIA</institution_name>
              </institution>
            </affiliations>
            <ORCID>https://orcid.org/0000-0001-8638-0398</ORCID>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Amit</given_name>
            <surname>Parikh</surname>
            <affiliations>
              <institution>
                <institution_name>Banaskantha District Kelavani Mandal G D Modi Vidya Sankul Palanpur - 385001, INDIA</institution_name>
              </institution>
            </affiliations>
            <ORCID>https://orcid.org/0000-0002-9711-9627</ORCID>
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        <jats:abstract>
          <jats:p>This technical paper describes a high-fidelity numerical framework for modeling shallow water solitary wave behavior described by the Korteweg-de Vries (KdV) equation via a MATLAB implementation of the Radial Basis Function Pseudo-Spectral (RBF-PS) method employing Gaussian basis functions and the adaptive ode113 time integrator. A systematic grid-refinement study is conducted, which reveals numerical ill-conditioning when fixed RBF shape parameters are employed. This problem is successfully resolved via a grid-dependent shape parameter search (e.g., s = [1.11, 1.20, 1.25] for n = [100, 200, 300]), leading to spectral-like convergence behavior. The presented framework is ascertained rigorously with analytical soliton solutions, conservation of physical invariants (mass and momentum), as well as extensive convergence studies covering both spatial (grid convergence) and temporal (time-step refinement) tests. These confirm the high-order accuracy, numerical stability and robustness of the method. The results here validate the proposed RBF-PS method as an accurate, robust and physically consistent computational procedure for simulating nonlinear dispersive wave physics. Furthermore, it highlights that choosing the shape parameter adaptively improves the accuracy and stability of RBF-based numerical methods.</jats:p>
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        <publication_date media_type="print">
          <month>07</month>
          <day>15</day>
          <year>2026</year>
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        <publication_date media_type="online">
          <month>07</month>
          <day>15</day>
          <year>2026</year>
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        <pages>
          <first_page>76</first_page>
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          <item_number item_number_type="article_number">8</item_number>
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          <doi>10.37394/232026.2026.8.8</doi>
          <resource>https://wseas.com/journals/amcse/2026/a16amcse-008(2026).pdf</resource>
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        <citation_list>
          <citation key="ref0">
            <unstructured_citation>Russell, J.S. (1838) Report of the Committee on Waves. Report of the 7th Meeting of British Association for the Advancement of Science, John Murray, London, 417-496.</unstructured_citation>
          </citation>
          <citation key="ref1">
            <unstructured_citation>Korteweg, D. J., &amp; de Vries, G. (1895). On the change of form of long waves advancing in a rectangular canal, and on a new type of long stationary waves. Philosophical Magazine, 39(240), 422–443.5 https://doi.org/10.1080/14786449508620739</unstructured_citation>
          </citation>
          <citation key="ref2">
            <unstructured_citation>Whitham, G. B. (1974). Linear and nonlinear waves. John Wiley &amp; Sons. https://doi.org/10.1002/9781118033036</unstructured_citation>
          </citation>
          <citation key="ref3">
            <unstructured_citation>Drazin, P. G., &amp; Johnson, R. S. (1989). Solitons: An introduction. Cambridge University Press. https://doi.org/10.1017/CBO9780511811908</unstructured_citation>
          </citation>
          <citation key="ref4">
            <unstructured_citation>Zabusky, N. J., &amp; Kruskal, M. D. (1965). Interaction of “solitons” in a collisionless plasma and the recurrence of initial states. Physical Review Letters, 15(6),8 240–243. https://doi.org/10.1103/PhysRevLett.15.240</unstructured_citation>
          </citation>
          <citation key="ref5">
            <unstructured_citation>Trefethen, L. N. (2000). Spectral methods in MATLAB. SIAM (Society for Industrial and Applied Mathematics). https://doi.org/10.1137/1.9780898719598</unstructured_citation>
          </citation>
          <citation key="ref6">
            <unstructured_citation>Kumar, S., &amp; Pandit, S. (2020). A comparative study of numerical schemes for the Kortewegde Vries equation. Communications in Nonlinear Science and Numerical Simulation, 85, 105229. https://doi.org/10.1016/j.cnsns.2020.105229</unstructured_citation>
          </citation>
          <citation key="ref7">
            <unstructured_citation>Hardy, R. L. (1971). Multiquadric equations of topography and other irregular surfaces. Journal of Geophysical Research, 76(8), 1905-1915. https://doi.org/10.1029/JB076i008p01905</unstructured_citation>
          </citation>
          <citation key="ref8">
            <unstructured_citation>Kansa, E. J. (1990). Multiquadric-A scattered data approximation scheme with applications to computational fluid-dynamics-II solutions to parabolic, hyperbolic and elliptic partial differential equations.3 Computers &amp; Mathematics with Applications, 19(8-9), 147- 161 https://doi.org/10.1016/0898- 1221(90)90271-K</unstructured_citation>
          </citation>
          <citation key="ref9">
            <unstructured_citation>Fasshauer, G. E. (2007). Meshfree approximation methods with MATLAB. World Scientific Publishing Co. Pte. Ltd. https://doi.org/10.1142/6437</unstructured_citation>
          </citation>
          <citation key="ref10">
            <unstructured_citation>Dasari, S., &amp; Parikh, A. (2023). Meshless radial basis function pseudo-spectral method for solving non-linear KdV equation. Communications in Mathematics and Applications, 14(3), 1153-1160. https://doi.org/10.26713/cma.v14i3.2376</unstructured_citation>
          </citation>
          <citation key="ref11">
            <unstructured_citation>Ahmed, N., &amp; Ali, Z. (2021). A localized RBF meshless method for solving the generalized Korteweg-de Vries equation. Alexandria Engineering Journal, 60(1), 1315- 1326. https://doi.org/10.1016/j.aej.2020.10.054</unstructured_citation>
          </citation>
          <citation key="ref12">
            <unstructured_citation>Schaback, R. (1995). Error estimates and condition numbers for radial basis function interpolation. Advances in Computational Mathematics,7 3(1), 251–264. https://doi.org/10.1007/BF02124636</unstructured_citation>
          </citation>
          <citation key="ref13">
            <unstructured_citation>Fornberg, B., &amp; Flyer, N. (2015). A primer on radial basis functions with applications to the geosciences. SIAM (Society for Industrial and Applied Mathematics). https://doi.org/10.1137/1.9781611974041</unstructured_citation>
          </citation>
          <citation key="ref14">
            <unstructured_citation>Bayona, V. (2022). On the selection of the shape parameter for RBF-FD approximations. Journal of Computational Physics, 452, 110900. https://doi.org/10.1016/j.jcp.2021.110900</unstructured_citation>
          </citation>
          <citation key="ref15">
            <unstructured_citation>Buhmann, M. D. (2003). Radial basis functions: Theory and implementations. Cambridge University Press. https://doi.org/10.1017/CBO9780511543241</unstructured_citation>
          </citation>
          <citation key="ref16">
            <unstructured_citation>Wendland, H. (2005). Scattered data approximation. Cambridge University Press https://doi.org/10.1017/CBO9780511617539</unstructured_citation>
          </citation>
          <citation key="ref17">
            <unstructured_citation>Flyer, N., &amp; Wright, G. B. (2007). Transport schemes on a sphere using radial basis functions. Journal of Computational Physics, 226(1), 1059-1084. https://doi.org/10.1016/j.jcp.2007.05.009</unstructured_citation>
          </citation>
          <citation key="ref18">
            <unstructured_citation>Fornberg, B., &amp; Piret, C. (2008). A stable algorithm for flat radial basis functions on a sphere. SIAM Journal on Scientific Computing, 30(1), 60-80. https://doi.org/10.1137/060671991</unstructured_citation>
          </citation>
          <citation key="ref19">
            <unstructured_citation>Beatson, R. K., Light, W. A., &amp; Billings, S. (2020). Fast solution of the radial basis function interpolation equations: Domain decomposition methods. SIAM Journal on Scientific Computing, 42(3), A1237-A1260. https://doi.org/10.1137/S1064827599361771</unstructured_citation>
          </citation>
          <citation key="ref20">
            <unstructured_citation>Fornberg, B. (1998). A practical guide to pseudospectral methods. Cambridge University Press. https://doi.org/10.1017/S0013091500020125</unstructured_citation>
          </citation>
        </citation_list>
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