Among the different techniques for interpolation/approximation of sparse data, Spline interpolation represents one of the most popular alternatives. It is largely used for one-dimensional and two-dimensional problems, but the use in case of multi-dimensional datasets, where the space dimension is larger than 2, is not common. The necessity of a topology for the sample data, so that the proximal points are clearly identified, put some difficulties even in . Furthermore, the classical Spline algorithms are not straightforward to implement, so that for this reason probably they are not widely applied in ship design optimisation, and other interpolation techniques are much more popular. In this paper, some elements of Spline interpolation theory are presented in order to produce a simple and efficient multi-dimensional interpolation method, easy to implement.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Easy-to-implement multidimensional spline interpolation with application to ship design optimisation


    Beteiligte:
    Peri, Daniele (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2018-01-02


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Holistic Ship Design Optimisation

    Papanikolaou, Apostolos | Springer Verlag | 2018





    Design and Implement on Intelligent Target Ship for Ship Handling Simulator

    Wang, X.H. / Yang, S.H. / Chen, G.Q. | British Library Conference Proceedings | 2011