The efficient numerical solution of fractional differential equations has been recently tackled through the definition of Fractional HBVMs (FHBVMs), a class of Runge-Kutta type methods. Corresponding Matlab© codes have been also made available on the internet, proving to be very competitive w.r.t. existing ones. However, so far, FHBVMs have been given for solving systems of fractional differential equations with the same order of fractional derivative, whereas the numerical solution of multi-order problems (i.e., problems in which different orders of fractional derivatives occur) has not been handled, yet. Due to their relevance in applications, in this paper we propose an extension of FHBVMs for addressing fractional multi-order problems, providing full details for such an approach. A corresponding Matlab© code, handling the case of two different fractional orders, is also made available, proving very effective for numerically solving these problems.

A Multi-Order Extension of Fractional HBVMs (FHBVMs) / Luigi Brugnano, Gianmarco Gurioli, Felice Iavernaro, Mikk Vikeerpur. - In: JOURNAL OF SCIENTIFIC COMPUTING. - ISSN 0885-7474. - STAMPA. - 107:(2026), pp. 94.1-94.39. [10.1007/s10915-026-03315-7]

A Multi-Order Extension of Fractional HBVMs (FHBVMs)

Luigi Brugnano
;
Gianmarco Gurioli;
2026

Abstract

The efficient numerical solution of fractional differential equations has been recently tackled through the definition of Fractional HBVMs (FHBVMs), a class of Runge-Kutta type methods. Corresponding Matlab© codes have been also made available on the internet, proving to be very competitive w.r.t. existing ones. However, so far, FHBVMs have been given for solving systems of fractional differential equations with the same order of fractional derivative, whereas the numerical solution of multi-order problems (i.e., problems in which different orders of fractional derivatives occur) has not been handled, yet. Due to their relevance in applications, in this paper we propose an extension of FHBVMs for addressing fractional multi-order problems, providing full details for such an approach. A corresponding Matlab© code, handling the case of two different fractional orders, is also made available, proving very effective for numerically solving these problems.
2026
107
1
39
Luigi Brugnano, Gianmarco Gurioli, Felice Iavernaro, Mikk Vikeerpur
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1469012
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