Debugging in MuPAD

Fuchssteiner, Benno; Wiwianka, Waldemar; Gottheil, Klaus; Kemper, Andreas; Kluge, Oliver; Morisse, K.; Naundorf, Holger; Oevel, Gudrun; Schulze, Thorsten

doi:10.1007/978-3-0348-9122-6_4

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2022

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“…The symbolical results in this file are then readily accessible as a function for computing the spline approximation with function spline4order. Note that for the computer algebra, the MATLAB interface to MuPAD is called [21,22]. All the essential codes, including future developments, will be made available for public use [23].…”

Section: Matlab Programmentioning

confidence: 99%

A Matrix Spline Method for a Class of Fourth-Order Ordinary Differential Problems

et al. 2022

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Differential matrix models provide an elementary blueprint for the adequate and efficient treatment of many important applications in science and engineering. In the present work, we suggest a procedure, extending our previous research results, to represent the solutions of nonlinear matrix differential problems of fourth order given in the form Y(4)(x)=f(x,Y(x)) in terms of higher-order matrix splines. The corresponding algorithm is explained, and some numerical examples for the illustration of the method are included.

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Section: Matlab Programmentioning

confidence: 99%