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Towards a reliable implementation of least-squares collocation for higher index differential-algebraic equations—Part 1: basics and ansatz function choices
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Numerical Analysis, NA.ORCID iD: 0000-0003-4950-6646
2022 (English)In: Numerical Algorithms, ISSN 1017-1398, E-ISSN 1572-9265, Vol. 89, no 3, p. 931-963Article in journal (Refereed) Published
Abstract [en]

In the two parts of the present note we discuss several questions concerning the implementation of overdetermined least-squares collocation methods for higher index differential-algebraic equations (DAEs). Since higher index DAEs lead to ill-posed problems in natural settings, the discrete counterparts are expected to be very sensitive, which attaches particular importance to their implementation. In the present Part 1, we provide a robust selection of basis functions and collocation points to design the discrete problem. We substantiate a procedure for its numerical solution later in Part 2. Additionally, in Part 1, a number of new error estimates are proven that support some of the design decisions. 

Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 89, no 3, p. 931-963
Keywords [en]
Higher index differential-algebraic equations, Ill-posed problem, Least-squares collocation
National Category
Computational Mathematics Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-309929DOI: 10.1007/s11075-021-01140-7ISI: 000661781500003Scopus ID: 2-s2.0-85107959733OAI: oai:DiVA.org:kth-309929DiVA, id: diva2:1645105
Note

QC 20220316

Available from: 2022-03-16 Created: 2022-03-16 Last updated: 2022-06-25Bibliographically approved

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Hanke, Michael

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