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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

Hanke, Michael (author)
KTH,Numerisk analys, NA
März, R. (author)
 (creator_code:org_t)
2021-06-15
2022
English.
In: Numerical Algorithms. - : Springer Nature. - 1017-1398 .- 1572-9265. ; 89:3, s. 931-963
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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. 

Subject headings

NATURVETENSKAP  -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Computational Mathematics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

Higher index differential-algebraic equations
Ill-posed problem
Least-squares collocation

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ref (subject category)
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Hanke, Michael
März, R.
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NATURAL SCIENCES
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ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
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Numerical Algori ...
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Royal Institute of Technology

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