E101 - Institut für Analysis und Scientific Computing
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Journal:
Applied Numerical Mathematics
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ISSN:
0168-9274
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Date (published):
2024
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Number of Pages:
16
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Publisher:
ELSEVIER
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Peer reviewed:
Yes
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Keywords:
Gauss-Legendre collocation methods; Hamiltonian boundary value methods; Least squares collocation methods; Line integral methods
en
Abstract:
We consider overdetermined collocation methods and propose a weighted least squares approach to derive a numerical solution. The discrete problem requires the evaluation of the Jacobian of the vector field which, however, appears in a O(h) term, h being the stepsize. We show that, by neglecting this infinitesimal term, the resulting scheme becomes a low-rank Runge–Kutta method. Among the possible choices of the weights distribution, we analyze the one based on the quadrature formula underlying the collocation conditions. A few numerical illustrations are included to better elucidate the potential of the method.