Develops a Laguerre spectral minimum action method with time rescaling and improved quadrature for efficient quasi-potential computation in infinite-horizon problems.
Efficient scaling and moving techniques for spectral methods in unbounded domains
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Modified recurrence for Laguerre polynomials reduces round-off errors, enabling stable spectral solutions with over 1000 bases and near machine precision for elliptic equations on the half-line.
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An Efficient Laguerre Minimum Action Method for Computing Quasi-Potentials
Develops a Laguerre spectral minimum action method with time rescaling and improved quadrature for efficient quasi-potential computation in infinite-horizon problems.
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Improved Laguerre Spectral Methods with Less Round-off Errors and Better Stability
Modified recurrence for Laguerre polynomials reduces round-off errors, enabling stable spectral solutions with over 1000 bases and near machine precision for elliptic equations on the half-line.