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Fast-secant algorithms for the non-linear Richards equation

โœ Scribed by Fassino, Claudia ;Manzini, Gianmarco


Book ID
101279944
Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
169 KB
Volume
14
Category
Article
ISSN
1069-8299

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โœฆ Synopsis


Groundwater ยฏow in partially saturated porous media is modelled by using the non-linear Richards equation, which is discretized in the present work by using linear mixed-hybrid ยฎnite elements.

The discretization produces an algebraic non-linear system, which can be solved by an iterative ยฎxed-point algorithm, the Picard method. The convergence rate is linear, and may be too poor for practical applications. A superlinear convergence rate is obtained by considering a Broyden-type approach, based on the ShermannยฑMorrison formula.

The local character of the Broyden method can be overcome by an accurate estimate of the initial solution, that is by appropriately initializing the computation via some (relaxed) Picard iterations. This strategy needs a convergence criterion to decide when switching from the Picard to the quasi-Newton method, which is crucial for the eectiveness of the scheme, as illustrated by some numerical experiments.

We also consider the non-linear algebraic problem from a dierent viewpoint. Instead of applying the quasi-Newton method directly to such a non-linear system, we applied it to the non-linear function tied to the Picard scheme. Each function evaluation requested by such an algorithm corresponds to a local step of the Picard method, which is then used to compute a Broyden displacement. The present technique can be seen as an accelerated Picard algorithm.

We compare the performances of these algorithms when applied to a stationary and a time-dependent benchmark problem.


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โœ Bengt Fornberg; Tobin A. Driscoll ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 264 KB

Spectral algorithms offer very high spatial resolution for a wide range of nonlinear wave equations on periodic domains, including well-known cases such as the Korteweg-de Vries and nonlinear Schrรถdinger equations. For the best computational efficiency, one needs also to use high-order methods in ti