1984
DOI: 10.1016/0021-9991(84)90081-0
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Conservative numerical methods for

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Cited by 87 publications
(51 citation statements)
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“…Then, (16) is clearly equivalent to the following nonlinear differential system in R N h (where U h (t) is the vector of the degrees of freedom of u h (t))…”
Section: Semi-discretization In Spacementioning
confidence: 99%
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“…Then, (16) is clearly equivalent to the following nonlinear differential system in R N h (where U h (t) is the vector of the degrees of freedom of u h (t))…”
Section: Semi-discretization In Spacementioning
confidence: 99%
“…and the positivity property (49) is unconditionally satistied if and only if θ ≥ Before investigating more elaborate discretizations, let us consider the case of the most naïve scheme to discretize (16), which is the most natural extension to the non linear case of the explicit leap frog scheme (θ = 0) for the linear case :…”
Section: Semi-discretization In Spacementioning
confidence: 99%
See 1 more Smart Citation
“…Compact description of the augmented system. A more compact description of the augmented system of DAEs treated above can be attained by introducing the vector of coordinates in phase space (26) along with the vector of multipliers (27) The algebraic constraint functions in (16) 3; 4 are collected in (28) Using this notation the augmented Hamiltonian in (25) takes the form…”
Section: Augmented Formulationmentioning
confidence: 99%
“…In this article, the focus is rather on the issue of numerical stability, and techniques which can be applied to construct algorithms for which numerical stability may be guaranteed. Energy conservation techniques, which have been under study for some time [9][10][11][12][13][14][15] and which relate to early work on the so-called energy-method [16,17], as well as symplectic methods [18,19] are a good match to this particular problem, among others, for various reasons. In general, conservation techniques applied to systems involving low order polynomial approximations to a nonlinearity (such as that which leads to the von Karman system) can yield schemes for which the solution is not only provably numerically stable, but also unique, and efficiently implemented without the need for nonlinear iterative solution techniques; such is not the case for more general types of nonlinearities [20].…”
Section: Introductionmentioning
confidence: 99%