2013
DOI: 10.1137/110825960
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Recent Developments in Numerical Methods for Fully Nonlinear Second Order Partial Differential Equations

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Cited by 129 publications
(131 citation statements)
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References 110 publications
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“…In analysis, nonlinear PDEs are classified as semilinear, quasi-linear, and fully nonlinear three categories based on the degree of the nonlinearity [76]. A semilinear PDE is a differential equation that is nonlinear in the unknown function but linear in all of its partial derivatives.…”
Section: Definition 2 (Canonical Function and Canonical Transformatiomentioning
confidence: 99%
“…In analysis, nonlinear PDEs are classified as semilinear, quasi-linear, and fully nonlinear three categories based on the degree of the nonlinearity [76]. A semilinear PDE is a differential equation that is nonlinear in the unknown function but linear in all of its partial derivatives.…”
Section: Definition 2 (Canonical Function and Canonical Transformatiomentioning
confidence: 99%
“…The method is known as the vanishing moment method. We refer the reader to [12,8] for a detailed exposition.…”
Section: 3mentioning
confidence: 99%
“…Due to their strong nonlinearity, this class of PDEs are most difficult to analyze analytically and to approximate numerically. In the mean time, fully nonlinear PDEs arise in many applications such as antenna design, astrophysics, differential geometry, fluid mechanics, image processing, meteorology, mesh generation, optimal control, optimal mass transport, etc [8], which calls for the development of efficient and reliable numerical methods for solving their underlying fully nonlinear PDE problems. This is the second paper in a series [9] which is devoted to developing finite difference (FD) and discontinuous Galerkin (DG) methods for approximating viscosity solutions of the following general one-dimensional fully nonlinear second order elliptic and parabolic equations:…”
mentioning
confidence: 99%
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“…Their definition and their analysis are however complex, and their application requires to adjust several parameters. For a recent overview of the numerical approaches to solving the Monge-Ampère equation, see Glowinski, Feng and Neilan [FGN13].…”
Section: Introductionmentioning
confidence: 99%