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Titlebook: Recent Advances in PDEs: Analysis, Numerics and Control; In Honor of Prof. Fe Anna Doubova,Manuel González-Burgos,Mercedes Marín Book 2018

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楼主: 断头台
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A Second-Order Linear Newmark Method for Lagrangian Navier-Stokes Equations,der a viscous, incompressible Newtonian fluid in a time dependent domain which may present large deformations but no topological changes at interfaces. Pure-Lagrangian methods are useful for solving these problems because the convective term disappears, the computational domain is independent of tim
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Lubrication Theory and Viscous Shallow-Water Equations,h, . (1998)] from the viscous shallow-water equations with drag terms and surface tension effect in the one-dimensional in space case. We consider strong and weak solutions and propose simple adaptation of recent relative entropy tools already developed by the first and third author. Note that the v
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Local Null Controllability of the ,-Dimensional Ladyzhenskaya-Smagorinsky with ,-1 Scalar Controls,al and nonlocal nonlinearities: the usual transport terms and a turbulent viscosity that depends on the global in space energy dissipated by the mean flow. We prove that the .-systems are locally null-controllable with .-1 scalar controls in an arbitrary control domain.
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Control of Random PDEs: An Overview, following topics are considered: uncertainty modelling in control problems using probabilistic tools, variational formulation of partial differential equations with random inputs, robust and risk averse formulations of optimal control problems, and numerical resolution methods. The exposition is fo
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The Dubovitskii and Milyutin Formalism Applied to an Optimal Control Problem in a Solidification Molinear parabolic PDE system of two equations for the unknowns the (reduced) temperature and a phase field function, with a temperature source term. The optimal control problem is defined via the source term as the control function and the objective functional given by the comparison in ..-norms of t
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Control of Random PDEs: An Overview,cused on running the path starting from uncertainty modelling and ending in the practical implementation of numerical schemes for the numerical approximation of the considered problems. To this end, a selected number of illustrative examples is analysed.
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