We introduce a strategy that generates an adaptive surrogate of the value function of high-dimensional nonlinear optimal control problems. It exploits the relevant operating domain online on which the resulting surrog...
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We introduce a strategy that generates an adaptive surrogate of the value function of high-dimensional nonlinear optimal control problems. It exploits the relevant operating domain online on which the resulting surrogate satisfies the Hamilton–Jacobi–Bellman (HJB) equation up to a given threshold. The approximate value function is based on Hermite kernel regression, where the data stems from open-loop control of reduced-order optimal control problems. As a measure of accuracy, the full-order HJB residual, known as the Bellman error, is used to determine whether the current Hermite kernel surrogate is sufficient or further training is required. In addition, the reduced-order model can also be improved using the full-order data if the same HJB-based error indicator suggests that the current reduced system is not accurate enough. numerical experiments support the effectiveness of the new scheme.
Restarted GMRES is a robust and widely used iterative solver for linear systems. The control of the restart parameter is a key task to accelerate convergence and to prevent the well-known stagnation phenomenon. We foc...
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In this paper, we show that the ground-state of many-body Schrödinger operators for electrons in one dimension is non-degenerate. More precisely, we consider Schrödinger operators of the form (Formula Presen...
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Mathematical modelling of coupled flow systems containing a free-flow region in contact with a porous medium is challenging, especially for arbitrary flow directions to the fluid–porous interface. Transport processes...
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In this paper, we show that the ground-state density of any non-interacting Schrödinger operator on the one-dimensional torus with potentials in a certain class of distributions is strictly positive. This result ...
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We consider the motion of a two-phase thin film that consists of two immiscible viscous fluids and is endowed with an anti-surfactant solute. The presence of such solute particles induces variations of the surface ten...
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Due to their wide appearance in environmental settings as well as industrial and medical applications, the Stokes–Darcy problems with different sets of interface conditions establish an active research area in the co...
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We introduce a new hyperbolic approximation to the incompressible Navier-Stokes equations by incorporating a first-order relaxation and using the artificial compressibility method. With two relaxation parameters in th...
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In this work, we justify a Baer–Nunziato system including appropriate closure terms as the macroscopic description of a compressible viscous fluid that can occur in a liquid or a vapor phase in the isothermal framewo...
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The Kohn-Sham (KS) density matrix is one of the most essential properties in KS density functional theory (DFT), from which many other physical properties of interest can be derived. In this work, we present a paramet...
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