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Nicola De Nitti

Researcher at University of Erlangen-Nuremberg

Publications -  15
Citations -  44

Nicola De Nitti is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Conservation law & Computer science. The author has an hindex of 3, co-authored 7 publications receiving 17 citations.

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Singular limits with vanishing viscosity for nonlocal conservation laws

TL;DR: In this article, the authors consider a class of nonlocal conservation laws with a second-order viscous regularization term which finds an application in modelling macroscopic traffic flow and show that, under a suitable balance condition, the solution of the nonlocal problem converges to the entropy solution of corresponding local conservation law.
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Boundary Controllability and Asymptotic Stabilization of a Nonlocal Traffic Flow Model

TL;DR: In this article, the exact boundary controllability of a class of nonlocal conservation laws for traffic flow is studied and the authors show that the boundary control can be used to steer the system towards a target final state or out-flux.
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A general result on the approximation of local conservation laws by nonlocal conservation laws: The singular limit problem for exponential kernels

TL;DR: In this paper, the problem of approximating a scalar conservation law by a conservation law with nonlocal flux was studied, and it was shown that the (unique) weak solution of the nonlocal problem converges strongly in O(L √ n) to the entropy solution of local conservation law.
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Differentiability in Measure of the Flow Associated with a Nearly Incompressible BV Vector Field

TL;DR: In this paper , the Lagrangian flow of Ambrosio and Smirnov has been studied and the regularity of the flow has been shown to be a regular solution of the continuity equation.
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Sharp criteria for the waiting time phenomenon in solutions to the thin-film equation

TL;DR: In this article, the authors established sharp criteria for the instantaneous propagation of free boundaries in solutions to the thin-film equation, which are formulated in terms of the initial distribution of mass (as opposed to previous almost-optimal results).