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Silvério Rosa

Researcher at University of Beira Interior

Publications -  19
Citations -  346

Silvério Rosa is an academic researcher from University of Beira Interior. The author has contributed to research in topics: Optimal control & Epidemic model. The author has an hindex of 8, co-authored 17 publications receiving 284 citations.

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On the solution of the symmetric eigenvalue complementarity problem by the spectral projected gradient algorithm

TL;DR: A variant of the spectral projected gradient algorithm with a specially designed line search is introduced to solve the EiCP and computational experience shows that the application of this algorithm to the logarithmic function formulation is a quite efficient way to find a solution to the symmetric Ei CP.
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On the asymmetric eigenvalue complementarity problem

TL;DR: The eigenvalue complementarity problem (EiCP) where at least one of its defining matrices is asymmetric is discussed, and the EiCP is shown to be equivalent to finding a global minimum of an appropriate merit function on a convex set Ω defined by linear constraints.
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Optimal control of a fractional order epidemic model with application to human respiratory syncytial virus infection

TL;DR: A non-local fractional (non-integer) order model is proposed, which is carried out to evaluate the cost and the effectiveness of proposed control measures during the intervention period, showing the superiority of obtained results with respect to previous ones.
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Parameter Estimation, Sensitivity Analysis and Optimal Control of a Periodic Epidemic Model with Application to HRSV in Florida

TL;DR: The research presented in this paper addresses the problem of fitting real data collected by the Florida HRSV surveillance system by using a periodic SEIRS mathematical model.
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Parameter Estimation, Sensitivity Analysis and Optimal Control of a Periodic Epidemic Model with Application to HRSV in Florida

TL;DR: In this paper, the problem of fitting real data collected by the Florida HRSV surveillance system by using a periodic SEIRS mathematical model was addressed, and a sensitivity and cost-effectiveness analysis of the model was done and an optimal control problem was formulated and solved with treatment as the control variable.