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Projection matrix optimization for sparse signals in structured noise
(Institute Of Electrical And Electronics Engineers, 2015-05)
We consider the problem of estimating a signal which has been corrupted with structured noise. When the signal of interest accepts a sparse representation, only a small number of measurements are required to retain all the ...
Adjoint method for a tumor growth PDE-constrained optimization problem
(Pergamon-elsevier Science Ltd, 2013-10)
In this paper we present a method for estimating unknown parameters that
appear on an avascular, spheric tumor growth model. The model for the
tumor is based on nutrient driven growth of a continuum of live cells,
whose birth and death generate volume changes described by a velocity
field. The model consists of a coupled system of partial differential
equations whose spatial domain is the tumor, that changes in size over
time. Thus, the situation can be formulated as a free boundary problem.
After solving the direct problem properly, we use the model for the
estimation of parameters by fitting the numerical solution with real
data, obtained via in vitro experiments and medical imaging. We
define an appropriate functional to compare both the real data and the
numerical solution. We use the adjoint method for the minimization of
this functional....
Hybrid OpenMP/MPI programs for solving the time-dependent Gross–Pitaevskii equation in a fully anisotropic trap
(2016-03-01)
We present hybrid OpenMP/MPI (Open Multi-Processing/Message Passing Interface) parallelized versions of earlier published C programs (Vudragovic et al. 2012) for calculating both stationary and non-stationary solutions of ...
Química Analítica de ProcessosProcess Analytical Chemistry
(Sociedade Brasileira de Química, 2006)
Sampled Control for Mean-Variance Hedging in a Jump Diffusion Financial Market
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
In this technical note we consider the mean-variance hedging problem of a jump diffusion continuous state space financial model with the re-balancing strategies for the hedging portfolio taken at discrete times, a situation ...
Wind power forecast using neural networks: Tuning with optimization techniques and error analysis
(2020-03-01)
The increased integration of wind power into the power system implies many challenges to the network operators, mainly due to the hard to predict and variability of wind power generation. Thus, an accurate wind power ...
Process analytical chemistry.
(Soc Brasileira QuimicaSao PauloBrasil, 2006)
Mathematical modeling and optimal control strategy development for an adipic acid crystallization process
(Elsevier Science SaLausanneSuíça, 2005)