Convergence of a singular Euler-Poisson approximation of the incompressible Navier-Stokes equations
In this note, we rigorously justify a singular approximation of the incompressible Navier-Stokes equations. Our approximation combines two classical approximations of the incompressible Euler equations: a standard relaxation approximation, but with a diffusive scaling, and the Euler-Poisson equations in the quasineutral regime.
Safety Controls and application to the Dubins car
We consider a coperative control approach to address safety and optimality issues for simple model of a car-like robot.
The approach makes use of optimal syntheses and Krasovskii solutions to discontinuous ODEs.
Existence theory for nonclassical entropy solutions:
We provide a general approach to deal with entropy solutions to scalar conservation laws presenting nonclassical shocks.
Hybrid Necessary Principle
We consider a hybrid control system and general optimal control problems for this
system. We suppose that the switching strategy imposes restrictions on control sets and we provide
necessary conditions for an optimal hybrid trajectory, stating a Hybrid Necessary Principle (HNP).
Our result generalizes various necessary principles available in the literature.
Tissue segmentation and classification of MRSI data using Canonical Correlation Analysis
In this article an accurate and efficient technique for tissue
typing is presented. The proposed technique is based on Canonical
Correlation Analysis, a statistical method able to simultaneously
exploit the spectral and spatial information characterizing
the Magnetic Resonance Spectroscopic Imaging
(MRSI) data. Recently, Canonical Correlation Analysis has been
successfully applied to other types of biomedical data, such as
functional MRI data.
Subspace-based MRS data quantitation of multiplets using prior knowledge
Accurate quantitation of Magnetic Resonance Spectroscopy (MRS) signals is an essential step before converting the estimated
signal parameters, such as frequencies, damping factors, and amplitudes, into biochemical quantities (concentration, pH). Several
subspace-based parameter estimators have been developed for this task, which are efficient and accurate time-domain algorithms.
However, they suffer from a serious drawback: they allow only a limited inclusion of prior knowledge which is important for accuracy
and resolution.
Generalized golden ratios of ternary alphabets
Expansions in noninteger bases often appear in number theory and probability theory, and they are closely connected to ergodic theory, measure theory and topology. For two-letter alphabets the golden ratio plays a special role: in smaller bases only trivial expansions are unique, whereas in greater bases there exist nontrivial unique expansions. In this paper we determine the corresponding critical bases for all three-letter alphabets and we establish the fractal nature of these bases in function of the alphabets.