674 research outputs found
Circuit Based Quantification: Back to State Set Manipulation within Unbounded Model Checking
In this paper a non-canonical circuit-based state set representation is used to efficiently perform quantifier elimination. The novelty of this approach lies in adapting equivalence checking and logic synthesis techniques, to the goal of compacting circuit based state set representations resulting from existential quantification. The method can be efficiently combined with other verification approaches such as inductive and SAT-based pre-image verifications
Existence of density for the stochastic wave equation with space-time homogeneous Gaussian noise
In this article, we consider the stochastic wave equation on , driven by a linear multiplicative space-time homogeneous
Gaussian noise whose temporal and spatial covariance structures are given by
locally integrable functions (in time) and (in space), which are
the Fourier transforms of tempered measures on , respectively
on . Our main result shows that the law of the solution
of this equation is absolutely continuous with respect to the Lebesgue
measure.Comment: This is a major revision of the previous version of the paper, where
we have corrected an important erro
Non elliptic SPDEs and ambit fields: existence of densities
Relying on the method developed in [debusscheromito2014], we prove the
existence of a density for two different examples of random fields indexed by
(t,x)\in(0,T]\times \Rd. The first example consists of SPDEs with Lipschitz
continuous coefficients driven by a Gaussian noise white in time and with a
stationary spatial covariance, in the setting of [dalang1999]. The density
exists on the set where the nonlinearity of the noise does not vanish.
This complements the results in [sanzsuess2015] where is assumed to be
bounded away from zero. The second example is an ambit field with a stochastic
integral term having as integrator a L\'evy basis of pure-jump, stable-like
type.Comment: 23 page
Does the Red Queen reign in the kingdom of digital organisms?
In competition experiments between two RNA viruses of equal or almost equal
fitness, often both strains gain in fitness before one eventually excludes the
other. This observation has been linked to the Red Queen effect, which
describes a situation in which organisms have to constantly adapt just to keep
their status quo. I carried out experiments with digital organisms
(self-replicating computer programs) in order to clarify how the competing
strains' location in fitness space influences the Red-Queen effect. I found
that gains in fitness during competition were prevalent for organisms that were
taken from the base of a fitness peak, but absent or rare for organisms that
were taken from the top of a peak or from a considerable distance away from the
nearest peak. In the latter two cases, either neutral drift and loss of the
fittest mutants or the waiting time to the first beneficial mutation were more
important factors. Moreover, I found that the Red-Queen dynamic in general led
to faster exclusion than the other two mechanisms.Comment: 10 pages, 5 eps figure
E-assessment of relational database skills by means of LearnSQL
LearnSQL is a software system that allows the automatic and efficient e-learning and e-assessment of relational database skills. It has been used at the Barcelona School of Informatics for 18 semesters with an average of 200 students per semester. This paper shows the functionalities of LearnSQL subsystems by means of specific and understandable examples.Peer ReviewedPostprint (published version
Integració i avaluació de la competència genèrica transversal actitud adequada davant el treball en assignatures de bases de dades
El canvi al nou Espai Europeu d'Educació Superior va portar a la Facultat d’Informàtica de Barcelona de la Universitat Politècnica de Catalunya a incorporar competències genèriques tranversals en els seus plans d’estudi. En aquest article es presenta com s’ha integrat la competència actitud adequada davant el treball en les assignatures de bases de dades del Grau en Enginyeria Informàtica en la especialitat d’Enginyeria del Software, el mètode d’avaluació utilitzat i es comenten els resultats obtinguts en els darrers tres anys.Peer ReviewedPostprint (published version
Nonlinear deterministic equations in biological evolution
We review models of biological evolution in which the population frequency
changes deterministically with time. If the population is self-replicating,
although the equations for simple prototypes can be linearised, nonlinear
equations arise in many complex situations. For sexual populations, even in the
simplest setting, the equations are necessarily nonlinear due to the mixing of
the parental genetic material. The solutions of such nonlinear equations
display interesting features such as multiple equilibria and phase transitions.
We mainly discuss those models for which an analytical understanding of such
nonlinear equations is available.Comment: Invited review for J. Nonlin. Math. Phy
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