نتایج جستجو برای: nonlinear picone identity
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Exploring the psychological foundations of management in family firms is necessary to understand why they formulate and implement strategies differently from nonfamily firms, how firm behavior varies across different firms. Picone et al. (2021. The firms: Values, biases, heuristics. Family Business Review, 34(1), 12-32) have proposed a conceptual framework for business, examining values, heuris...
We consider an initial value problem for a quadratically nonlinear inviscid BurgersHilbert equation that models the motion of vorticity discontinuities. We use a normal form transformation, which is implemented by means of a near-identity coordinate change of the independent spatial variable, to prove the existence of small, smooth solutions over cubically nonlinear time-scales. For vorticity d...
where N ≥ 3, p ∈ ( 1, N+2 N−2 ) , V : R → R, J : R → RN×N are C functions. Here the symbol RN×N stands for the set of (N ×N) real matrices. Such a problem, at least in the case J ≡ I, where I is the identity matrix in RN×N , arises naturally when seeking standing waves of the nonlinear ∗Supported by MIUR, national project Variational methods and nonlinear differential equations †Supported by MI...
Recently many promising results have been shown on face recognition related problems. However, ageinvariant face recognition and retrieval remains a challenge. Inspired by the observation that age variation is a nonlinear but smooth transform and the ability of auto-encoder network to learn latent representations from inputs, in this paper, we propose a new neural network model called coupled a...
We consider two models which were both designed to describe the movement of eukaryotic cells responding to chemical signals. Besides a common standard parabolic equation for the diffusion of a chemoattractant, like chemokines or growth factors, the two models differ for the equations describing the movement of cells. The first model is based on a quasilinear hyperbolic system with damping, the ...
Born in Pavia, Italy, on May 13, 1970. ”Laurea” degree in Nuclear Engineering from the ”Politecnico” of Milano, Italy, July 1995. Ph.D. in Mathematics at the International School for Advanced Studies (S.I.S.S.A.), Trieste, October 2000. From October 2001 to October 2004: Researcher at the ”Instituto per le Applicazioni del Calcolo M. Picone”, CNR Rome, Italy. From November 2004 to October 2007:...
We have seen three important trends develop in the last five years in speech recognition. First, heterogeneous parameter sets that mix absolute spectral information with dynamic, or time-derivative, spectral information, have become common. Second, similarity transform techniques, often used to normalize and decorrelate parameters in some computationally inexpensive way, have become popular. Th...
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