17,071 research outputs found
Fast and flexible interpolation via PUM with applications in population dynamics
In this paper the Partition of Unity Method (PUM) is efficiently performed
using Radial Basis Functions (RBFs) as local approximants. In particular, we
present a new space-partitioning data structure extremely useful in
applications because of its independence from the problem geometry. Moreover,
we study, in the context of wild herbivores in forests, an application of such
algorithm. This investigation shows that the ecosystem of the considered
natural park is in a very delicate situation, for which the animal population
could become extinguished. The determination of the so-called sensitivity
surfaces, obtained with the new fast and flexible interpolation tool, indicates
some possible preventive measures to the park administrators
Local interpolation schemes for landmark-based image registration: a comparison
In this paper we focus, from a mathematical point of view, on properties and
performances of some local interpolation schemes for landmark-based image
registration. Precisely, we consider modified Shepard's interpolants,
Wendland's functions, and Lobachevsky splines. They are quite unlike each
other, but all of them are compactly supported and enjoy interesting
theoretical and computational properties. In particular, we point out some
unusual forms of the considered functions. Finally, detailed numerical
comparisons are given, considering also Gaussians and thin plate splines, which
are really globally supported but widely used in applications
The High Density Region of QCD from an Effective Model
We study the high density region of QCD within an effective model obtained in
the frame of the hopping parameter expansion and choosing Polyakov-type loops
as the main dynamical variables representing the fermionic matter. This model
still shows the so-called sign problem, a difficulty peculiar to non-zero
chemical potential, but it permits the development of algorithms which ensure a
good overlap of the simulated Monte Carlo ensemble with the true one. We review
the main features of the model and present results concerning the dependence of
various observables on the chemical potential and on the temperature, in
particular of the charge density and the Polykov loop susceptibility, which may
be used to characterize the various phases expected at high baryonic density.
In this way, we obtain information about the phase structure of the model and
the corresponding phase transitions and cross over regions, which can be
considered as hints about the behaviour of non-zero density QCD.Comment: 7 pages, 5 figures, talk presented at the XXVth International
Symposium on Lattice Field Theory, July 30 - August 4 2007, Regensburg,
German
A trivariate interpolation algorithm using a cube-partition searching procedure
In this paper we propose a fast algorithm for trivariate interpolation, which
is based on the partition of unity method for constructing a global interpolant
by blending local radial basis function interpolants and using locally
supported weight functions. The partition of unity algorithm is efficiently
implemented and optimized by connecting the method with an effective
cube-partition searching procedure. More precisely, we construct a cube
structure, which partitions the domain and strictly depends on the size of its
subdomains, so that the new searching procedure and, accordingly, the resulting
algorithm enable us to efficiently deal with a large number of nodes.
Complexity analysis and numerical experiments show high efficiency and accuracy
of the proposed interpolation algorithm
The East model: recent results and new progresses
The East model is a particular one dimensional interacting particle system in
which certain transitions are forbidden according to some constraints depending
on the configuration of the system. As such it has received particular
attention in the physics literature as a special case of a more general class
of systems referred to as kinetically constrained models, which play a key role
in explaining some features of the dynamics of glasses. In this paper we give
an extensive overview of recent rigorous results concerning the equilibrium and
non-equilibrium dynamics of the East model together with some new improvements
Car Sharing and Relocation Strategies: a Case Study Comparison in the Italian Market
The sharing economy represents an economic model based on the sharing of goods and services. In particular, this paper examines car sharing model, an attractive alternative to a self-owned car which has found large interest in the recent literature in different research fields. This study aims to investigate innovative and effective relocation strategies based on the analysis of data on users’ consumptions, for the constantly growing car sharing system. For this purpose, after a literature review, the paper presents a case study focused on the car repositioning algorithm developed by one of the market leader in this sector: car2go. More in detail, the paper evaluates differences and similarities in the strategic management of this model within the Italian context, through a comparison among the cities of Rome and Milan. Empirical results and practical implications for users will be provided, by highlighting opportunities and threats concerning the different settings
Modeling Mergers of Known Galactic Systems of Binary Neutron Stars
We present a study of the merger of six different known galactic systems of
binary neutron stars (BNS) of unequal mass with a mass ratio between and
. Specifically, these systems are J1756-2251, J0737-3039A, J1906+0746,
B1534+12, J0453+1559 and B1913+16. We follow the dynamics of the merger from
the late stage of the inspiral process up to 20 ms after the system has
merged, either to form a hyper-massive neutron star (NS) or a rotating black
hole (BH), using a semi-realistic equation of state (EOS), namely the
seven-segment piece-wise polytropic SLy with a thermal component. For the most
extreme of these systems (, J0453+1559), we also investigate the
effects of different EOSs: APR4, H4, and MS1. Our numerical simulations are
performed using only publicly available open source code such as, the Einstein
Toolkit code deployed for the dynamical evolution and the LORENE code for the
generation of the initial models. We show results on the gravitational wave
signals, spectrogram and frequencies of the BNS after the merger and the BH
properties in the two cases in which the system collapse within the simulated
time.Comment: 13 pages, 10 figure
The impact of Digital Platforms on Business Models: an empirical investigation on innovative start-ups
Digital platforms have the ability to connect people, organizations and resources with the aim of facilitating the core interactions between businesses and consumers as well as assuring a greater efficiency for the business management. New business concepts, such as innovative start-ups, are therefore created based on innovation, scalability and the relationships within the community around them. The purpose of this work is to deeply understand the evolution of business models brought by innovative and dynamic companies operating through online platforms. In order to achieve the objectives set, an exploratory multiple-case study was designed based on in-depth
structured interviews. The aim was to conduct a mixed analysis, in order to rely both on qualitative and quantitative data. The structured interview protocol was therefore designed to collect and then analyse data concerning the company profile and managers’ perspectives on the phenomenon of interest. The interview protocol was submitted in advance and then face-to-face interviews were carried out with the following professional figures: Chief Executive Officer (CEO), General Manager, Chief Technology Officer (CTO), Marketing Manager and Developers. Collected data were analysed and processed through the Canvas Business Model in order to clearly outline similarities and differences among the sample. Results can be considered under two viewpoints. On the one hand, this work provides a detailed overview of the companies interviewed, according to the dimensions of: reference market dynamics, type and number of customers, scalability. On the other one, they allow to identify some success patterns regarding key activities, key resources, channel mix strategy, costs management, value proposition, customer segmentation, key partners and the way to obtain revenues. Results from the multiple-case study with 15 Italian start-ups provide interesting insights by comparing the innovative business models developed and highlighting key differences and similarities. verall, the start-ups analyzed, operating in several sectors, showed great growth prospects and the possibility to create value for their customers through innovative products and services offered
through digital platforms
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