Search results for "Analisi numerica"

showing 10 items of 111 documents

Unconditionally stable meshless integration of Maxwell's eqautions

2013

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMaxwell's equationsMeshless methodleapfrog ADI
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On a regularized approach for the method of fundamental solution

2018

The method of fundamental solution is a boundary meshless method recently adopted in the framework of non-invasive neu- roimaging techniques. The method approximates the solution of a BVP by a linear combination of fundamental solutions of the governing PDE. A crucial feature of the method is the placement of the fictitious boundary to avoid the singularities of fundamental solutions. In this paper we report on our experiences with a regularized MFS method in the neuroimaging context.

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMethod of fundamental solutionMeshless methodPDE
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A meshfree approach for brain activity source modeling

2015

Weak electrical currents in the brain flow as a consequence of acquisition, processing and transmission of information by neurons, giving raise to electric and magnetic fields, which are representable by means of quasi-stationary approximation of the Maxwell’s equations. Measurements of electric scalar potential differences at the scalp and magnetic fields near the head constitute the input data for, respectively, electroencephalography (EEG) and magnetoencepharography (MEG), which allow for reconstructing the cerebral electrical currents and thus investigating the neuronal activity in the human brain in a non-invasive way. This is a typical erectromagnetic inverse problem, since measuremen…

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMethod of fundamental solutions (MFS) source modeling inverse problems
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An improved Smoothed Particle ElectroMagnetics method in 3D time domain simulations

2012

In this paper, an enhanced variant of the meshless smoothed particle electromagnetics (SPEM) method is performed in order to solve PDEs in time domain describing 3D transient electromagnetic phenomena. The method appears to be very efficient in approximating spatial derivatives in the numerical treatment of Maxwell's curl equations. In many cases, very often, accuracy degradation, due to a lack of particle consistency, severely limits the usefulness of this approach. A numerical corrective strategy, which allows to restore the SPEM consistency, without any modification of the smoothing kernel function and its derivatives, is presented. The method allows to restore the same order of consiste…

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaNumerical modellingconsistency restoringSmoothed Particle Electromagnetics smoothed particle electromagnetics (SPEM)
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Numerical insights of an improved SPH method

2018

In this paper we discuss on the enhancements in accuracy and computational demanding in approximating a function and its derivatives via Smoothed Particle Hydrodynamics. The standard method is widely used nowadays in various physics and engineering applications [1],[2],[3]. However it suffers of low approximation accuracy at boundaries or when scattered data distributions is considered. Here we reformulate the original method by means of the Taylor series expansion and by employing the kernel function and its derivatives as projection functions and integrating over the problem domain [3]. In this way, accurate estimates of the function and its derivatives are simultaneously provided and no …

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaSPHIFGTTaylor series expansion
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Admissible perturbations of alpha-psi-pseudocontractive operators: convergence theorems

2015

In the last decades, the study of convergence of fixed point iterative methods has received an increasing attention, due to their performance as tools for solving numerical problems. As a consequence of this fact, one can access to a wide literature on iterative schemes involving different types of operators; see [2, 4, 5]. We point out that fixed point iterative approximation methods have been largely applied in dealing with stability and convergence problems; see [1, 6]. In particular, we refer to various control and optimization questions arising in pure and applied sciences involving dynamical systems, where the problem in study can be easily arranged as a fixed point problem. Then, we …

Settore MAT/08 - Analisi NumericaSettore MAT/05 - Analisi Matematicaalpha-admissible mapping alpha-psi-pseudocontractive operator Hilbert space Krasnoselskij type iterative scheme.
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Polynomial mapped bases: theory and applications

2022

Abstract In this paper, we collect the basic theory and the most important applications of a novel technique that has shown to be suitable for scattered data interpolation, quadrature, bio-imaging reconstruction. The method relies on polynomial mapped bases allowing, for instance, to incorporate data or function discontinuities in a suitable mapping function. The new technique substantially mitigates the Runge’s and Gibbs effects.

Settore MAT/08 - Analisi Numericafake nodes Gibbs phenomenon mapped basis Runge's phenomenonmapped basisGibbs phenomenonRunge’s phenomenonfake nodesApplied MathematicsFOS: MathematicsMathematicsofComputing_NUMERICALANALYSISNumerical Analysis (math.NA)Mathematics - Numerical AnalysisIndustrial and Manufacturing Engineering
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Analysis of the Allee threshold via moving least square approximation

2016

Cooperation is a common behavior between the members of predators species, because it can improve theirs skill in hunt, especially in endangered eco-systems. This behavior it is well known to induce the Strong Allee effect, that can induce the extinction when the initial populations’ is under a critical density called ”Allee threshold ”. Here we investigate the impact of the pack hunting in a predator-prey system in which the predator suffers of an infectious disease with frequency and vertical transmission. The result is a three dimensional system with the predators population divided into susceptible and infected individuals. Studying the system dynamics a scenario was identified in which…

Settore MAT/08 - Analisi Numericameshless approximationpredator-prey modeldynamical systembasins of attraction
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An adaptive algorithm for determining the optimal degree of regression in constrained mock-Chebyshev least squares quadrature

2022

In this paper we develop an adaptive algorithm for determining the optimal degree of regression in the constrained mock-Chebyshev least-squares interpolation of an analytic function to obtain quadrature formulas with high degree of exactness and accuracy from equispaced nodes. We numerically prove the effectiveness of the proposed algorithm by several examples.

Settore MAT/08 - Analisi Numericamock-Chebyshevleast-squares interpolationDegree of regression
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A comparison of local parametric C0 Bézier interpolants for triangular meshes

2011

Parametric curved shape surface schemes interpolating vertices and normals of a given triangular mesh with arbitrary topology are widely used in computer graphics for gaming and real-time rendering due to their ability to effectively represent any surface of arbitrary genus. In this context, continuous curved shape surface schemes using only the information related to the triangle corresponding to the patch under construction, emerged as attractive solutions responding to the requirements of resource-limited hardware environments. In this paper we provide a unifying comparison of the local parametric C^0 curved shape schemes we are aware of, based on a reformulation of their original constr…

Shape propertiesGeneral EngineeringBézier curveTopologyComputer Graphics and Computer-Aided DesignC0 local parametric interpolantRendering (computer graphics)Human-Computer InteractionComputer graphicsMAT/08 - ANALISI NUMERICABézier triangleTriangle meshPolygon meshComputingMethodologies_COMPUTERGRAPHICSParametric statisticsMathematics
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