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Luis Gavete

Researcher at Technical University of Madrid

Publications -  58
Citations -  1463

Luis Gavete is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Finite difference method & Finite difference. The author has an hindex of 18, co-authored 58 publications receiving 1113 citations. Previous affiliations of Luis Gavete include Polytechnic University of Puerto Rico & National University of Distance Education.

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Influence of several factors in the generalized finite difference method

TL;DR: In this paper, the generalized finite difference method (GFD) is used to solve second-order partial differential equations which represent the behavior of many physical processes. And the authors analyze the influences of key parameters of the method, such as the number of nodes of the star, the arrangement of the same, the weight function and the stability parameter in time-dependent problems.
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Solving parabolic and hyperbolic equations by the generalized finite difference method

TL;DR: In this article, the generalized finite difference (GFD) method is applied to irregular grids of points and the convergence of the method has been studied and the truncation errors over irregular grids are given.
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Improvements of generalized finite difference method and comparison with other meshless method

TL;DR: In this article, a procedure is given that can easily assure the quality of numerical results by obtaining the residual at each point, which can be applied over general or irregular clouds of points.
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An h-adaptive method in the generalized finite differences

TL;DR: The influence of key parameters, as the number of nodes to add in each step or the minimum distance between nodes, is analyzed through the analysis of the obtained solutions for different types of differential equations.
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Solving second order non-linear elliptic partial differential equations using generalized finite difference method

TL;DR: The GFD explicit formulae developed to obtain the different derivatives of the pde's are based on the existence of a positive definite matrix that it is obtained using moving least squares approximation and Taylor series development.