1,721,013 research outputs found

    An Algorithm for the Anisotropic Adaptivity of Unstructured Triangular Meshes

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    It is well recognized today the importance of anisotropic meshes when it is solved a problem whose solution exhibits a substantial anisotropy. Most of the times it is better to build these meshes adaptively, and a corresponding algorithm is proposed in this paper. A comparison is made with the existing leading algorithms for the adaptive refinement of isotropic meshes, i.e. regular refinement and longest-edge bisection

    Adaptivity in Space and Time for Shallow Water Equations

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    In this paper, adaptive algorithms for time and space discretizations are added to an existing solution method previously applied to the Venice lagoon tidal circulation problem. An analysis of the interactions between space and time discretizations adaptation algorithms is presented. In particular it turns out that both error estimation in space and time must be present for maintaining the adaptation efficient. Several advantages, for adaptivity and for time decoupling of the equations, offered by the operator splitting adopted for shallow waters equations solution are put in evidenc

    A Recursive algorithm by the moments method to evaluate a class of numerical integrals over an infinite interval

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    A special recursive algorithm is built by a three-term recursive formula with coefficients evaluated by the moments method. A new functional c(·) is studied over any function space that contains the polynomial space and it is shown that such a functional is positive definite, enabling us to use the advantages of such a property on the zeros of orthogonal polynomials for such a functional. A comparison is presented of the numerical advantages of such a method with respect to the Laguerre polynomials

    A Fast Numerical Homogenization Algorithm for Finite Element Analysis

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    A numerical homogenization method is here presented to solve problems governed by partial differential equations with coefficients that are generic functions in R2R^2. It consists of a recursive finite elements discretization and an algebraic homogenization. This method takes advantages for speed and memory occupation from the hierarchy of elements and nodes defined by the recursive discretization. It turns out that using state-of-the-art general linear algebra techniques, all non-numerical data manipulations that are typically done before real computations, can be avoided

    A Linear System Solver for Adaptive FEM

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    In this paper it is presented an approximate direct solver for systems of linear equations arising from finite element discretizations. The approximation is implemented using estimates arising from functional analysis or matrix analysis of the differential problem discretized using finite elements, or of its discrete counter-part. It results an advantage in terms of less matrix updates during the factorization, and possibly less {\it fill-in} and less equations to be included in the factorization (with a considerable computational saving, in this case). This last advantage arise frequently during successive updates of the solution after refinement/un-refinement steps in an adaptive analysis. The basic principle underlying the method here proposed is related to the knowledge of the Green's function associated to the differential problem discretized by finite elements. Early experimentation shows the method to be promising

    Least squares FEM approximation and subgrid extraction for convection dominated problems

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    As it is well known, the Galerkin FEM gives an oscillating solution in convection dominated problems. The oscillations grow in magnitude with the Peclet number and may even totally hide the true solution. The cure commonly used is to modify a-priori the formulation of the problem, by adding a stabilizing term to avoid an oscillating solution. This is called a stabilized method. Here, instead, we analyze these oscillations from a least squares perspective and propose a post-processing technique that both stabilizes the solution and partially resolve the sub grid scales

    Can irregular subdivisions preserve convexity?

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    This paper presents a subdivision scheme on triangles that we call variable subdivision scheme. The scheme can be seen as an iterative scheme to generate interpolating surfaces that can be irregular in some case. Moreover, it seems to be suitable to preserve the convexity of the Bézier net defined over the triangle since it is exchangeable with the mid-point splitting. This property is proved by means of the algorithm used to define the schem

    The Best -Approximation Weighted-Residuals Method for Finite Element Approximations

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    In this article it is presented a Petrov-Galerkin method which gives a least-squares solution, useful for that problems for which the standard Galerkin method wildly oscillates and does not give an optimal approximation. The method proposed computes the weighting-functions that give the best-approximation in the norm induced by the inner product used to formulate the weighted residuals. We give an efficient implementation of this method using a space of linear finite elements

    The modified bordering method to evaluate eigenvalues and eigenvectors of normal matrices.

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    A bordering procedure is here proposed to evaluate the eigensystem of hermitian matrices, and more in general of normal matrices, when the spectral decomposition is known of then–1×n–1 principal minor. The procedure is also applicable to special real and nonsymmetric matrices here named quasi-symmetric. The computational cost to write the characteristic polynomial isO(n 2), using a new set of recursive formulas. A modified Brent algorithm is used to find the roots of the polynomial. The eigenvectors are evaluated in a direct way with a computational cost ofO(n 2) for each one. Some numerical considerations indicate where numerical difficulties may occur. Numerical results are given comparing this method with the Givens-Householder one
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