2,242 research outputs found

    A general approach to transforming finite elements

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    The use of a reference element on which a finite element basis is constructed once and mapped to each cell in a mesh greatly expedites the structure and efficiency of finite element codes. However, many famous finite elements such as Hermite, Morley, Argyris, and Bell, do not possess the kind of equivalence needed to work with a reference element in the standard way. This paper gives a generalizated approach to mapping bases for such finite elements by means of studying relationships between the finite element nodes under push-forward.Comment: 28 page

    Fast Computation of Minimal Interpolation Bases in Popov Form for Arbitrary Shifts

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    We compute minimal bases of solutions for a general interpolation problem, which encompasses Hermite-Pad\'e approximation and constrained multivariate interpolation, and has applications in coding theory and security. This problem asks to find univariate polynomial relations between mm vectors of size σ\sigma; these relations should have small degree with respect to an input degree shift. For an arbitrary shift, we propose an algorithm for the computation of an interpolation basis in shifted Popov normal form with a cost of O ~(mω−1σ)\mathcal{O}\tilde{~}(m^{\omega-1} \sigma) field operations, where ω\omega is the exponent of matrix multiplication and the notation O ~(⋅)\mathcal{O}\tilde{~}(\cdot) indicates that logarithmic terms are omitted. Earlier works, in the case of Hermite-Pad\'e approximation and in the general interpolation case, compute non-normalized bases. Since for arbitrary shifts such bases may have size Θ(m2σ)\Theta(m^2 \sigma), the cost bound O ~(mω−1σ)\mathcal{O}\tilde{~}(m^{\omega-1} \sigma) was feasible only with restrictive assumptions on the shift that ensure small output sizes. The question of handling arbitrary shifts with the same complexity bound was left open. To obtain the target cost for any shift, we strengthen the properties of the output bases, and of those obtained during the course of the algorithm: all the bases are computed in shifted Popov form, whose size is always O(mσ)\mathcal{O}(m \sigma). Then, we design a divide-and-conquer scheme. We recursively reduce the initial interpolation problem to sub-problems with more convenient shifts by first computing information on the degrees of the intermediate bases.Comment: 8 pages, sig-alternate class, 4 figures (problems and algorithms

    A framework for structured linearizations of matrix polynomials in various bases

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    We present a framework for the construction of linearizations for scalar and matrix polynomials based on dual bases which, in the case of orthogonal polynomials, can be described by the associated recurrence relations. The framework provides an extension of the classical linearization theory for polynomials expressed in non-monomial bases and allows to represent polynomials expressed in product families, that is as a linear combination of elements of the form ϕi(λ)ψj(λ)\phi_i(\lambda) \psi_j(\lambda), where {ϕi(λ)}\{ \phi_i(\lambda) \} and {ψj(λ)}\{ \psi_j(\lambda) \} can either be polynomial bases or polynomial families which satisfy some mild assumptions. We show that this general construction can be used for many different purposes. Among them, we show how to linearize sums of polynomials and rational functions expressed in different bases. As an example, this allows to look for intersections of functions interpolated on different nodes without converting them to the same basis. We then provide some constructions for structured linearizations for ⋆\star-even and ⋆\star-palindromic matrix polynomials. The extensions of these constructions to ⋆\star-odd and ⋆\star-antipalindromic of odd degree is discussed and follows immediately from the previous results

    Conforming finite element methods for the clamped plate problem

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    Finite element methods for solving biharmonic boundary value problems are considered. The particular problem discussed is that of a clamped thin plate. This problem is reformulated in a weak, form in the Sobolev space Techniques for setting up conforming trial Functions are utilized in a Galerkin technique to produce finite element solutions. The shortcomings of various trial function formulations are discussed, and a macro—element approach to local mesh refinement using rectangular elements is given
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