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    Extended Lagrange interpolation in weighted uniform norm

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    The author studies the uniform convergence of extended Lagrange interpolation processes based on the zeros of Generalized Laguerre polynomials. Introduciont: Let .. and ... be two weight functions, both of them supported in ...

    A METHOD TO EVALUATE THE HILBERT TRANSFORM ON (0,∞)

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    The author proposes a method to approximate the Hilbert transform on the real positive semiaxis by a suitable Lagrange interpolating polynomial. The method employs truncated Gaussian rules and uses the interlacing properties of the zeros of generalized Laguerre polynomials. The error estimate in a weighted uniform norm is proved and some numerical tests show the efficacy of the proposed procedure

    Una buona matrice di nodi

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    An interpolation process on the zeros of a product of three orthogonal polynomials and on additional knots is studied

    Lagrange interpolation on the semiaxis

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    In this brief survey are collected some recent results about optimal interpolation processes of Lagrange type based on the zeros of generalized Laguerre polynomials, i.e. the sequence of orthogonal polynomials where A new extended Lagrange process having optimal Lebesgue constants is also introduced

    Approximation of a weighted Hilbert transform by using perturbed Laguerre zeros

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    In the present paper is proposed a numerical method to approximate Hilbert transforms of the type (Formula Presented.), where w(x) = e-xxa, a >-1 is a Laguerre weight, by means of a new Lagrange interpolation process essentially based on the midpoints between two consecutive zeros of Laguerre polynomials. Theoretical error estimates are proved in some weighted uniform spaces and some numerical tests which confirm the theoretical estimates are shown

    Convergence of extended Lagrange interpolation in weighted L_p norm

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    In this paper we study the convergence in weigthted Lp norm of an extended interpolation process on the zeros of a polynomial product of three orthogonal polynomials and on additional knots
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