
Classical Gaussian formulas are well known. They construct a polynomial interpolating in the zeros of a polynomial orthogonal with respect to a positive measure \(\alpha\) and the integral of this polynomial is a quadrature formula for \(\int f(x) d\alpha(x)\) with maximal polynomial degree of exactness. The generalized Gaussian formulas considered in this paper allow the interpolation points to coincide and a Hermite interpolating polynomial is used instead. The knots are generalized Chebyshev points in the sense that the the monic polynomial with these zeros (multiplicity imposed) has minimal \(L_1(d\alpha)\) norm in \([-1,1]\). Under appropriate conditions the convergence of these generalized Gaussian quadrature formulas is proved and error estimates are derived.
Mathematics(all), Numerical Analysis, convergence, Gaussian quadrature, Applied Mathematics, Gaussian quadrature formulas, Analysis, Approximate quadratures, rate of convergence
Mathematics(all), Numerical Analysis, convergence, Gaussian quadrature, Applied Mathematics, Gaussian quadrature formulas, Analysis, Approximate quadratures, rate of convergence
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