Quadrature as a least-squares and minimax problem

Abstract

The vector of weights of an interpolatory quadrature rule with $n$ preassigned nodes is shown to be the least-squares solution $\omega$ of an overdetermined linear system here called {\em the fundamental system} of the rule. It is established the relation between $\omega$ and the minimax solution $\stackrel{\ast }{z}$ of the fundamental system, and shown the constancy of the $\infty$-norms of the respective residual vectors which are equal to the {\em principal moment} of the rule. Associated to $\omega$ and $\stackrel{\ast }{z}$ we define several parameters, such as the angle of a rule, in order to assess the main properties of a rule or to compare distinct rules. These parameters are tested for some Newton-Cotes, Fejér, Clenshaw-Curtis and Gauss-Legendre rules.

References in corpus (1)

• A unified framework for the computation of polynomial quadrature weights and errors

Cited by in corpus (1)

• High degree quadrature rules with pseudorandom rational nodes