An Algorithm for Best Generalised Rational Approximation of Continuous Functions

نویسندگان

چکیده

In this paper we introduce an algorithm for solving variational inequality problems when the operator is pseudomonotone and point-to-set (therefore not relying on continuity assumptions). Our motivation development of a method optimisation appearing in Chebyshev rational generalised approximation problems, where approximations are constructed as ratios linear forms (linear combinations basis functions). The coefficients subject to functions continuous functions. It known that objective quasiconvex. prove stronger result, pseudoconvex sense Penot Quang. Then develop numerical methods, efficient wide range test them problems.

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ژورنال

عنوان ژورنال: Set-valued and Variational Analysis

سال: 2022

ISSN: ['1877-0541', '1877-0533']

DOI: https://doi.org/10.1007/s11228-021-00625-w