A stochastic conjugate gradient method for the approximation of functions

DOI10.1016/j.cam.2011.12.012zbMath1242.65027arXiv1302.1945OpenAlexW2013260992MaRDI QIDQ765306

Hong Jiang, Paul Wilford

Publication date: 19 March 2012

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1302.1945

zbMATH Keywords

convergenceleast squares problemleast squares solutionconvergence in probabilityapproximation of functionsstochastic samplingnormal equationpolynomial predistortionpower amplifier linearizationstochastic conjugate gradient method

Mathematics Subject Classification ID

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• Multivariate Regression and Machine Learning with Sums of Separable Functions
• A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers
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