The effect of data grid size on certain interpolation methods for unconstrained function minimization

DOI10.1016/0898-1221(77)90092-XzbMath0382.65028OpenAlexW2001106694MaRDI QIDQ1247723

M. Judelman, David H. Jacobson

Publication date: 1977

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(77)90092-x

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Numerical interpolation (65D05)

Related Items (1)

The effect of data grid size on certain interpolation methods for unconstrained function minimization

Cites Work

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• The effect of data grid size on certain interpolation methods for unconstrained function minimization
• A modified homogeneous algorithm for function minimization
• An algorithm that minimizes homogeneous functions of \(n\) variables in \(n + 2\) iterations and rapidly minimizes general functions
• Minimization of functions having Lipschitz continuous first partial derivatives
• A numerically stable optimization method based on A homogeneous function
• Function Minimization by Interpolation in a Data Table
• Calculating the Singular Values and Pseudo-Inverse of a Matrix

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