Adding variables to quasi-newton Hessian approximations

DOI10.1007/BF00940203zbMath0595.65071OpenAlexW2023266244MaRDI QIDQ1077886

Kang Hoh Phua, David F. Shanno

Publication date: 1987

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00940203

zbMATH Keywords

numerical resultsHessian matrixreduced gradient methodsquasi-Newton approximationquasi- Newton methodsstepwise nonlinear regression

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical computation of solutions to systems of equations (65H10)

Related Items (1)

Computational experiments with scaled initial hessian approximation for the broyden family methods^∗

Uses Software

• Algorithm 500

Cites Work

• An Adaptive Nonlinear Least-Squares Algorithm
• Self-Scaling Variable Metric (SSVM) Algorithms
• Self-Scaling Variable Metric (SSVM) Algorithms
• Matrix conditioning and nonlinear optimization
• Large-scale linearly constrained optimization

This page was built for publication: Adding variables to quasi-newton Hessian approximations