An ADA library for automatic evaluation of derivatives

DOI10.1016/0096-3003(90)90112-GzbMath0714.65020OpenAlexW2068247307MaRDI QIDQ751170

Ronald E. Huss

Publication date: 1990

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

Full work available at URL: https://doi.org/10.1016/0096-3003(90)90112-g

zbMATH Keywords

parameter estimationnumerical examplesparameter identificationnumerical differentiationnonlinear least squares problemsGauss-Newton algorithmADA library

Mathematics Subject Classification ID

Symbolic computation and algebraic computation (68W30) Numerical optimization and variational techniques (65K10) System identification (93B30) Numerical differentiation (65D25)

Related Items

Work by Robert Kalaba on automated sensitivity analysis, Automatic differentiation in MATLAB, On the implementation of automatic differentiation tools

Uses Software

• Ada95

Cites Work

• Unnamed Item
• Nonlinear least squares via automatic derivative evaluation
• A finite algorithm for the exact evaluation of higher order partial derivatives of functions of many variables
• Numerical derivatives and nonlinear analysis
• Automatic differentiation: techniques and applications
• A simple automatic derivative evaluation program
• Wengert's numerical method for partial derivatives, orbit determination and quasilinearization