Article ID Journal Published Year Pages File Type
10677990 Applied Mathematical Modelling 2005 19 Pages PDF
Abstract
A quasi-Newton trust-region algorithm with backward differentiation and BFGS update after both successful and unsuccessful iterations represents a robust and efficient algorithm that can be used to calibrate very demanding dynamic models.
Keywords
Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
Preview
A trust-region method applied to parameter identification of a simple prey-predator model
Authors
, ,