On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
AUTOR(ES)
Klement, Jan
FONTE
J. Aerosp. Technol. Manag.
DATA DE PUBLICAÇÃO
2014-12
RESUMO
ABSTRACT: The correlation of a model with test results is a common task in engineering. Often genetic algorithms or adaptive particle swarm algorithms are used for this task. In this paper another approach is presented using two quasi-Newton algorithms of the class defined by Broyden. A study was conducted with thermal models showing the performance of this approach. Comparing the results to other studies reveals that the approach reduces the number of iterations by several orders of magnitude; typical calculation times for model correlation times are reduced from the order of weeks and months to the order of hours and days.
Documentos Relacionados
- Global convergence of a regularized factorized quasi-Newton method for nonlinear least squares problems
- Sobre o desempenho de métodos Quase-Newton e aplicações
- Aceleração quase-Newton para problemas de minimização com restrições
- Algoritmos para resolução do problema de empacotamento de conjuntos utilizando poliedros quase inteiros
- Model for the participation of quasi-palindromic DNA sequences in frameshift mutation.