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A globally convergent Levenberg-Marquardt method for equality-constrained optimization.
Alexey F. Izmailov
Mikhail V. Solodov
E. I. Uskov
Published in:
Comput. Optim. Appl. (2019)
Keyphrases
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constrained optimization
levenberg marquardt
objective function
least squares
support vector machine
artificial neural networks
sensitivity analysis
training algorithm
penalty function
evolutionary algorithm
optimization algorithm
back propagation
convergence rate
constrained optimization problems