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Large-Scale Unconstrained Optimization

This work is a survey on the methods for large scale unconstrained optimization. Besides its own theoretical importance, the growing interest in the last years in solving problems with a larger and larger number of variables are arising very frequently from real world as a result of modeling systems with a very complex structure. In this paper the main
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Gradient-Feedback Zhang Neural Network for Unconstrained Time-Variant Convex Optimization and Robot Manipulator Application

IEEE Transactions on Industrial Informatics, 2023
Zhuosong Fu, Yunong Zhang, Ning Tan
exaly  

UNCONSTRAINED OPTIMIZATION

2017
Richard W. Cottle, Mukund N. Thapa
openaire   +1 more source

A hybrid conjugate gradient based approach for solving unconstrained optimization and motion control problems

Mathematics and Computers in Simulation, 2022
Auwal Bala Abubakar   +2 more
exaly  

A hybrid simplex search and particle swarm optimization for unconstrained optimization

European Journal of Operational Research, 2007
Shu-Kai S Fan
exaly  

Unconstrained Optimization

2012
Hime Aguiar e Oliveira Junior   +4 more
openaire   +1 more source

A new spectral conjugate gradient method for large-scale unconstrained optimization

Optimization Methods and Software, 2017
Jin-Bao Jian, Xianzhen Jiang
exaly  

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