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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 mainopenaire +2 more sources
Globally convergent block-coordinate techniques for unconstrained optimization
Optimization Methods and Software, 1999Marco Sciandrone
exaly
A new spectral conjugate gradient method for large-scale unconstrained optimization
Optimization Methods and Software, 2017Jinbao Jian +2 more
exaly
Nonlinear stepsize control, trust regions and regularizations for unconstrained optimization
Optimization Methods and Software, 2013Philippe L Toint
exaly
On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems
SIAM Journal on Optimization, 2001Dong-Hui Li, Masao Fukushima
exaly

