Application of Global Line Search in Optimization of Networks

1993 ◽  
pp. 169-175
Author(s):  
Jonas Mockus
Keyword(s):  
Line Search

A Non-Monotone Line Search Combination Technique for Unconstrained Optimization

2014 ◽  
Vol 8 (1) ◽  
pp. 218-221 ◽  
Author(s):  
Ping Hu ◽  
Zong-yao Wang
Keyword(s):  
Global Convergence ◽  
Unconstrained Optimization ◽  
Numerical Experiments ◽  
Line Search ◽  
Optimization Problems ◽  
Search Algorithm ◽  
New Combination ◽  
Combination Rule ◽  
Combination Technique ◽  
Unconstrained Optimization Problems

We propose a non-monotone line search combination rule for unconstrained optimization problems, the corresponding non-monotone search algorithm is established and its global convergence can be proved. Finally, we use some numerical experiments to illustrate the new combination of non-monotone search algorithm’s effectiveness.

Stochastic quasi-Newton with line-search regularisation

Automatica ◽  
2021 ◽  
Vol 127 ◽  
pp. 109503
Author(s):  
Adrian G. Wills ◽  
Thomas B. Schön
Keyword(s):  
Line Search ◽  
Quasi Newton

Adaptive Sampling line search for local stochastic optimization with integer variables

2021 ◽  
Author(s):  
Prasanna K. Ragavan ◽  
Susan R. Hunter ◽  
Raghu Pasupathy ◽  
Michael R. Taaffe
Keyword(s):  
Stochastic Optimization ◽  
Adaptive Sampling ◽  
Line Search ◽  
Integer Variables ◽  
Sampling Line
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