scholarly journals Explosion gravitation field algorithm with dust sampling for unconstrained optimization

2019 ◽  
Vol 81 ◽  
pp. 105500
Author(s):  
Xuemei Hu ◽  
Lan Huang ◽  
Yan Wang ◽  
Wei Pang
Keyword(s):  
Unconstrained Optimization ◽  
Gravitation Field ◽  
Dust Sampling

145. Residential Indoor Surface Dust Sampling for Contaminants Tracked in from Contaminated Yards

1999 ◽  
Author(s):  
L. Wilder ◽  
S. Burchette ◽  
R. Turpin ◽  
M. Trespalacios ◽  
A. Mignone
Keyword(s):  
Surface Dust ◽  
Dust Sampling

A Software Package for Unconstrained Optimization Using Tensor Methods

1990 ◽  
Author(s):  
Ta-Tung Chow ◽  
Elizabeth Eskow ◽  
Robert B. Schnabel
Keyword(s):  
Unconstrained Optimization ◽  
Software Package ◽  
Tensor Methods

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.

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