Large-Scale Evolution Strategy Based on Search Direction Adaptation

2019 ◽  
pp. 1-15 ◽  
Author(s):  
Xiaoyu He ◽  
Yuren Zhou ◽  
Zefeng Chen ◽  
Jun Zhang ◽  
Wei-Neng Chen
Keyword(s):  
Large Scale ◽  
Evolution Strategy ◽  
Search Direction ◽  
Scale Evolution

scholarly journals Large‐scale evolution of body temperatures in land vertebrates

2021 ◽  
Author(s):  
Matthew O. Moreira ◽  
Yan‐Fu Qu ◽  
John J. Wiens
Keyword(s):  
Large Scale ◽  
Body Temperatures ◽  
Land Vertebrates ◽  
Scale Evolution

scholarly journals An efficient three-term conjugate gradient-type algorithm for monotone nonlinear equations

2020 ◽  
Author(s):  
Jamilu Sabi'u ◽  
Abdullah Shah
Keyword(s):  
Global Convergence ◽  
Nonlinear Equations ◽  
Conjugate Gradient ◽  
Large Scale ◽  
Numerical Results ◽  
Search Direction ◽  
Projection Technique ◽  
Type Algorithm ◽  
Gradient Type

In this article, we proposed two Conjugate Gradient (CG) parameters using the modified Dai-{L}iao condition and the descent three-term CG search direction. Both parameters are incorporated with the projection technique for solving large-scale monotone nonlinear equations. Using the Lipschitz and monotone assumptions, the global convergence of methods has been proved. Finally, numerical results are provided to illustrate the robustness of the proposed methods.

scholarly journals Predicting the Large-Scale Evolution of Tag Systems

2016 ◽  
Vol 25 (2) ◽  
pp. 79-108
Author(s):  
Carlos Martin ◽  
Keyword(s):  
Large Scale ◽  
Scale Evolution

scholarly journals The large-scale evolution of neodymium isotopic composition in the global modern and Holocene ocean revealed from seawater and archive data

2017 ◽  
Vol 457 ◽  
pp. 131-148 ◽  
Author(s):  
Kazuyo Tachikawa ◽  
Thomas Arsouze ◽  
Germain Bayon ◽  
Aloys Bory ◽  
Christophe Colin ◽  
...  
Keyword(s):  
Isotopic Composition ◽  
Large Scale ◽  
Archive Data ◽  
Scale Evolution

scholarly journals MHD simulations of star-disk magnetospheres and the formation of outflows and jets

2007 ◽  
Vol 3 (S243) ◽  
pp. 265-276
Author(s):  
Christian Fendt
Keyword(s):  
Numerical Simulation ◽  
Stellar Wind ◽  
Large Scale ◽  
Disk Surface ◽  
Time Dependent ◽  
Mhd Simulations ◽  
Tremendous Progress ◽  
Stellar Magnetospheres ◽  
Scale Evolution

AbstractIn this review the recent development concerning the large-scale evolution of stellar magnetospheres in interaction with the accretion disk is discussed. I put emphasis on the generation of outflows and jets from the disk and/or the star. In fact, tremendous progress has occurred over the last decade in the numerical simulation of the star-disk interaction. The role of numerical simulations is essential in this area because the processes involved are complex, strongly interrelated, and often highly time-dependent. Recent MHD simulations suggest that outflows launched from a very concentrated region tend to be un-collimated. I present preliminary results of simulations of large-scale star-disk magnetospheres loaded with matter from the stellar, resp. the disk surface demonstrating how a disk jet collimates the wind from the star and also how the stellar wind lowers the collimation degree of the disk outflow.

scholarly journals A modification of steepest descent method for solving large-scaled unconstrained optimization problems

2018 ◽  
Vol 7 (3.28) ◽  
pp. 72
Author(s):  
Siti Farhana Husin ◽  
Mustafa Mamat ◽  
Mohd Asrul Hery Ibrahim ◽  
Mohd Rivaie
Keyword(s):  
Unconstrained Optimization ◽  
Large Scale ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Descent Method ◽  
Steepest Descent ◽  
Steepest Descent Method ◽  
Search Direction ◽  
Exact Line Search ◽  
Scale Optimization

In this paper, we develop a new search direction for Steepest Descent (SD) method by replacing previous search direction from Conjugate Gradient (CG) method, , with gradient from the previous step,  for solving large-scale optimization problem. We also used one of the conjugate coefficient as a coefficient for matrix . Under some reasonable assumptions, we prove that the proposed method with exact line search satisfies descent property and possesses the globally convergent. Further, the numerical results on some unconstrained optimization problem show that the proposed algorithm is promising. 

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