Objective acceleration for unconstrained optimization
Acceleration schemes can dramatically improve existing optimization procedures. In most of the work on these schemes, such as nonlinear Generalized Minimal Residual (N-GMRES), acceleration is based on minimizing the $\ell_2$ norm of some target on subspaces of $\mathbb{R}^n$. There are many numerica...
Príomhchruthaitheoir: | Riseth, A |
---|---|
Formáid: | Journal article |
Foilsithe / Cruthaithe: |
Wiley
2018
|
Míreanna comhchosúla
Míreanna comhchosúla
-
Implicit Runge-Kutta Methods for Accelerated Unconstrained Convex Optimization
de réir: Ruijuan Chen, et al.
Foilsithe / Cruthaithe: (2020-01-01) -
Accelerating sailfish optimization applied to unconstrained optimization problems on graphical processing unit
de réir: Hamid Reza Naji, et al.
Foilsithe / Cruthaithe: (2022-08-01) -
An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization
de réir: Yuksel Celik, et al.
Foilsithe / Cruthaithe: (2013-01-01) -
A new accelerated conjugate gradient method for large-scale unconstrained optimization
de réir: Yuting Chen, et al.
Foilsithe / Cruthaithe: (2019-11-01) -
Discovering thematic visual objects in unconstrained videos
de réir: Yang, Jiong
Foilsithe / Cruthaithe: (2018)