| Name : R-graDiEnt
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.9
| Date : 2024-06-14 11:36:15
|
| Group : Development/Libraries/Other
| Source RPM : R-graDiEnt-1.0.1-lp153.1.9.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Stochastic Quasi-Gradient Differential Evolution Optimization
|
Description :
An optim-style implementation of the Stochastic Quasi-Gradient
Differential Evolution (SQG-DE) optimization algorithm first published
by Sala, Baldanzini, and Pierini (2018;
< doi:10.1007/978-3-319-72926-8_27>). This optimization algorithm fuses
the robustness of the population-based global optimization algorithm
\"Differential Evolution\" with the efficiency of gradient-based
optimization. The derivative-free algorithm uses population members to
build stochastic gradient estimates, without any additional objective
function evaluations. Sala, Baldanzini, and Pierini argue this
algorithm is useful for \'difficult optimization problems under a tight
function evaluation budget.\' This package can run SQG-DE in parallel
and sequentially.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
