<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>oscarsglobal.r-universe.dev</title><link>https://oscarsglobal.r-universe.dev</link><description>Recent package updates in oscarsglobal</description><generator>R-universe</generator><image><url>https://github.com/oscarsglobal.png</url><title>R packages by oscarsglobal</title><link>https://oscarsglobal.r-universe.dev</link></image><lastBuildDate>Fri, 05 Jun 2026 01:09:41 GMT</lastBuildDate><item><title>[oscarsglobal] OSCARS 0.1.2</title><author>chrisj.price@canterbury.ac.nz (Chris Price)</author><description>A collection of general optimization routines based on
variants of the One Side Cut Accelerated Random Search
(OSCARS-II) algorithm (Price et al., 2020,
&lt;doi:10.1007/s10898-020-00928-6&gt;). The main function ,
'oscars()', performs black-box optimization of a general
(including nonsmooth or discontinuous) function subject to
simple bounds on the unknowns. If all bounds are finite, oscars
searches globally. The main method implements a stochastic
direct search method and is derivative free. Testing shows the
OSCARS-II algorithm usually finds extrema in fewer function
evaluations than similar global derivative-free methods.</description><link>https://github.com/r-universe/oscarsglobal/actions/runs/26992781905</link><pubDate>Fri, 05 Jun 2026 01:09:41 GMT</pubDate><r:package>OSCARS</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://oscarsglobal.r-universe.dev</r:repository><r:upstream>https://github.com/oscarsglobal/oscars</r:upstream></item></channel></rss>