Unifying Optimization Algorithms to Aid Software System Users: optimx for R
Abstract
R users can often solve optimization tasks easily using the tools in the optim function in the null stats null package provided by default on R installations. However, there are many other optimization and nonlinear modelling tools in R or in easily installed add-on packages. These present users with a bewildering array of choices. null optimx null is a wrapper to consolidate many of these choices for the optimization of functions that are...
Paper Details
Title
Unifying Optimization Algorithms to Aid Software System Users: optimx for R
Published Date
Aug 24, 2011
Volume
43
Issue
1
Pages
1 - 14
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