lbfgs

v. 
by Antonio Coppola
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Type Package
Date 2014-07-08
License GPL (>= 2)
LinkingTo Rcpp
Packaged 2014-08-30 10:14:37 UTC; antonio12
NeedsCompilation yes
Repository CRAN
Date/Publication 2014-08-31 11:23:32

Limited-memory BFGS Optimization

A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem of minimizing an objective, given its gradient, by iteratively computing approximations of the inverse Hessian matrix. The OWL-QN algorithm finds the optimum of an objective plus the L1-norm of the problem's parameters. The package offers a fast and memory-efficient implementation of these optimization routines, which is particularly suited for high-dimensional problems.
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Functions in lbfgs

Name Description
Leukemia Data from Golub et al. 1999
lbfgs Optimize function using libLBFGS library
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