@article{JSSv032i04,
title={BB: An R Package for Solving a Large System of Nonlinear Equations and for Optimizing a High-Dimensional Nonlinear Objective Function},
volume={32},
url={https://www.jstatsoft.org/index.php/jss/article/view/v032i04},
doi={10.18637/jss.v032.i04},
abstract={We discuss <code>R</code> package <b>BB</b>, in particular, its capabilities for solving a nonlinear system of equations. The function <code>BBsolve</code> in <b>BB</b> can be used for this purpose. We demonstrate the utility of these functions for solving: (a) large systems of nonlinear equations, (b) smooth, nonlinear estimating equations in statistical modeling, and (c) non-smooth estimating equations arising in rank-based regression modeling of censored failure time data. The function <code>BBoptim</code> can be used to solve smooth, box-constrained optimization problems. A main strength of <b>BB</b> is that, due to its low memory and storage requirements, it is ideally suited for solving high-dimensional problems with thousands of variables.},
number={4},
journal={Journal of Statistical Software},
author={Varadhan, Ravi and Gilbert, Paul},
year={2009},
pages={1–26}
}