@article{JSSv042i12,
title={The Scythe Statistical Library: An Open Source C++ Library for Statistical Computation},
volume={42},
url={https://www.jstatsoft.org/index.php/jss/article/view/v042i12},
doi={10.18637/jss.v042.i12},
abstract={The <b>Scythe</b> Statistical Library is an open source C++ library for statistical computation. It includes a suite of matrix manipulation functions, a suite of pseudo-random number generators, and a suite of numerical optimization routines. Programs written using <b>Scythe</b> are generally much faster than those written in commonly used interpreted languages, such as R and proglang{MATLAB}; and can be compiled on any system with the GNU GCC compiler (and perhaps with other C++ compilers). One of the primary design goals of the <b>Scythe</b> developers has been ease of use for non-expert C++ programmers. Ease of use is provided through three primary mechanisms: (1) operator and function over-loading, (2) numerous pre-fabricated utility functions, and (3) clear documentation and example programs. Additionally, <b>Scythe</b> is quite flexible and entirely extensible because the source code is available to all users under the GNU General Public License.},
number={12},
journal={Journal of Statistical Software},
author={Pemstein, Daniel and Quinn, Kevin M. and Martin, Andrew D.},
year={2011},
pages={1–26}
}