From 34b6eb23e75ff1d88fc71d6b17efa5657f3ae175 Mon Sep 17 00:00:00 2001 From: Lindon Roberts Date: Mon, 13 Aug 2018 16:06:05 +0100 Subject: [PATCH] Added note on reproducibility of paper figures --- README.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.rst b/README.rst index 820a247..f9e312a 100644 --- a/README.rst +++ b/README.rst @@ -16,7 +16,7 @@ Py-BOBYQA: Derivative-Free Solver for Bound-Constrained Minimization Py-BOBYQA is a flexible package for solving bound-constrained general objective minimization, without requiring derivatives of the objective. It is a Python implementation of the BOBYQA algorithm by Powell. Py-BOBYQA is particularly useful when evaluations of the objective function are expensive and/or noisy. -More details about Py-BOBYQA can be found in our paper: C. Cartis, J. Fiala, B. Marteau and L. Roberts, `Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers `_, technical report, University of Oxford, (2018). +More details about Py-BOBYQA can be found in our paper: C. Cartis, J. Fiala, B. Marteau and L. Roberts, `Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers `_, technical report, University of Oxford, (2018). For reproducibility of all figures in this paper, please feel free to contact the authors. The original paper by Powell is: M. J. D. Powell, The BOBYQA algorithm for bound constrained optimization without derivatives, technical report DAMTP 2009/NA06, University of Cambridge (2009), and the original Fortran implementation is available `here `_.