+@article{byrd1995limited,
+ abstract = {An algorithm for solving large nonlinear optimization problems with simple bounds is described. It is based on the gradient projection method and uses a limited memory BFGS matrix to approximate the Hessian of the objective function. It is shown how to take advantage of the form of the limited memory approximation to implement the algorithm efficiently. The results of numerical tests on a set of large problems are reported.},
+ added-at = {2012-09-21T02:02:46.000+0200},
+ author = {Byrd, R. and Lu, P. and Nocedal, J. and Zhu, C.},
+ biburl = {http://www.bibsonomy.org/bibtex/2c7605a5d75473a64f24fb02d2a0a8281/peter.ralph},
+ doi = {10.1137/0916069},
+ eprint = {http://epubs.siam.org/doi/pdf/10.1137/0916069},
+ interhash = {5b3e191b77610d28f48a64125fbd050b},
+ intrahash = {c7605a5d75473a64f24fb02d2a0a8281},
+ journal = {SIAM Journal on Scientific Computing},
+ keywords = {methods optimization original},
+ number = 5,
+ pages = {1190-1208},
+ timestamp = {2012-09-21T02:02:46.000+0200},
+ title = {A Limited Memory Algorithm for Bound}
+}
+
+@article{ANU:1770520,
+author = {Powell,M. J. D.},
+title = {Direct search algorithms for optimization calculations},
+journal = {Acta Numerica},
+volume = {7},
+month = {1},
+year = {1998},
+issn = {1474-0508},
+pages = {287--336},
+numpages = {50},
+doi = {10.1017/S0962492900002841},
+URL = {http://journals.cambridge.org/article_S0962492900002841},
+}
