References
- Nocedal J, Wright SJ. Numerical optimization. New York (NY): Springer; 2006.
- Byrd R. S. R.B., and G. Shultz, Parallel quasi-Newton methods for unconstrained optimization. Math. Program. 1988;42:273–306.
- Nash S, Sofer A. Block truncated-Newton methods for parallel optimization. Math Program. 1989;45:529–546.
- Zenios S. Parallel numerical optimization: current status and an annotated bibliography. ORSA J Comput. 1989;1:20–43.
- Migdalas A, Toraldo G, Kumar V. Nonlinear optimization and parallel computing. Parallel Comput. 2003;29:375–391.
- Dennis JJ, Wu Z. Parallel continuous optimization. In: Dongarra J, Foster I, Fox G, Gropp W, Kennedy K, Torczon L, White A, editors. Sourcebook of parallel computing. San Francisco (CA), USA: Morgan Kaufmann Publishers; 2003. p. 649–670.
- Patel K. Parallel computation and numerical optimisation. Ann Oper Res. 1984;1:135–149.
- Pkua PH, Fan W, Zeng Y. Parallel algorithms for large-scale nonlinear optimization. Int Trans Oper Res. 1998;5:67–77.
- Laarhovenvan P. Parallel variable metric algortihms for unconstrained optimization. Math Program. 1985;33:68–81.
- Han SP. Optimization by updated conjugate subspaces. In: Griffiths D, Watson G, editors. Numerical Analysis. Burnt Mill, England: Longman Scientific and Technical; 1986. p. 82–97.
- Gould NIM, Orban D, Toint PL. CUTEr (and SifDec), a constrained and unconstrained testing environment, revisited. CERFACS; 2004. (Technical Report TR/PA/01/04).
- Okazaki N. C port of the L-BFGS method written by jorge nocedal. 2010. Available from: http://www.chokkan.org/software/liblbfgs/