Recent developments in numerical methods for solving large differentiable nonlinear optimization problems are reviewed. State-of-the-art algorithms for solving unconstrained, bound-constrained, linearly constrained and non-linearly constrained problems are discussed. As well as important conceptual advances and theoretical aspects, emphasis is also placed on more practical issues, such as software availability.
No takes yet. Share an insight, caveat, or question.
Orban et al. (2005) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: