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Numerical methods for large-scale nonlinear optimization. (English) Zbl 1119.65337
Summary: 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.

MSC:
65K05 Numerical mathematical programming methods
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