G-2004-85
Numerical Methods for Large-Scale Nonlinear Optimization
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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 nonlinearly-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.
Published November 2004 , 60 pages
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Jan 2005
Numerical methods for large-scale nonlinear programming
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Acta Numerica, 14, 299–361, 2005
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