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- W2029705153 abstract "A new method for nonlinear programming (NLP) using sequential linear constraint programming (SLCP) is described. Linear constraint programming (LCP) subproblems are solved by a new code using a recently developed spectral gradient method for minimization. The method requires only first derivatives and avoids having to store and update approximate Hessian or reduced Hessian matrices. Globalization is provided by a trust region filter scheme. Open source production quality software is available. Results on a large selection of CUTEr test problems are presented and discussed and show that the method is reliable and reasonably efficient." @default.
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- W2029705153 date "2012-01-01" @default.
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- W2029705153 title "A Sequential Linear Constraint Programming Algorithm for NLP" @default.
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