Titlebook: Mathematics of Neural Networks; Models, Algorithms a Stephen W. Ellacott,John C. Mason,Iain J. Anderson Book 1997 Springer Science+Business

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J. G. Taylorolutions to real-world nonlinear optimization problems in a The purpose of this book is to develop a wide collection of nonlinear optimization applications from the real-world expressed in the GAMS (General Algebraic Modeling System) language. The book is designed to present these applications in a

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J. R. Alexander Jr.,J. P. Coughlinne an nonmonotone LCPs from different sources are solved by two versions of the IIP algorithm, which differ in the line-search technique that computes the stepsize. The first version, denoted by SIPP, employs the simple maximum ratio technique commonly used in IIP methods for linear programming. On

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I. J. Andersonvel varies. Roughly speaking, the topology of lower level sets only may change when passing a level which corresponds to a stationary point (or Karush-Kuhn­ Tucker point). We study elements of Morse Theory, both in the unconstrained and constrained case. Special attention is paid to the degree of di

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E. D. Aved’yan,M. Brown,C. J. Harris. Roughly speaking, the topology of lower level sets only may change when passing a level which corresponds to a stationary point (or Karush-Kuhn­ Tucker point). We study elements of Morse Theory, both in the unconstrained and constrained case. Special attention is paid to the degree of differentiab

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