Titlebook: Mathematical Programming The State of the Art; Bonn 1982 Achim Bachem,Bernhard Korte,Martin Gr?tschel Book 1983 Springer-Verlag Berlin Heid

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Conic Methods for Unconstrained Minimization and Tensor Methods for Nonlinear Equationsrespectively. Recently, methods using two generalizations of the standard models have been proposed for these problems. Conic methods for unconstrained minimization use a model that is the ratio of a quadratic function divided by the square of a linear function. Tensor methods for nonlinear equation

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R. L. Grahamlar one is of interest for industrial applications (e.g. singularity-free path planning). For parallel manipulators of Stewart-Gough type, geometric meaningful distance measures are known, which are used for the computation of the singularity distance as the global minimizer of an optimization probl