In the chapter our interest focuses on algorithms for problems with constraints. We consider the problem
where
. The set Ω is convex and is called the polyhedron [187].
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© 2009 Springer-Verlag Berlin Heidelberg
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(2009). Optimization on a Polyhedron. In: Conjugate Gradient Algorithms in Nonconvex Optimization. Nonconvex Optimization and Its Applications, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85634-4_9
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DOI: https://doi.org/10.1007/978-3-540-85634-4_9
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