Abstract
We show how to modify the method of Goffin et al. (1992) and how to implement it efficiently for nondifferentiable convex minimization (NDCM). It is an application of a variant of an interior point algorithm to a cutting planes method for the minimizing function defined by supporting hyperplanes to its epigraph. In both algorithms new supporting hyperplanes are generated in weighted analytic centers (WAC) of certain polytope containing feasible set. A special ellipsoid centered in WAC is constructed to eliminate inactive supporting hyperplanes.
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References
Anna Altman (1992a). Computer Implementation of Weighted Analytic Centers in Nondifferentiable Convex Minimization, Working Paper of Systems Research Institute, ZTSW-5/ A1214/91r.
Anna Altman (1992b). Techniques of Inactive Planes Elimination in Weighted Projective Algorithm for Nondifferentiable Optimization (in preparation).
O. Bahn, J. L. Goffin, J. P. Vial, O. Du Merle (1991). Implementation and Behavior of an Interior Point Cutting Plane Algorithm for Convex Programming: An Application to Geometric Programming, Les cahiers du GERAD G-91-27.
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© 1993 Springer-Verlag Berlin Heidelberg
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Altman, A. (1993). Using Ellipsoids in Weighted Projective Algorithms for Nondifferentiable Optimization. In: Karmann, A., Mosler, K., Schader, M., Uebe, G. (eds) Operations Research ’92. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-12629-5_47
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DOI: https://doi.org/10.1007/978-3-662-12629-5_47
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0679-3
Online ISBN: 978-3-662-12629-5
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