Abstract
We consider here the problem of minimizing a particular subclass of quasidifferentiable functions: those which may be represented as the sum of a convex function and a concave function. It is shown that in an n-dimensional space this problem is equivalent to the problem of minimizing a concave function on a convex set. A successive approximations method is suggested; this makes use of some of the principles of ∈-steepest-descent-type approaches.
Translated from Russian at the International Institute for Applied Systems Analysis (IIASA), A-2361 Laxenburg, Austria.
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References
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© 1986 The Mathematical Programming Society, Inc.
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Polyakova, L.N. (1986). On minimizing the sum of a convex function and a concave function. In: Demyanov, V.F., Dixon, L.C.W. (eds) Quasidifferential Calculus. Mathematical Programming Studies, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0121137
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DOI: https://doi.org/10.1007/BFb0121137
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-00929-7
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