Di_erence of Convex(D.C.) Functions and Their Minimal Representations

dc.contributor.advisorMitiku, Semu(PhD)
dc.contributor.authorGidey, Gebretsadik
dc.date.accessioned2018-07-16T06:20:17Z
dc.date.accessioned2023-11-04T12:32:29Z
dc.date.available2018-07-16T06:20:17Z
dc.date.available2023-11-04T12:32:29Z
dc.date.issued2013-06-27
dc.description.abstractA function f de_ned on a given convex set X which can be expressed as a di_erence of two convex (continuous) functions is called d.c function or _-convex function. The functions which are Lipschitz and bounded variation are expressible as a d.c. function and since those family of d.c. functions form a linear space as well as a lattice, it admits many operations. The decomposition of a given function f as a d.c. functions is not unique. Choosing the better (minimal) decomposition is useful in describing the optimality conditions for d.c. optimizationen_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/8585
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectDifference of Convex(D.C.)en_US
dc.subjectFunctions and Their Minimalen_US
dc.titleDi_erence of Convex(D.C.) Functions and Their Minimal Representationsen_US
dc.typeThesisen_US

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