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Generalized Convexity, Generalized Monotonicity: Recent Results - Recent Results (Hardcover, 1998 ed.)
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Generalized Convexity, Generalized Monotonicity: Recent Results - Recent Results (Hardcover, 1998 ed.)
Series: Nonconvex Optimization and Its Applications, 27
Expected to ship within 10 - 15 working days
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A function is convex if its epigraph is convex. This geometrical
structure has very strong implications in terms of continuity and
differentiability. Separation theorems lead to optimality
conditions and duality for convex problems. A function is
quasiconvex if its lower level sets are convex. Here again, the geo
metrical structure of the level sets implies some continuity and
differentiability properties for quasiconvex functions. Optimality
conditions and duality can be derived for optimization problems
involving such functions as well. Over a period of about fifty
years, quasiconvex and other generalized convex functions have been
considered in a variety of fields including economies, man agement
science, engineering, probability and applied sciences in
accordance with the need of particular applications. During the
last twenty-five years, an increase of research activities in this
field has been witnessed. More recently generalized monotonicity of
maps has been studied. It relates to generalized convexity off
unctions as monotonicity relates to convexity. Generalized
monotonicity plays a role in variational inequality problems,
complementarity problems and more generally, in equilibrium prob
lems."
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