Abstract
In recent years conjugate function theory has been used frequently in nonlinear programming, particularly in the context of duality. Even though the initial results were restricted to convex functions, the approach has been found quite powerful for nonconvex functions also. In this chapter we will consider this more general problem where the functions involved may be nonconvex.
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© 1976 Springer-Verlag Berlin · Heidelberg
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Bazaraa, M.S., Shetty, C.M. (1976). Conjugate Duality. In: Foundations of Optimization. Lecture Notes in Economics and Mathematical Systems, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48294-6_9
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DOI: https://doi.org/10.1007/978-3-642-48294-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-07680-3
Online ISBN: 978-3-642-48294-6
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