In spite of the relevance of the role played by generalized convexity in mathematical programming, research in finding efficient numerical methods for solving generalized convex optimization problems has not yet been sufficiently developed. The only text-book in which solution methods for pseudolinear functions and generalized convex quadratic functions are proposed is Martos’ [211].
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© 2009 Springer-Verlag Berlin Heidelberg
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(2009). Sequential Methods for Generalized Convex Fractional Programs. In: Generalized Convexity and Optimization. Lecture Notes in Economics and Mathematical Systems, vol 616. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70876-6_8
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DOI: https://doi.org/10.1007/978-3-540-70876-6_8
Publisher Name: Springer, Berlin, Heidelberg
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