Results 101 to 110 of about 164 (149)

A Note on a Nonlinear Minimax Location Problem in Tree Networks. [PDF]

J Res Natl Bur Stand (1977), 1977
Francis RL.
europepmc   +1 more source

Differential subordination theorems for new classes of meromorphic multivalent Quasi-Convex functions and some applications [PDF]

International Journal of Advances in Applied Mathematics and Mechanics, 2015
Abbas Kareem Wanas
doaj  

Quasiconvexity of sum of quasiconvex functions

Quasiconvexity of sum of quasiconvex functions
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Approximation of quasiconvex functions by neatly quasiconvex functions

Optimization Letters, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Suliman Al-Homidan, Loai Shaalan, Al-Homidan Suliman   +2 more
exaly   +3 more sources

Conditions for Convexity of Quasiconvex Functions

Mathematics of Operations Research, 1980
Necessary and sufficient conditions for convexity of lower semi-continuous quasiconvex functions are given. By applying these results to positively homogeneous functions it is shown that if f is a quadratic form which is quasiconvex on a convex C then f is convexifiable, that is, there exists a strictly increasing function k such that k ∘ f is convex.
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Characterization of Nonsmooth Semistrictly Quasiconvex and Strictly Quasiconvex Functions

Journal of Optimization Theory and Applications, 1999
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N Hadjisavvas, Aris Daniilidis, Hadjisavvas N   +2 more
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Is every radiant function the sum of quasiconvex functions?

Mathematical Methods of Operations Research, 2004
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Alberto Zaffaroni
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Functions Which Are Quasiconvex under Linear Perturbations

SIAM Journal on Optimization, 2012
A quasiconvex function is a function whose sublevel sets are convex. A function which is quasiconvex under every (possibly large) linear perturbation is, by definition, a convex function. In this well-written paper, motivated by applications in partial differential equations and optimal control, the authors study functions which are robustly ...
E N Barron
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