Results 61 to 70 of about 552 (144)
Quasiconvex and pseudoconvex functions in nonlinear programming
, 1987 .The paper based on B. Martos’ ideas (B. Martos, Nonlinear programming theory and methods, Akademiai Kiado, Budapest 1975.
Dubnicki, Walerian, Zorychta, Krystian
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Quasiconvex functions of higher order and the behaviour of some nonlinear functionals
Journal of Numerical Analysis and Approximation Theory, 1992 Not available.
Radu Precup
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Comparative Statics With Adjustment Costs and the Le Chatelier Principle
Econometrica, Volume 93, Issue 2, Page 661-694, March 2025.We develop a theory of monotone comparative statics for models with adjustment costs. We show that comparative‐statics conclusions may be drawn under the usual ordinal complementarity assumptions on the objective function, assuming very little about costs: only a mild monotonicity condition is required.
Eddie Dekel +2 more
wiley +1 more source
A topological property of limes-arcwise strictly quasiconvex functions
, 1988 Two characterizations of functions whose local minima are global are linked by investigating the level sets of limes-arcwise strictly quasiconvex ...
Horst, Reiner, Thach, Phan Thien
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Extendability of continuous quasiconvex functions from subspaces
, 2022 Let $Y$ be a subspace of a topological vector space $X$, and $A\subset X$ an open convex set that intersects $Y$. We say that the property $(QE)$ [property $(CE)$] holds if every continuous quasiconvex [continuous convex] function on $A\cap Y$ admits a ...
Veselý, Libor +1 more
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Hermite-Hadamard-type Inequalities for Increasing Convex-along-rays Functions
, 2001 Some inequalities of Hermite-Hadamard type for increasing convexalong-rays functions are given. Examples for particular domains including triangles, squares, and the part of the unit disk in the first quadrant are also ...
Dragomir, Sever S +2 more
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Quasiconvex functions can be approximated by quasiconvex polynomials
, 2008 Let W be a function from the real m×n-matrices to the real numbers. If W is quasiconvex in the sense of the calculus of variations, then we show that W can be approximated locally uniformly by quasiconvex ...
Heinz, Sebastian, Sebastian Heinz
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Convexité au sens direct ou inverse et applications dans l'optimisation vectorielle
Journal of Numerical Analysis and Approximation Theory, 2000 (in English) The aim of this paper is to study vector optimization poblems involving objective functions which are convex in some direct or inverse sense (i.e. a special class of cone-quasiconvex functions).
Nicolae Popovici
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An extension of the proximal point algorithm beyond convexity. [PDF]
J Glob Optim, 2022 Grad SM, Lara F.
europepmc +1 more source
Control in Probability for SDE Models of Growth Population. [PDF]
Appl Math Optim, 2022 Pérez-Aros P, Quiñinao C, Tejo M.
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