Results 221 to 230 of about 758,244 (273)

Generalized Invexity and Generalized Invariant Monotonicity

open access: yesJournal of Optimization Theory and Applications, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
K L Teo, X M Yang, X Q Yang
exaly   +5 more sources

Generalized invex monotonicity

European Journal of Operational Research, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rafaela Osuna-Gómez   +2 more
exaly   +4 more sources

Monotonicity in Generalized Semi-Markov Processes

Mathematics of Operations Research, 1992
We establish stochastic monotonicity of the event epoch sequences of generalized semi-Markov processes through the structure of the generalized semi-Markov schemes on which they are based. Our main condition states, roughly, that the occurrence of more events in the short run never leads to the activation of less events in the long run.
Paul Glasserman, David D Yao
exaly   +4 more sources

A Generalization of the Monotone Convergence Theorem

Mediterranean Journal of Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Linero-Bas, D. Nieves-Roldán
openaire   +1 more source

Monotonicity and the Generalized Inverse

SIAM Journal on Applied Mathematics, 1972
Necessary and sufficient conditions are given in order that a matrix A have a nonnegative generalized inverse $A^ + $. The concept of row-monotonicity is introduced and a characterization of row-monotone matrices is used to derive a necessary and sufficient condition on $A\geqq 0$ so that $A^ + \geqq 0$.
Berman, Abraham, Plemmons, Robert J.
openaire   +2 more sources

Generalized Monotone Affine Maps

SIAM Journal on Matrix Analysis and Applications, 1996
Summary: We derive new necessary and sufficient conditions for an affine map to be quasimonotone on a convex set.
Jean-Pierre Crouzeix, Siegfried Schaible
openaire   +2 more sources

Generalized Monotonicity of Subdifferentials and Generalized Convexity

Journal of Optimization Theory and Applications, 1997
A function \(f:X\to {\mathbb{R}}\) defined on a Banach space \(X\) is said to be quasiconvex if \[ \forall x,y\in X, \forall t\in [0,1]: f(x+t(y-x)) \leq \max \{f(x),f(y)\} . \] Given a notion of subdifferential \(\partial f\), the authors provide characterizations of the convexity and quasiconvexity of \(f\) in terms of the monotonicity and ...
Penot, J. P., Sach, P. H.
openaire   +1 more source

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