Results 11 to 20 of about 326 (253)

A Generalized Convexity and Inequalities Involving the Unified Mittag–Leffler Function

open access: yesAxioms, 2023
This article aims to obtain inequalities containing the unified Mittag–Leffler function which give bounds of integral operators for a generalized convexity. These findings provide generalizations and refinements of many inequalities. By setting values of
Ghulam Farid   +4 more
doaj   +2 more sources

An Estimate on the Flow Generated by Monotone Operators

open access: yesCommunications in Partial Differential Equations, 2010
In this paper we study the transport equation in the case where the vector field a(t, x) is monotone in space. The main result is a stability result w.r.t. weak convergence of a(t, x) of the corresponding flow.
Stefano Bianchini
exaly   +2 more sources

The operator formula for monotone triangles – simplified proof and three generalizations

open access: yesJournal of Combinatorial Theory - Series A, 2010
We provide a simplified proof of our operator formula for the number of monotone triangles with prescribed bottom row, which enables us to deduce three generalizations of the formula. One of the generalizations concerns a certain weighted enumeration of monotone triangles which specializes to the weighted enumeration of alternating sign matrices with ...
Ilse Fischer
exaly   +4 more sources

New view of fuzzy aggregations. Part III: extensions of the FPOWA operator in the problem of political management [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2021
The Ordered Weighted Averaging (OWA) operator was introduced by Yager [34] to provide a method for aggregating inputs that lie between the max and min operators.
Gia Sirbiladze
doaj   +1 more source

New view of fuzzy aggregations. part I: general information structure for decision-making models [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2021
The Ordered Weighted Averaging (OWA) operator was introduced by Yager [57] to provide a method for aggregating inputs that lie between the max and min operators.
Gia Sirbiladze
doaj   +1 more source

Generalized monotone operators and their averaged resolvents [PDF]

open access: yesMathematical Programming, 2020
The correspondence between the monotonicity of a (possibly) set-valued operator and the firm nonexpansiveness of its resolvent is a key ingredient in the convergence analysis of many optimization algorithms. Firmly nonexpansive operators form a proper subclass of the more general - but still pleasant from an algorithmic perspective - class of averaged ...
Heinz H. Bauschke   +2 more
openaire   +3 more sources

Generalized Monotone Operators on Dense Sets [PDF]

open access: yesNumerical Functional Analysis and Optimization, 2015
19 ...
László, Szilárd, Viorel, Adrian
openaire   +2 more sources

Generalized Solutions for the Sum of Two Maximally Monotone Operators [PDF]

open access: yesSIAM Journal on Control and Optimization, 2014
A common theme in mathematics is to define generalized solutions to deal with problems that potentially do not have solutions. A classical example is the introduction of least squares solutions via the normal equations associated with a possibly infeasible system of linear equations.
Heinz H. Bauschke   +2 more
openaire   +2 more sources

On the dynamics of sup-norm non-expansive maps [PDF]

open access: yes, 2005
We present several results for the periods of periodic points of sup-norm non-expansive maps. In particular, we show that the period of each periodic point of a sup-norm non-expansive map $f\colon M\to M$, where $M\subset \mathbb{R}^n$, is at most ...
Lemmens, Bas   +3 more
core   +1 more source

A topological degree theory for perturbed AG(S+)-operators and applications to nonlinear problems

open access: yes, 2021
Let X be a real reflexive Banach space with X⁎ its dual space and G be a nonempty and open subset of X. Let A:X⊇D(A)→2X⁎ be a strongly quasibounded maximal monotone operator and T:X⊇D(T)→2X⁎ be an operator of class AG(S+) introduced by Kittilä.
Asfaw, Teffera M.   +2 more
core   +1 more source

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