Results 31 to 40 of about 236,899 (174)

On the magnitude function of domains in Euclidean space

open access: yes, 2020
We study Leinster's notion of magnitude for a compact metric space. For a smooth, compact domain $X\subset \mathbb{R}^{2m-1}$, we find geometric significance in the function $\mathcal{M}_X(R) = \mathrm{mag}(R\cdot X)$.
Gimperlein, Heiko, Goffeng, Magnus
core   +1 more source

Generalized invexity and mathematical programs [PDF]

open access: yesYugoslav Journal of Operations Research, 2021
In this paper, using generalized convexity assumptions, we show that Mstationary condition is sufficient for global or local optimality under some mathematical programming problem with equilibrium constraints(MPEC).
Joshi Bhuwan Chandra   +2 more
doaj   +1 more source

Generalized convex functions and generalized differentials [PDF]

open access: yesOptimization, 2011
We study some classes of generalized convex functions, using a generalized differential approach. By this we mean a set-valued mapping which stands either for a derivative, a subdifferential or a pseudo-differential in the sense of Jeyakumar and Luc. Such a general framework allows us to avoid technical assumptions related to specific constructions. We
Nguyen Thi Hong Linh, Jean-Paul Penot
openaire   +1 more source

An algebraic approach to the variants of convexity for soft expert approximate function with intuitionistic fuzzy setting

open access: yesJournal of Taibah University for Science, 2023
A new area of research called intuitionistic fuzzy soft expert set is expected to overcome the drawbacks of an intuitionistic fuzzy soft set in terms of eligibility for soft expert-argument approximate function.
Muhammad Ihsan   +3 more
doaj   +1 more source

Learning Model-Based Sparsity via Projected Gradient Descent [PDF]

open access: yes, 2016
Several convex formulation methods have been proposed previously for statistical estimation with structured sparsity as the prior. These methods often require a carefully tuned regularization parameter, often a cumbersome or heuristic exercise ...
Bahmani, Sohail   +2 more
core   +1 more source

Some new local fractional inequalities associated with generalized ( s , m ) $(s,m)$ -convex functions and applications

open access: yesAdvances in Difference Equations, 2020
Fractal analysis is one of interesting research areas of computer science and engineering, which depicts a precise description of phenomena in modeling. Visual beauty and self-similarity has made it an attractive field of research.
Thabet Abdeljawad   +3 more
doaj   +1 more source

Refinements of some fractional integral inequalities for refined ( α , h − m ) $(\alpha ,h-m)$ -convex function

open access: yesAdvances in Difference Equations, 2021
This article investigates new inequalities for generalized Riemann–Liouville fractional integrals via the refined ( α , h − m ) $(\alpha ,h-m)$ -convex function. The established results give refinements of fractional integral inequalities for ( h − m ) $(
Chahn Yong Jung   +4 more
doaj   +1 more source

A Note on Entanglement of Formation and Generalized Concurrence

open access: yes, 2004
We discuss a kind of generalized concurrence for a class of high dimensional quantum pure states such that the entanglement of formation is a monotonically increasing convex function of the generalized concurrence.
Albeverio   +21 more
core   +2 more sources

Generalized compactness in linear spaces and its applications

open access: yes, 2009
The class of subsets of locally convex spaces called $\mu$-compact sets is considered. This class contains all compact sets as well as several noncompact sets widely used in applications.
A. D. Ioffe   +24 more
core   +1 more source

Geometric properties of domains related to $\mu$-synthesis

open access: yes, 2014
In the paper we study the geometric properties of a large family of domains, called the generalized tetrablocks, related to the $\mu$-synthesis, containing both the family of the symmetrized polydiscs and the family of the $\mu_{1,n}$-quotients $\mathbb ...
Zapalowski, Pawel
core   +1 more source

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