Results 191 to 200 of about 131,594 (222)

Spin-Bounded Correlations: Rotation Boxes Within and Beyond Quantum Theory. [PDF]

open access: yesCommun Math Phys
Aloy A   +4 more
europepmc   +1 more source

Deep Q-Managed: a new framework for multi-objective deep reinforcement learning. [PDF]

open access: yesFront Artif Intell
Menezes R   +3 more
europepmc   +1 more source

Interacting filaments drive vesicle morphogenesis. [PDF]

open access: yesNat Commun
Zhang C, Zou G, Fang Y, Gao H, Yi X.
europepmc   +1 more source

An Inequality Involving Bernstein Polynomials and Box-Convex Functions

Mediterranean Journal of Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bogdan Gavrea, Ioan Gavrea
openaire   +1 more source

An Inequality Involving Some Linear Positive Operators and Box-Convex Functions

Results in Mathematics, 2021
Tha famous problem concerning Bernstein polynomials stated by Raşa (formally in 2014, however at this time 25-years old) and solved by \textit{J. Mrowiec} et al. [J. Math. Anal. Appl. 446, No. 1, 864--878 (2017; Zbl 1375.26040)] is extended to so-called box-convex functions. Not only Bernsterin polynomials could be considered.
Gavrea, Bogdan, Gavrea, Ioan
openaire   +1 more source

Global minimization of difference of quadratic and convex functions over box or binary constraints

Optimization Letters, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeyakumar, V., Huy, N. Q.
openaire   +1 more source

Cutting Plane Methods Based on the Analytic Barrier for Minimization of a Convex Function Subject to Box-Constraints

Optimization Methods and Software, 2002
We analyze three variants of analytic barrier methods for minimization of a convex function under box-constraints: the classical method of analytic barriers (centres), the proximal method of analytic barriers and the modified proximal method of analytic barriers.
Klaus Beer, Viktor A. Skokov
openaire   +1 more source

Minimization of a strictly convex separable function subject to convex separable inequality constraint and box constraints

Journal of Interdisciplinary Mathematics, 2009
Abstract A minimization problem with strictly convex separable objective function subject to a convex separable inequality constraint of the form “less than or equal to” and bounds on the variables is considered. Necessary and sufficient condition is proved for a feasible solution to be an optimal solution to this problem.
openaire   +1 more source

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