Results 131 to 140 of about 65,408 (307)

Convex approximations for a class of mixed-integer recourse models

open access: yes
We consider mixed-integer recourse (MIR) models with a single recourse constraint.We relate the secondstage value function of such problems to the expected simple integer recourse (SIR) shortage function.
Vlerk, Maarten H. van der
core  

Long time behavior of quasi-convex and pseudo-convex gradient systems on Riemannian manifolds

open access: yes, 2017
In this paper, we study the following gradient system on a complete Riemannian manifold M, {-x?(t) = grad'(x(t)) x(0) = x0, where ? : M ? R is a C1 function with Argmin ? ? ?. We prove that the gradient flow x(t) converges to a critical point of
P. Ahmadi, H. Khatibzadeh
core   +1 more source

Digital and tomographic identification of risk indicators for gingival recession in the mandibular anterior region: A cross‐sectional study

open access: yesJournal of Periodontology, EarlyView.
Abstract Background To assess clinical and anatomical risk indicators for mid‐buccal gingival recessions (GRs) in the mandibular anterior region using digital and tomographic tools. Methods A cross‐sectional study was conducted on 103 patients (618 teeth).
Gonzalo Blasi   +5 more
wiley   +1 more source

Monotonicities of Quasi-Normed Orlicz Spaces

open access: yesAxioms
In this paper, we introduce a new Orlicz function, namely a b-Orlicz function, which is not necessarily convex. The Orlicz spaces LΦ generated by the b-Orlicz function Φ equipped with a Luxemburg quasi-norm contain both classical spaces Lp(p≥1) and Lp ...
Dong Ji, Yunan Cui
doaj   +1 more source

Optimality Conditions for Semivectorial Bilevel Convex Optimal Control Problems [PDF]

open access: yes
We present optimality conditions for bilevel optimal control problems where the upper level, to be solved by a leader, is a scalar optimal control problem and the lower level, to be solved by several followers, is a multiobjective convex optimal control ...
Henry Bonnel, Jacqueline Morgan
core  

Behavioral responses of black bears to human presence and infrastructure in Yosemite National Park

open access: yesThe Journal of Wildlife Management, EarlyView.
Using GPS collar data from black bears in Yosemite National Park, we examined how bear spatiotemporal activity in relation to human development shifted during the COVID‐19 park closure in 2020. In the absence of visitors, bears maintained consistent landscape‐scale space use but altered fine‐scale spatial and temporal behaviors.
Jennifer R. Green   +9 more
wiley   +1 more source

On the Fekete-Szego problem for alpha-quasi-convex functions

open access: yesTamkang Journal of Mathematics, 2000
Let $ Q_\alpha(\alpha\ge 0)$ denote the class of normalized analytic alpha-quasi-convex functions $ f$, defined in the unit disc, $ D=\{z:|z|
openaire   +3 more sources

Optimal Lipschitzian selection operator in quasi-convex optimization

open access: yes, 1987
Given a bounded real function f defined on a closed bounded real interval I, the problem is to find a quasi-convex function f′ which minimizes the supremum of ¦f(s) − f′(s)¦ for all s in I, over the class of all quasi-convex functions f′ on I.
Ubhaya, Vasant A
core   +1 more source

Defining sagittal knee phenotypes via monopedal static anterior tibial translation. Part 1: Translating weight‐bearing sagittal position into clinical risk profiles

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Static anterior tibial translation (sATT) is a reproducible monopodal weight‐bearing radiographic parameter that reflects the resting sagittal position of the tibiofemoral joint. Distinct from manual laxity tests that quantify passive displacement limits, sATT captures the functional equilibrium of the tibia under physiological load ...
Mahmut Enes Kayaalp   +8 more
wiley   +1 more source

Self-Adaptive Limited-Memory Quasi-Newton Method with Function Value Information for Large-Scale Unconstrained Optimization

open access: yesMathematics
We extend the modified BFGS algorithm to a limited-memory framework, and propose a self-adaptive limited-memory quasi-Newton method, denoted as LADBFGS, for large-scale unconstrained optimization.
Jiangwen Ju, Weixin Lin, Hao Liu
doaj   +1 more source

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