Results 91 to 100 of about 24,937 (297)

A class of strongly close-to-convex functions

open access: yesBoletim da Sociedade Paranaense de Matemática, 2019
In this paper, we study a class of strongly close-to-convex functions $f(z)$ analytic in the unit disk $\mathbb{U}$ with $f(0)=0,f^{\prime }(0)=1$ satisfying for some convex function $g(z)$ the condition that\begin{equation*}\frac{zf^{\prime }(z)}{g(z)}\prec \left( \frac{1+Az}{1+Bz}\right) ^{m}\end{equation*}%\begin{equation*}\left( -1\leq A\leq 1,-1 ...
R. K. Raina, Poonam Sharma, Janusz Sokol
openaire   +4 more sources

Phase Diagrams Enable Solid‐State Battery Design

open access: yesAdvanced Materials Interfaces, EarlyView.
Batteries are non‐equilibrium devices with inherent thermodynamic driving forces to react at interfaces, regardless of kinetics or operating conditions. Chemical potential mismatches across interfaces are dissipated via interfacial reactions. In this work, it is illustrated how phase diagrams and chemical potential maps predict degradation pathways but
Nathaniel L. Skeele, Matthias T. Agne
wiley   +1 more source

Strongly F-Convex Functions with Structural Characterizations and Applications in Entropies

open access: yesAxioms
Strongly convex functions form a central subclass of convex functions and have gained considerable attention due to their structural advantages and broad applicability, particularly in optimization and information theory.
Hasan Barsam   +3 more
doaj   +1 more source

Certain Conditions For Strongly Starlike And Strongly Convex Functions

open access: yes, 2010
In the present paper, we investigate a differential subordination involving multiplier transformation related to a sector in the open unit disk E = {z : |z| < 1}. As special cases to our main result, certain sufficient conditions for strongly starlike and strongly convex functions are obtained.
Sukhwinder Singh Billing   +2 more
openaire   +2 more sources

Mechanical Stress Evolution in Polycrystalline Ge Thin Films Under MeV Ion Irradiation

open access: yesAdvanced Materials Interfaces, EarlyView.
Irradiation of polycrystalline Ge thin films with 1.8 MeV Au ions alters residual stress through defect generation and lattice expansion. Increasing fluence drives progressive lattice disorder and eventual amorphization. Polycrystalline Ge resists amorphization longer than crystalline Ge, as grain boundaries facilitate defect diffusion, significantly ...
Karla J. Paz Corrales   +10 more
wiley   +1 more source

First-order methods with inexact oracle: the strongly convex case [PDF]

open access: yes, 2013
The goal of this paper is to study the effect of inexact first-order information on the first-order methods designed for smooth strongly convex optimization problems. It can be seen as a generalization to the strongly convex case of our previous paper [1]
Nesterov, Yurii   +7 more
core  

Some new Hermite-Hadamard-type inequalities for strongly h-convex functions on co-ordinates

open access: yesOpen Mathematics
In this article, we study some Hermite-Hadamard-type inequalities for strongly hh-convex functions on co-ordinates in Rn{{\mathbb{R}}}^{n}, which extend some known results. Some mappings connected with these inequalities and related applications are also
Hong Weizhi   +3 more
doaj   +1 more source

Time‐Resolved Simultaneous Mapping of Thickness and Nanoparticle Concentration in Nanofluid Thin Films via Imaging Ellipsometry and Deep‐UV Reflectance Imaging

open access: yesAdvanced Materials Interfaces, EarlyView.
This study establishes a dual‐channel optical metrology framework integrating phase‐shifting imaging ellipsometry and deep‐UV reflectance imaging. This label‐free approach enables simultaneous, time‐resolved mapping of film thickness and nanoparticle (NP) concentration in dynamic nanofluid thin films.
Eita Shoji   +3 more
wiley   +1 more source

Quasi-Newton Algorithms for Non-smooth Online Strongly Convex Optimization [PDF]

open access: yes, 2011
The growing prevalence of networked systems with local sensing and computational capability will result in an increasing array of online and large scale optimization problems.
Godwin, Mark Franklin
core  

Alternating Proximity Mapping Method for Strongly Convex-Strongly Concave Saddle-Point Problems

open access: yes, 2023
This is a continuation of our previous work entitled \enquote{Alternating Proximity Mapping Method for Convex-Concave Saddle-Point Problems}, in which we proposed the alternating proximal mapping method and showed convergence results on the sequence of ...
Ouyang, Hui
core  

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