Results 181 to 190 of about 10,934,899 (375)

On convex functions [PDF]

Transactions of the American Mathematical Society, 1919
openaire   +1 more source

Analytic continuation of holomorphic functions with values in a locally convex space [PDF]

, 1969
Witold M. Bogdanowicz
openalex   +2 more sources

Milne and Hermite-Hadamard's type inequalities for strongly multiplicative convex function via multiplicative calculus

AIMS Mathematics
In this paper, we take into account the notion of strongly multiplicative convex function and derive integral inequalities of Hermite-Hadamard ($ H.H $) type for such a function in the frame of multiplicative calculus.
Muhammad Umar, Saad Ihsan Butt, Youngsoo Seol   +2 more
doaj   +1 more source

Analytical Description of Nanowires: Morphing Wurtzite Structure Cross Sections to Match Arbitrary Convex Shapes

Advanced Theory and Simulations, EarlyView.
Analytic morphing of wurtzite nanowire cross sections to arbitrary shapes yields numbers of nanowire atoms, of bonds between these and of nanowire interface bonds, plus the nanowire cross section area. The ratios of above variables help to interpret any spectroscopic nanowire data which depend on diameter and cross section shape, and can be applied to ...
Dirk König, Sean C. Smith
wiley   +1 more source

A class of close-to-convex functions [PDF]

, 1968
R. M. Goel
openalex   +1 more source

A Novel Gradient Vector Flow Snake Model Based on Convex Function for Infrared Image Segmentation. [PDF]

Sensors (Basel), 2016
Zhang R, Zhu S, Zhou Q.
europepmc   +1 more source

A Meta‐Model for The Design of Soft Pneumatic Actuators Using Neural Networks and Finite Element Analysis

Advanced Theory and Simulations, EarlyView.
Data is generated from finite element simulations and an encoding using a Moore domain. The data is then used to train a meta‐model to predict the soft unit's deformation state depending on its chamber shape and properties as well as the surrounding environment.
Philip Frederik Ligthart, Martin Philip Venter   +1 more
wiley   +1 more source

Disciplined Geodesically Convex Programming [PDF]

arXiv
Convex programming plays a fundamental role in machine learning, data science, and engineering. Testing convexity structure in nonlinear programs relies on verifying the convexity of objectives and constraints. \citet{grant2006disciplined} introduced a framework, Disciplined Convex Programming (DCP), for automating this verification task for a wide ...
arxiv  

Variable Metric Forward–Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function

Journal of Optimization Theory and Applications, 2013
É. Chouzenoux, J. Pesquet, A. Repetti
semanticscholar   +1 more source

Crystal Structure Prediction of Cs–Te with Supervised Machine Learning

Advanced Theory and Simulations, EarlyView.
High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick, Caterina Cocchi   +1 more
wiley   +1 more source