Results 101 to 110 of about 7,046 (301)
On Certain Properties for Two Classes of Generalized Convex Functions
Abstract and Applied Analysis, 2016 Two classes of generalized convex functions in the sense of Beckenbach are considered. For both classes, we show that the existence of support curves implies their generalized convexity and obtain an extremum property of these functions.
Mohamed S. S. Ali
doaj +1 more source
Generalized convex inequalities [PDF]
Pacific Journal of Mathematics, 1963 Karlin, Samuel, Novikoff, Albert
openaire +2 more sources
Generalized convexity, nonsmooth variational inequalities, and nonsmooth optimization
, 2013 Until now, no book addressed convexity, monotonicity, and variational inequalities together. Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization covers all three topics, including new variational inequality problems ...
Ansari, Qamrul Hasan
core
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
AIChE Journal, EarlyView.Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
, 2006 In the article, the logarithmically complete monotonicity of a class of functions involving the Euler’s gamma function are proved, a class of the first Kershaw type double inequalities are established, and the first Kershaw’s double inequality and ...
Qi, Feng
core +1 more source
Advanced Intelligent Discovery, EarlyView.We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Maintaining the Regular Ultra Passum Law in data envelopment analysis [PDF]
The variable returns to scale data envelopment analysis (DEA) model is developed with a maintained hypothesis of convexity in input-output space. This hypothesis is not consistent with standard microeconomic production theory that posits an S-shape for ...
Ruggiero, John, Olesen, Ole B.
core
Advanced Intelligent Discovery, EarlyView.A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Metric Entropy under Generalized Convexity
, 2016 Convexity plays an essential role in many areas of mathematics, from geometry, analysis and linear algebra to numerous applications in other areas of mathematics such as optimization.
Cockreham, James
core
Best mean approximation by splines satisfying generalized convexity constraints
, 1980 A characterization of the best L1-approximation to a continuous function by classes of fixed-knot polynomial splines which satisfy generalized convexity constraints is presented and uniqueness is shown.
Pence, Dennis D.
core +1 more source