Results 81 to 90 of about 3,776 (198)

Hermite-Hadamard-Type Inequalities for r-Preinvex Functions

Journal of Applied Mathematics, 2013
We aim to fi…nd Hermite-Hadamard inequality for r-preinvex functions. Also, it is investigated for the product of an r-preinvex function and s-preinvex function.
Wasim Ul-Haq, Javed Iqbal
doaj   +1 more source

An inequality for the integral means of a Hadamard product [PDF]

Proceedings of the American Mathematical Society, 1988
Motivated by Colzani’s paper [ 1 ] we prove that \[ M
openaire   +2 more sources

Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley   +1 more source

Hadamard products and BPS networks

Journal of High Energy Physics
We study examples of fourth-order Picard-Fuchs operators that are Hadamard products of two second-order Picard-Fuchs operators. Each second-order Picard-Fuchs operator is associated with a family of elliptic curves, and the Hadamard product computes ...
Mohamed Elmi
doaj   +1 more source

Hadamard Products of Stable Polynomials Are Stable

Journal of Mathematical Analysis and Applications, 1996
A real polynomial is said to be (Hurwitz or asymptotically) stable if all its zeros lie in the open left half of the complex plane. The authors show that the Hadamard coefficientwise product of two stable polynomials is again stable, improving upon some known results.
Garloff, Jürgen, Wagner, David G.
openaire   +1 more source

Concomitant Gradient Effects Across Field Strengths and Gradient Amplitudes: Improved Estimation of Errors and Correction of Concomitant Dephasing and Diffusion Weighting

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1178-1191, September 2026.
ABSTRACT Purpose Deleterious effects from concomitant gradients are amplified at lower field strengths and stronger gradients. We aimed to show the signal errors caused by concomitant gradients across a wide range of hardware configurations and propose corrections that can be applied during experimental design and analysis.
Viktor Olsson, Felix Mortensen, Emil Ljungberg, Frederik Testud, Ronnie Wirestam, Malwina Molendowska, Filip Szczepankiewicz   +6 more
wiley   +1 more source

On the Hadamard product of inverse M-matrices

Linear Algebra and its Applications, 2000
I. Schur has shown that the class of positive semidefinite \(n \times n\) matrices is closed under Hadamard multiplication. It is shown that the same holds for the class of inverse \(M\)-matrices if and only if \(n\) is less than 4. Further results concern \textit{R. A. Willoughby}'s inverse \(M\)-matrices [ibid.
Wang, Bo-Ying, Zhang, Xiuping, Zhang, Fuzhen   +2 more
openaire   +3 more sources

scMOG: A graph neural network method for regulatory relationship‐preserving single‐cell multi‐omics integration

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell multi‐omics sequencing technology provides a powerful tool for studying cellular heterogeneity. However, beyond the challenges of sparsity, heterogeneity, and dimensionality differences, a critical challenge in multi‐omics data integration lies in preserving the true regulatory relationships among molecular features.
Yucheng Lu, Xun Zhang, Hongwei Li
wiley   +1 more source

Genetic dissection of southern corn leaf blight resistance in sweet corn through genome‐wide association studies and genomic selection

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract Southern corn leaf blight (SCLB) is caused by the fungal pathogen Bipolaris maydis (syn. Cochliobolus heterostrophus Drechsler) and is a common disease of fall crops of sweet corn. Phenotyping for SCLB resistance is performed through visual scoring, which is subjective and may limit genetic gain for this quantitative trait.
Darlon V. Lantican, Juan M. Gonzalez, Marco Antonio Peixoto, Kristen A. Leach, Larissa Carvalho Ferreira, Vitor A. Silva de Moura, Katia V. Xavier, Peter Balint‐Kurti, William Tracy, Marcio F. R. Resende Jr.   +9 more
wiley   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source