Results 101 to 110 of about 40,373 (224)
Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT This study analyzes farmers' preferences for sustainable crop protection, focusing on Integrated Pest Management (IPM) practices by incorporating social‐psychological factors to capture economic and behavioral dimensions. Using data from German and Polish potato farmers, we apply an integrated choice and latent variable framework that combines
Philip K. Miriti +3 more
wiley +1 more source
Matrix-valued orthogonal polynomials related to the quantum analogue of (SU (2) x SU(2), diag)
, 2017 Matrix-valued spherical functions related to the quantum symmetric pair for the quantum analogue of (SU (2) × SU (2) , diag) are introduced and studied in detail. The quantum symmetric pair is given in terms of a quantised universal enveloping algebra with a coideal subalgebra. The matrix-valued spherical functions give rise to matrix-valued orthogonal
N. Aldenhoven +2 more
openaire +4 more sources
Structural Concrete, EarlyView.Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella +2 more
wiley +1 more source
Structural Formulas for Matrix-Valued Orthogonal Polynomials Related to 2×2 Hypergeometric Operators
, 2023 We give some structural formulas for the family of matrix-valued orthogonal polynomials of size 2×2 introduced by C. Calderón et al. in an earlier work, which are common eigenfunctions of a differential operator of hypergeometric type. Specifically, we give a Rodrigues formula that allows us to write this family of polynomials explicitly in terms of ...
Calderón, C. +1 more
openaire +2 more sources
Journal of Agricultural Economics, EarlyView.ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen +6 more
wiley +1 more source
Matrix-Valued Orthogonal Polynomials Related to a Class of Random Walk
The foundational work of Karlin and McGregor established a powerful connection between random walks with tridiagonal transition matrices and the theory of orthogonal polynomials. We consider a particular extension of this framework, where the transition matrix is given by a polynomial in a tridiagonal matrix.
Roman, P., Menchon, S., Yin, Y.
openaire +2 more sources
The RAND Journal of Economics, EarlyView.ABSTRACT We study a long‐horizon, oligopolistic market with random shocks to demand that can be arbitraged by two storage operators with finite capacity. This problem applies to any storable commodity—that is, most commodities. Because the arbitrage spread is so sensitive to market power, storage operators face strong incentives to restrain quantities ...
Sergei Balakin, Guillaume Roger
wiley +1 more source
British Journal of Educational Technology, EarlyView.Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin +7 more
wiley +1 more source
Basis Networks: Learning basis functions for free‐form triangulations
Computer Graphics Forum, EarlyView.Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley +1 more source