Results 91 to 100 of about 17,583 (186)
Some Curvature Characterizations for Hessian Manifolds with Constant Hessian Sectional Curvature
N , Hessian manifoldunun kompakt bir hiperyuzeyi olsun. Once Hessian manifold konsepti hakkinda bilgi verecegiz sonra ikinci temel tensoru kullanarak sabit Hessian kesit egrilikli Hessian manifoldlari icin bazi egrilik karakterizasyonalari elde ...
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Complex Hessian Equations on Compact Kahler Manifold
This paper has been ...
Hou, Zuoliang, Ma, Xi-Nan, Wu, Damin
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ABSTRACT Guessing is the thesis that, roughly put, you may believe something iff it is among the most probable answers to a salient question. The thesis is motivated by observed features of felicitous belief reports when agents confront a question they aren't certain how to answer.
Helena Fang
wiley +1 more source
Abstract Due to the craft beer industry, there is an emerging need for winter malting barley (Hordeum vulgare L.) nitrogen (N) rate recommendations in Ohio. An experiment was conducted at seven site‐years to identify the optimum spring N application rate to maximize barley grain yield while maintaining protein requirements for malting.
Laura E. Lindsey +2 more
wiley +1 more source
Cross‐Method Explanation Stability Under Prediction‐Preserving Perturbations in Explainable AI
The cross‐method analysis showed common vulnerability patterns across gradient‐based and perturbation‐based explainers, whereas Grad‐CAM demonstrated a specific ability to be resilient. Further discussion revealed that, before prediction changes with increasing ε, explanation divergence could already have commenced, indicating that further explanation ...
Muhammad Hasnain +4 more
wiley +1 more source
On the Foundational Arguments of Sufficient Dimension Reduction
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
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A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials
This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline +2 more
wiley +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
This study introduces an asymptotic analysis to elucidate the multi‐scale transport mechanisms driving the relaxation dynamics in GITT experiments on composite Si‐C/graphite electrodes. The approach not only enhances physical understanding of coupled lithium transport mechanisms but also establishes a base for redesigning GITT protocols to achieve more
E. Jane, M. Higuera, F. Varas
wiley +1 more source

