Results 121 to 130 of about 39,241 (326)

An Analytical-Numerical Method for the Solution of Nonlinear Fractional Fredholm Integro-Differential Equations With Logarithmic Weakly Singular Kernel

open access: yesJournal of Mathematics
In this work, we investigate a numerical method for solving nonlinear fractional Fredholm integro-differential equations with logarithmic weakly singular kernels.
Ali Edham Awadh, Esmaeil Najafi
doaj   +1 more source

A note on the convergence of product integration and Galerkin method for weakly singular integral equations

open access: yes, 1997
We consider weakly singular integral equations of Fredholm-type whose kernels satisfy certain algebraic estimates with their derivatives. In particular, we establish optimal convergence order estimates for product integration and Galerkin method applied ...
Baratella, Paola
core   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

Uniform bounds on the 1-norm of the inverse of lower triangular Toeplitz matrices

open access: yes, 2011
A uniform bound on the 1-norm is given for the inverse of a lower triangular Toeplitz matrix with non-negative monotonically decreasing entries whose limit is zero. The new bound is sharp under certain specified constraints.
J.Y. Yuan   +7 more
core   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous   +2 more
wiley   +1 more source

Singularities of the Bergman kernel for certain weakly pseudoconvex domains

open access: yes, 1996
Consider the Bergman kernel $K^B(z)$ of the domain $\ellip = \{z \in \Comp^n ; \sum_{j=1}^n |z_j|^{2m_j}<1 \}$, where $m=(m_1,\ldots,m_n) \in \Natl^n$ and $m_n \neq 1$. Let $z^0 \in \partial \ellip$ be any weakly pseudoconvex point, $k \in \Natl$ the degenerate rank of the Levi form at $z^0$.
openaire   +4 more sources

Singularities of the Szegö Kernel for Certain Weakly Pseudoconvex Domains in C2

open access: yesJournal of Functional Analysis, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Product integration methods based on discrete spline quasi-interpolants and application to weakly singular integral equations

open access: yes, 2010
International audienceQuadrature formulae are established for product integration rules based on discrete spline quasi-interpolants on a bounded interval. The integrand considered may have algebraic or logarithmic singularities.
Sbibih, Driss   +6 more
core   +1 more source

ESG Ratings and Firms' Engagement in Global Innovation Ecosystems: Implications for Green Innovation Capacity

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao   +3 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

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