Results 51 to 60 of about 25,818 (165)
Mathematical Modelling and Analysis, 2023 A complete hypersingular integral equation of the second kind was obtained as a boundary integral equation for the diffraction and scattering problem of electromagnetic waves in space separated by the periodically placed non-perfectly conducting strips.
Oleksii V. Kostenko
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
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Error Estimates for the Nearly Singular Momentum-Space Bound-State Equations
Advances in Mathematical Physics, 2020 We present errors of quadrature rules for the nearly singular integrals in the momentum-space bound-state equations and give the critical value of the nearly singular parameter.
Yang-Hong Zhang, Jiao-Kai Chen
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Embedded Exponentially-Fitted Explicit Runge-Kutta-Nyström Methods for Solving Periodic Problems
Computation, 2020 In this work, a pair of embedded explicit exponentially-fitted Runge–Kutta–Nyström methods is formulated for solving special second-order ordinary differential equations (ODEs) with periodic solutions.
Musa Ahmed Demba +3 more
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The Swedish National Pediatric Cataract Register (PECARE): Coexisting systemic disorders 2007–2023
Acta Ophthalmologica, EarlyView.Abstract Purpose To analyse the frequency and type of coexisting systemic disorders in children operated on for cataract in Sweden. Methods Data were retrieved from the Swedish National Pediatric Cataract Register (PECARE) for children operated between January 1, 2007, and December 31, 2023 (n = 975), including follow‐ups at age 1, 2, 5 and 10 ...
David Wackerberg +9 more
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AIP Advances, 2022 Induction heating is a frequently used technology in both fundamental and applied research. It is heavily exploited in the industry for processing materials by heat treatments.
J. Rak, J. Tucek
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Learning with SGD and Random Features [PDF]
, 2018 Sketching and stochastic gradient methods are arguably the most common techniques to derive efficient large scale learning algorithms. In this paper, we investigate their application in the context of nonparametric statistical learning.
Carratino, Luigi +2 more
core +1 more source
Distribution of the k-th smallest Dirac operator eigenvalue : an update
, 2016 Based on the exact relationship to random matrix theory, we present an alternative method of evaluating the probability distribution of the k-th smallest Dirac eigenvalue in the epsilon-regime of QCD and QCD-like theories.
Nishigaki, Shinsuke M.
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European Management Review, EarlyView.ABSTRACT Although organizational purpose (OP) has recently gained attention in entrepreneurship research, its motivational potential in startups remains underexplored, limiting the development of effective purpose‐driven strategies to enhance employee work engagement (WE) and startup performance.
Julien A. Nussbaum +3 more
wiley +1 more source
Journal of Advanced Nursing, EarlyView.ABSTRACT Aim The aim of this discussion paper is to explore whether recontextualisation theory deepens our understanding of learning across multiple sites when introducing simulation‐based education (SBE) into nurse education. Background The requirement for students to learn in clinical placements remains an aspiration as well as a regulatory ...
Helen T. Allan, Mike O'Driscoll
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