Results 81 to 90 of about 9,300 (265)
A posteriori error estimates for beams with inexact flexural stiffness representation
Journal of Applied Mathematics and Computational Mechanics, 2023 André J. Torii +3 more
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Holocene vegetation change and fire–plant diversity shifts in Mediterranean France
Journal of Quaternary Science, EarlyView.ABSTRACT Changes in fire activity are recognized as a major threat to biodiversity and vegetation communities across the Mediterranean Basin. However, long‐term fire–vegetation interactions remain poorly investigated. Here, we combine a high‐resolution charcoal record with pollen data from the “Étang des Aulnes” lake (southern France) to reconstruct ...
Cécile Latapy +13 more
wiley +1 more source
Abstract and Applied Analysis, 2001 Solodkĭ (1998) applied the modified projection scheme of Pereverzev (1995) for obtaining error estimates for a class of regularization methods for solving ill-posed operator equations.
M. T. Nair, M. P. Rajan
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The adaptive finite element method for the Steklov eigenvalue problem in inverse scattering
Open Mathematics, 2020 In this study, for the first time, we discuss the posteriori error estimates and adaptive algorithm for the non-self-adjoint Steklov eigenvalue problem in inverse scattering.
Zhang Yu, Bi Hai, Yang Yidu
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Limnology and Oceanography Bulletin, EarlyView.Abstract Statistical analysis is a cornerstone of scientific research, yet young researchers in aquatic sciences often struggle when analyses begin without a clearly defined research question or a solid understanding of the data structure. This disconnect between data collection and analytical decision‐making recurrently drives unreliable findings ...
Juline Rodrigues da Conceição +1 more
wiley +1 more source
Abstract and Applied Analysis, 2013 This paper discusses spectral and spectral element methods with Legendre-Gauss-Lobatto nodal basis for general 2nd-order elliptic eigenvalue problems. The special work of this paper is as follows.
Jiayu Han, Yidu Yang
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Nonprofit Management and Leadership, EarlyView.ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid +2 more
wiley +1 more source
Numerical solution and errors analysis of iterative method for a nonlinear plate bending problem
Results in Applied MathematicsThis paper uses the HCT finite element method and mesh adaptation technology to solve the nonlinear plate bending problem and conducts error analysis on the iterative method, including a priori and a posteriori error estimates. Our investigation exploits
Akakpo Amoussou Wilfried +1 more
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Near Surface Geophysics, EarlyView.Abstract In studies of subsurface hydrology, monitoring and imaging techniques are used to estimate the moisture content, or to track moisture or injected tracer movement. One applied imaging technique is electrical resistance tomography (ERT), in which measurements collected using electrodes placed on the ground surface or in boreholes are used to ...
Mikko Räsänen +3 more
wiley +1 more source
Coverage‐based rarefaction fails to quantify relative species richness
Oikos, EarlyView.Coverage‐based rarefaction (CBR) is a high‐profile tool for assessing biodiversity that provides relative species richness estimates by leveraging the Good‐Turing index u to interpolate. In contrast to alternatives such as the Shannon and Simpson indices, CBR's main appeal is providing values in units of species. CBR is tested against a series of other
John Alroy
wiley +1 more source