Results 21 to 30 of about 1,199 (217)
Truncation error estimation for Newton–Cotes quadrature formulas
Theoretical and practical aspects of truncation error estimation for Newton–Cotes quadrature formulas are discussed in this paper.
Kostas Plukas, Danutė Plukienė
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Weighted Optimal Quadrature Formulas in Sobolev Space and Their Applications
The optimization of computational algorithms is one of the main problems of computational mathematics. This optimization is well demonstrated by the example of the theory of quadrature and cubature formulas.
Kholmat Shadimetov, Khojiakbar Usmanov
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Optimal quadrature formulas for approximate calculation of rapidly oscillating integrals
In this paper, we study the problem of constructing optimal formulas for approximate integration in the Sobolev space L2m˜0,1 of periodic functions. Using the functional approach, we obtain optimal quadrature formulas for the approximate calculation of ...
Kholmat Shadimetov +2 more
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Introduction. In many applied problems, such as statistical data processing, digital filtering, computed tomography, pattern recognition, and many others, there is a need for numerical integration, moreover, with a given (often quite high) accuracy ...
V.K. Zadiraka +2 more
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A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu +6 more
wiley +1 more source
Quadrature formulas and taylor series of secant and tangent [PDF]
Second-order quadrature formulas and their fourth-order expansions are derived from the Taylor series of the secant and tangent functions. The errors of the approximations are compared to the error of the midpoint approximation.
Yuri Dimitrov +2 more
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On Gauss’ and Tchebycheff’s quadrature formulas [PDF]
Not ...
openaire +3 more sources
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Active reactance in electro‐thermal memristors emerges intrinsically from rapid thermal switching of device resistance, linking current‐controlled and voltage‐controlled negative differential resistance to neuronal spiking dynamics. Opposing temperature coefficients of resistance give rise to active inductive or capacitive responses, enabling tunable ...
Fatme Jardali +4 more
wiley +1 more source
Governance Drivers of Fossil Fuel Divestment: Evidence From Global Banks
ABSTRACT Climate change poses increasing transition risks for the banking sector, as financial institutions remain exposed to fossil fuel activities despite growing sustainability commitments. This study examines whether corporate governance influences banks' decisions to adopt fossil fuel divestment policies.
Rosella Carè +3 more
wiley +1 more source

