Results 31 to 40 of about 37,103 (214)
On the convergence rates of Gauss and Clenshaw-Curtis quadrature for functions of limited regularity [PDF]
We study the optimal general rate of convergence of the n-point quadrature rules of Gauss and Clenshaw-Curtis when applied to functions of limited regularity: if the Chebyshev coefficients decay at a rate O(n^{-s-1}) for some s > 0, Clenshaw-Curtis and ...
Bornemann, Folkmar, Xiang, Shuhuang
core +2 more sources
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
doaj +1 more source
Optimal Biasing of a Self-Homodyne Optically Coherent RF Receiver
We present a technique that achieves the most efficient use of the linear dynamic range of available photodiodes without sacrificing the linearity of the radio-frequency (RF) digital receiver and photonic link based on optical phase modulation and ...
S. R. O'Connor +2 more
doaj +1 more source
Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture
This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus +9 more
wiley +1 more source
A priori error estimates for finite element methods with numerical quadrature for nonmonotone nonlinear elliptic problems [PDF]
The effect of numerical quadrature in finite element methods for solving quasilinear elliptic problems of nonmonotone type is studied. Under similar assumption on the quadrature formula as for linear problems, optimal error estimates in the L 2 and the H
Abdulle, Assyr, Vilmart, Gilles
core
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
We introduce an efficient open‐source numerical framework for the automated search for the placements of injection and production wells in hot fracture‐controlled reservoirs that sustainably optimize geothermal energy production. We model the reservoirs as discrete fracture networks in 3D. The fluid flow and heat transport in the reservoirs are modeled
Ondřej Pártl, Ernesto Meneses Rioseco
wiley +1 more source
Optical tomography for excited coherent states associated to deformed oscillators
In this manuscript, we study the deformed optical tomography for excited coherent states associated to deformed Heisenberg algebra. By using the numerical solution of the recurrence relation, we evaluate the eigenstates of the deformed quadrature ...
Abdullah M. Almarashi +4 more
doaj +1 more source
Advances in Position‐Momentum Entanglement: A Versatile Tool for Quantum Technologies
Position–momentum entanglement constitutes a high‐dimensional continuous‐variable resource in quantum optics. Recent advances in its generation, characterization, and control are reviewed, with emphasis on spontaneous parametric down‐conversion and modern measurement techniques.
Satyajeet Patil +6 more
wiley +1 more source

