Results 71 to 80 of about 24,811,169 (263)
Chebyshev approximation by non-Chebyshev systems
We address the problem of the best uniform approximation by linear combinations of a finite system of functions. If the system is Chebyshev and the problem is unconstrained, then the classical Remez algorithm provides a fast and precise solution. For non-Chebyshev systems, this problem may offer a great resistance.
Protasov, Vladimir Yu., Kamalov, Rinat
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Numerical Simulation of Fractional Control System Using Chebyshev Polynomials [PDF]
Mathematical Problems in Engineering, 2018 In the current study, a numerical scheme based on Chebyshev polynomials is proposed to solve the problem of fractional control system. The operational matrix of fractional derivative is derived and that is used to transform the original problem into a system of linear equations.
Jun Zhang, Yugui Li, Jiaquan Xie
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Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Advanced Intelligent Discovery, EarlyView.Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
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Alexandria Engineering Journal, 2023 In this paper, the distributed-order time fractional diffusion equation is introduced and studied. The Caputo fractional derivative is utilized to define this distributed-order fractional derivative.
M.H. Heydari, M. Hosseininia, D. Baleanu
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Low power CMOS iImage sensor for face recognition [PDF]
, 2020 Imaging system is suitable for different purposes, depending upon their final application. Digital cameras, camcorders, webcams, security cameras or infrared (IR) cameras are well-known imaging systems.
Chan, Kit Heng, Ruslan, Siti Hawa
core
Advanced Intelligent Discovery, EarlyView.We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Design of robust sliding mode controller for nonlinear chaotic gyroscope system with input saturation [PDF]
فناوری در مهندسی هوافضاThe gyroscope system is a highly efficient and nonlinear system widely used in various industries, including military, aerospace, and navigation applications. This paper proposes a robust sliding mode controller to regulate the gyroscope system's chaotic
Ali Foroutan, Alireza Safa
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Chebyshev semi-iteration in Preconditioning [PDF]
, 2008 It is widely believed that Krylov subspace iterative methods are better than Chebyshev semi-iterative methods. When the solution of a linear system with a symmetric and positive definite coefficient matrix is required then the Conjugate Gradient method ...
Rees, Tyrone, Wathen, A. J.
core
, 2018 In this paper, we propose and analyze a spectral Chebyshev-Legendre approximation for fractional order integro-differential equations of Fredholm type. The fractional derivative is described in the Caputo sense.
Babolian, E. +3 more
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Preconditioned Chebyshev BiCG method for parameterized linear systems
ETNA - Electronic Transactions on Numerical Analysis, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Correnty, Siobhán +2 more
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