Results 91 to 100 of about 21,657 (246)

On Chebyshev Polynomials, Fibonacci Polynomials, and Their Derivatives

open access: yesJournal of Applied Mathematics, 2014
We study the relationship of the Chebyshev polynomials, Fibonacci polynomials, and their rth derivatives. We get the formulas for the rth derivatives of Chebyshev polynomials being represented by Chebyshev polynomials and Fibonacci polynomials.
Yang Li
doaj   +1 more source

Comparative Evaluation of Large Amplitude Oscillatory Shear (LAOS) Analysis Methods for Detecting Surfactant‐Induced Structural Evolution in Xanthan Gum Solutions

open access: yesJournal of Polymer Science, EarlyView.
A comparative large‐amplitude oscillatory shear analysis reveals how cationic surfactants progressively weaken xanthan gum networks. While conventional rheology identifies network softening, advanced LAOS methods uncover nonlinear deformation mechanisms and transient structural evolution that remain hidden in cycle‐averaged measurements.
Osita Sunday Nnyigide   +2 more
wiley   +1 more source

Numerical Solution of Time-Fractional Diffusion-Wave Equations via Chebyshev Wavelets Collocation Method

open access: yesAdvances in Mathematical Physics, 2017
The second-kind Chebyshev wavelets collocation method is applied for solving a class of time-fractional diffusion-wave equation. Fractional integral formula of a single Chebyshev wavelet in the Riemann-Liouville sense is derived by means of shifted ...
Fengying Zhou, Xiaoyong Xu
doaj   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

open access: yesWildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge   +4 more
wiley   +1 more source

Symmetrized Chebyshev polynomials [PDF]

open access: yesProceedings of the American Mathematical Society, 2004
We define a class of multivariate Laurent polynomials closely related to Chebyshev polynomials and prove the simple but somewhat surprising (in view of the fact that the signs of the coefficients of the Chebyshev polynomials themselves alternate) result that their coefficients are non-negative. As a corollary we find that
openaire   +2 more sources

An approximate solution of the Blasius problem using spectral method

open access: yesPartial Differential Equations in Applied Mathematics
This paper aims at finding the numerical approximation of a classical Blasius flat plate problem using spectral collocation method. This technique is based on Chebyshev pseudospectral approach that involves the solution is approximated using Chebyshev ...
Zunera Shoukat   +6 more
doaj   +1 more source

On Solution of Fredholm Integrodifferential Equations Using Composite Chebyshev Finite Difference Method

open access: yesAbstract and Applied Analysis, 2013
A new numerical method is introduced for solving linear Fredholm integrodifferential equations which is based on a hybrid of block-pulse functions and Chebyshev polynomials using the well-known Chebyshev-Gauss-Lobatto collocation points.
Z. Pashazadeh Atabakan   +2 more
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

Chebyshev polynomial approximation to approximate partial differential equations [PDF]

open access: yes
This pa per suggests a simple method based on Chebyshev approximation at Chebyshev nodes to approximate partial differential equations. The methodology simply consists in determining the value function by using a set of nodes and basis functions.
Guglielmo Maria Caporale, Mario Cerrato
core  

Some results on complex $(p,q)- $extnsion Chebyshev wavelets [PDF]

open access: yesJournal of Mahani Mathematical Research
In this paper, we propose a generalized formula for well-known functions such as $(p,q)$-Chebyshev polynomials. Our  consideration is focused on determining properties of generalized Chebyshev polynomials of the first and second kind, sparking interest ...
H. Mazaheri, A.W. Safi, S.M. Jesmani
doaj   +1 more source

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