2022
DOI: 10.1007/978-981-19-0179-9_25
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Haar Wavelet Series Method for Solving Simultaneous Proportional Delay Differential Equations

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2023
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Cited by 2 publications
(2 citation statements)
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“…The popularity of wavelet-based numerical algorithms in the numerical analysis may be attributed to their straightforwardness, computational simplicity, and speedy convergence. It's important to keep in mind that there are distinct wavelet families, including Chebyshev, Daubechies, B-spline, Bernoulli, Haar, Fibonacci, Ultraspherical, and Legendre wavelets are consistently used to solve various biological and physical problems [21][22][23][24][25][26][27][28][29][30]. In this paper, we introduce a unique wavelets collocation approach that solves the fractional-order population growth model using Fibonacci polynomials and wavelets as fundamental functions, as well as a quasi-linearization methodology.…”
Section: Introductionmentioning
confidence: 99%
“…The popularity of wavelet-based numerical algorithms in the numerical analysis may be attributed to their straightforwardness, computational simplicity, and speedy convergence. It's important to keep in mind that there are distinct wavelet families, including Chebyshev, Daubechies, B-spline, Bernoulli, Haar, Fibonacci, Ultraspherical, and Legendre wavelets are consistently used to solve various biological and physical problems [21][22][23][24][25][26][27][28][29][30]. In this paper, we introduce a unique wavelets collocation approach that solves the fractional-order population growth model using Fibonacci polynomials and wavelets as fundamental functions, as well as a quasi-linearization methodology.…”
Section: Introductionmentioning
confidence: 99%
“…These techniques have made great strides in the fields of numerical analysis and approximation theory because of their low complexity, computational efficiency, and speedy convergence. Haar wavelets [16, 19], Bernoulli wavelets [20], harmonic wavelets [21], ultraspherical wavelets [22], Legendre wavelets [20], Laguerre wavelets [23], Chebyshev wavelets [17], and Euler wavelets [24] are all examples of wavelet families that are useful in addressing a wide range of physical, engineering, and biological issues [25, 26].…”
Section: Introductionmentioning
confidence: 99%