2022
DOI: 10.1002/mma.8655
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A Haar wavelets based approximation for nonlinear inverse problems influenced by unknown heat source

Abstract: In this discussion, a new numerical algorithm focused on the Haar wavelet is used to solve linear and nonlinear inverse problems with unknown heat source. The heat source is dependent on time and space variables. These types of inverse problems are ill‐posed and are challenging to solve accurately. The linearization technique converted the nonlinear problem into simple nonhomogeneous partial differential equation. In this Haar wavelet collocation method (HWCM), the time part is discretized by using finite diff… Show more

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Cited by 7 publications
(3 citation statements)
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“…The advantage of this method is that it is a non-continuous step and helps analyze images that suffer from spatial discontinuities. The primary wave of the Haar wave can be calculated and determined from (1) [29]- [31]:…”
Section: Haar Waveletmentioning
confidence: 99%
“…The advantage of this method is that it is a non-continuous step and helps analyze images that suffer from spatial discontinuities. The primary wave of the Haar wave can be calculated and determined from (1) [29]- [31]:…”
Section: Haar Waveletmentioning
confidence: 99%
“…Additionally, challenging fractional differential and integral equations are deciphered by CMHW as well [37][38][39]. Different other types of direct and inverse problems are also solved by the CMHW, which are reported in [40][41][42][43].…”
Section: Introductionmentioning
confidence: 99%
“…The right side unknown boundary condition is accurately measured by HWCM in a nonlinear inverse problem [14]. Apart from inverse problems, the HWCM is also applied to solve linear and nonlinear applied problems in [42][43][44][45][46][47][48] and the references therein.…”
Section:  Introductionmentioning
confidence: 99%