2010
DOI: 10.1080/00036810903569523
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Source inversion of heat conduction from a finite number of observation data

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Cited by 15 publications
(6 citation statements)
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“…The values T u , T v are obtained via substitution of uᾱ 1 , vᾱ 2 in system (2). For obtaining values R(u) and R(v), we use equation (1). The quantities of (R(u)), (R(v)) and are calculated according to (24) and (25).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The values T u , T v are obtained via substitution of uᾱ 1 , vᾱ 2 in system (2). For obtaining values R(u) and R(v), we use equation (1). The quantities of (R(u)), (R(v)) and are calculated according to (24) and (25).…”
Section: Methodsmentioning
confidence: 99%
“…The regularized algorithms are initially widely used to solve different inverse problems in engineering. Thus, in papers [1][2][3][4], the authors applied regularization methods for solving inverse problems of thermal conductivity. Cordier et al [5], consider a model to a 2D cylinder wake flow where Tikhonov regularization methods of different orders are used to obtain the most efficient solutions.…”
Section: Introductionmentioning
confidence: 99%
“…We can compare the residual at time T and attempt some corrections to U 0 based on this residual such that the propagated solution at t ¼ T best matches observations. In the case of only a finite subset of observations, interpolation techniques can be utilized to complete the profile at t ¼ T across all values of x [7] prior to regularization to obtain an approximate smooth and continuous uT ðÞ heat profile.…”
Section: Inverse Problemmentioning
confidence: 99%
“…Furthermore, we shall establish error estimates for our solutions because practical data contain error and noises. In the second part, we will construct the approximate solutions for discrete differential equations, following a recent general idea (see [2]). Furthermore, we will reveal their inversions.…”
Section: The Heat Operatormentioning
confidence: 99%