2020
DOI: 10.1007/s10891-020-02261-x
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Inverse Problem of Pipeline Transport of Weakly-Compressible Fluids

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Cited by 4 publications
(4 citation statements)
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“…where δ-the error level, ξ(t) is a random variable, modeled using a random number sensor. In this case, the value of the regularization parameter is determined by the residual principle [1], [3]. Numerical experiments were carried out on a space-time difference grid with steps of ∆t = 0.5 s, ∆x = 0, 02 m for the following exact values of the desired function ψ e (t) = 0.4; 0.6; 0.85 m 3 /kg at d = 0.5 m 2 /s, k = 0, 5…”
Section: Results Of Numerical Calculationsmentioning
confidence: 99%
See 1 more Smart Citation
“…where δ-the error level, ξ(t) is a random variable, modeled using a random number sensor. In this case, the value of the regularization parameter is determined by the residual principle [1], [3]. Numerical experiments were carried out on a space-time difference grid with steps of ∆t = 0.5 s, ∆x = 0, 02 m for the following exact values of the desired function ψ e (t) = 0.4; 0.6; 0.85 m 3 /kg at d = 0.5 m 2 /s, k = 0, 5…”
Section: Results Of Numerical Calculationsmentioning
confidence: 99%
“…The correctness of the formulation of boundary inverse problems and their solutions' existence and uniqueness in various functional classes are investigated in [6], [10], [11], [13], [14]. Numerical methods for solving boundary inverse problems for parabolic equations are considered in many papers [1], [3], [4], [15], [17].…”
Section: Problem Statementmentioning
confidence: 99%
“…where δ-the error level, ξ(t) is a random variable, modeled using a random number sensor. In this case, the value of the regularization parameter is determined by the residual principle [1], [3]. Numerical experiments were carried out on a space-time difference grid with steps of ∆t = 0.5 s, ∆x = 0, 02 m for the following exact values of the desired function ψ e (t) = 0.4; 0.6; 0.85 m 3 /kg at d = 0.5 m 2 /s, k = 0, 5…”
Section: Results Of Numerical Calculationsmentioning
confidence: 99%
“…The correctness of the formulation of boundary inverse problems and their solutions' existence and uniqueness in various functional classes are investigated in [6], [10], [11], [13], [14]. Numerical methods for solving boundary inverse problems for parabolic equations are considered in many papers [1], [3], [4], [15], [17].…”
Section: Problem Statementmentioning
confidence: 99%