2007
DOI: 10.1137/060657364
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Identifiability of Piecewise Constant Conductivity in a Heat Conduction Process

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Cited by 14 publications
(31 citation statements)
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“…This inversion procedure is accomplished by the Marching Algorithm described and justified in [7]. The Marching Algorithm ( [7], Theorem 4.6) is applied there to the identifiability of piecewise constant conductivities in a heat conduction problem.…”
Section: Identification Map and Its Continuitymentioning
confidence: 99%
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“…This inversion procedure is accomplished by the Marching Algorithm described and justified in [7]. The Marching Algorithm ( [7], Theorem 4.6) is applied there to the identifiability of piecewise constant conductivities in a heat conduction problem.…”
Section: Identification Map and Its Continuitymentioning
confidence: 99%
“…The resulting sequence of M numbers (denoted by G) provides the input to the Marching Algorithm (see [7]) which uniquely recovers the sought parameter a(x).…”
Section: Introductionmentioning
confidence: 99%
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“…For piecewise-constant thermal conductivity coefficients a(x) with finitely many discontinuity points, IP 1 was studied recently in [2]. An inverse problem for equation (3) with different extra data, namely U (ξ n , t) for t > 0, ξ n ∈ [0, 1], 1 ≤ n ≤ N , min 1≤n≤N |ξ n − ξ n+1 | ≥ σ > 0, where σ is a fixed number, N = 3ν, and ν is the number of discontinuity points of a, was studied in [1].…”
mentioning
confidence: 99%
“…These standing assumptions about q j are not repeated in the formulation of the theorems below. Denote by M 0 the set of L 1 (0, 1) functions which change sign at most finitely many times in the interval [0,1].…”
mentioning
confidence: 99%