Identification of a memory kernel in a semilinear integrodifferential parabolic problem with applications in heat conduction with memory. Bockstal, K. V., De Staelen, R. H., & Slodicka, M. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 289:196-207, 2015. abstract bibtex In this contribution, the reconstruction of a solely time-dependent convolution kernel is studied in an inverse problem arising in the theory of heat conduction for materials with memory. The missing kernel is recovered from a measurement of the average of temperature. The existence, uniqueness and regularity of a weak solution is addressed. More specific, a new numerical algorithm based on Rothe's method is designed. The convergence of iterates to the exact solution is shown. (C) 2015 Elsevier B.V. All rights reserved.
@Article{van-jcam-289-196-2015,
author = {K. Van Bockstal and R. H. {De Staelen} and M. Slodicka},
title = {Identification of a memory kernel in a semilinear
integrodifferential parabolic problem with applications in heat
conduction with memory},
journal = {JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS},
volume = {289},
pages = {196-207},
year = {2015},
entrydate = {2015/12/16},
abstract = {In this contribution, the reconstruction of a solely
time-dependent convolution kernel is studied in an inverse problem
arising in the theory of heat conduction for materials with
memory. The missing kernel is recovered from a measurement of the
average of temperature. The existence, uniqueness and regularity
of a weak solution is addressed. More specific, a new numerical
algorithm based on Rothe's method is designed. The convergence of
iterates to the exact solution is shown. (C) 2015 Elsevier B.V.
All rights reserved.},
}
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