2002
DOI: 10.1081/tt-120015512
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Numerical Methods and Optimal Control for Glass Cooling Processes

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Cited by 55 publications
(26 citation statements)
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“…During the last years the increased computing power in combination with the usage of the approximate models has allowed for the numerical treatment of such large-scale optimization problems. In particular, optimal boundary control problems for the SP 1 -system yielded encouraging results and were successfully employed for many applications [20,12,15,11]. Nevertheless, the mathematical analysis of this optimal boundary control problem is still open.…”
Section: Introductionmentioning
confidence: 99%
“…During the last years the increased computing power in combination with the usage of the approximate models has allowed for the numerical treatment of such large-scale optimization problems. In particular, optimal boundary control problems for the SP 1 -system yielded encouraging results and were successfully employed for many applications [20,12,15,11]. Nevertheless, the mathematical analysis of this optimal boundary control problem is still open.…”
Section: Introductionmentioning
confidence: 99%
“…The SP N approximations were first proposed in [14] and theoretically studied in [19]. In [20,26], the SP N approximations have been extensively studied for radiative transfer in glass manufacturing, while in [13] they have been implemented for radiation in gas turbines. The SP N approximations have also been studied in [6] for internal radiation in crystal growth.…”
Section: Introductionmentioning
confidence: 99%
“…in the field of glass cooling processes or the design of combustion chambers, pose several challenging problems for applied mathematicians and engineers and have been extensively studied during the last years [3,21,16,2,1,6,13]. Due to the high numerical complexity of the model equations which are given by the radiative heat transfer system for the radiative intensity, there is a strong need for sophisticated reduced order models.…”
Section: Introductionmentioning
confidence: 99%