Numerical methods for optimal experimental design of large-scale ill-posed problems
نویسنده
چکیده
Experimental design for over-determined problems is a well studied topic where different criteria and optimization algorithms are explored. For ill-posed problems experimental design is rather new. In this paper we discuss optimal experimental design for ill-posed problems and suggest a numerical framework to efficiently achieve such a design. We demonstrate the effectiveness of our algorithm a common model problems. keywords: Experimental design, ill-posed, constrained optimization.
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تاریخ انتشار 2008