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- W1971290180 abstract "The maximum entropy principle is a standard tool for the calibration of non–linear programming models which are frequently used for policy analysis. The information entropy function is concave and separable. In this paper, we derive a linear approximation of the entropy using separable programming. As we demonstrate, our linear entropy formulation is useful for the calibration of separable non–linear models of very large scale. To demonstrate, we solve both an ill–posed and a well–posed inverse problem and we analyse the sensitivity of the results on the number of breakpoints of the piecewise linear approximation." @default.
- W1971290180 created "2016-06-24" @default.
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- W1971290180 date "2015-01-01" @default.
- W1971290180 modified "2023-09-23" @default.
- W1971290180 title "A linearisation of the maximum entropy formalism using separable programming" @default.
- W1971290180 doi "https://doi.org/10.1504/ijor.2015.068558" @default.
- W1971290180 hasPublicationYear "2015" @default.
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