Large Blocks of Stock: Prevalence, Size, and Measurement
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This paper proposes an iterative scheme for worst-case parameter estimation in the presence of bounded model uncertainties. The algortihm distinguished itself from other estmation schemes, such as errors-in-variables and Hoo methors, in that it leads to le ...
We pose and solve a parameter estimation problem in the presence of bounded data uncertainties. The new formulation involves a minimization problem and admits a closed form solution in terms of the unique positive root of a secular equation. It also has in ...
An error in the omission of an author has been cor. Omitted Acknowledgments have also been provided. Only the author error was reflected in the abstr. (the heading) and the index entries. [on SciFinder (R)] ...
An efficient adaptive algorithm is presented for a stationary regularized Stefan problem in 2D. The adaptive criteria relies upon a posteriori estimates based on the residual equation. Since the problem we are studying is a non-linear diffusion-convection ...
