Generalized scaling for the constrained maximum-entropy sampling problem
Author:
Funder
Air Force Office of Scientific Research
Conselho Nacional de Desenvolvimento Científico e Tecnológico
National Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10107-024-02101-3.pdf
Reference33 articles.
1. Anstreicher, K.M., Fampa, M., Lee, J., Williams, J.: Continuous relaxations for constrained maximum-entropy sampling. In: Integer Programming and Combinatorial Optimization (Vancouver. BC, 1996), volume 1084 of Lecture Notes in Computer Science, pp. 234–248. Springer, Berlin (1996)
2. Anstreicher, K.M., Fampa, M., Lee, J., Williams, J.: Using continuous nonlinear relaxations to solve constrained maximum-entropy sampling problems. Math. Program. Ser. A 85(2), 221–240 (1999)
3. Anstreicher, K.M., Lee, J.: A masked spectral bound for maximum-entropy sampling. In: mODa 7—Advances in Model-Oriented Design and Analysis, Contributions Statistics, pp. 1–12. Physica, Heidelberg (2004)
4. Anstreicher, K.M.: Maximum-entropy sampling and the Boolean quadric polytope. J. Global Optim. 72(4), 603–618 (2018)
5. Anstreicher, K.M.: Efficient solution of maximum-entropy sampling problems. Oper. Res. 68(6), 1826–1835 (2020)
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