Solving maximum-entropy sampling problems using factored masks
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Software
Link
http://link.springer.com/content/pdf/10.1007/s10107-006-0024-1.pdf
Reference21 articles.
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2. Anstreicher K.M., Fampa M., Lee J., Williams J. (1999): Using continuous nonlinear relaxations to solve constrained maximum-entropy sampling problems. Math. Program. Ser. A 85(2): 221–240
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 to Statistics, pp. 1–10. Physica-Verlag, Heidelberg (2004)
4. Burer S., Monteiro R.D.C. (2001): A projected gradient algorithm for solving the Maxcut SDP relaxation. Optim. Methods Softw. 15, 175–200
5. Burer S., Monteiro R.D.C. (2003): A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization. Math. Program. Ser. B 95(2): 329–357
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