A Large-Update Feasible Interior-Point Algorithm for Convex Quadratic Semi-definite Optimization Based on a New Kernel Function
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research
Link
http://link.springer.com/content/pdf/10.1007/s40305-013-0023-x.pdf
Reference23 articles.
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3. Bai, Y.Q., Guo, J., Roos, C.: A new kernel function yielding the best known iteration bounds for primal-dual interior-point algorithms. Acta Math. Sin. Engl. Ser. 25(12), 2169–2178 (2009)
4. Bai, Y.Q., Roos, C.: A polynomial-time algorithm for linear optimization based a new simple kernel function. Optim. Methods Softw. 18(6), 631–646 (2003)
5. Bai, Y.Q., Lesaja, G., Roos, C., Wang, G.Q., El Ghami, M.: A class of large-update and small-update primal-dual interior-point algorithms for linear optimization. J. Optim. Theory Appl. 138(3), 341–359 (2008)
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