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A confidence voting process for ranking problems based on support vector machines
Jiao, Tianshi; Peng, Jiming; Terlaky, Tamás - 2009
Persistent link: https://www.econbiz.de/10008238888
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Convex approximations in stochastic programming by semidefinite programming
Deák, István; Pólik, Imre; Prékopa, András; … - 2012
Persistent link: https://www.econbiz.de/10009688657
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Convex approximations in stochastic programming by semidefinite programming
Deák, István; Pólik, Imre; Prékopa, András; … - 2012
Persistent link: https://www.econbiz.de/10010030788
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New Complexity Analysis of the Primal-Dual Newton Method for Linear Optimization
Peng, J.; Roos, C.; Terlaky, T. - 2000
Persistent link: https://www.econbiz.de/10008217324
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A nonconvex weighted potential function for polynomial target following methods
Klerk, E.de; Roos, C.; Terlaky, T. - 1998
Persistent link: https://www.econbiz.de/10008219114
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Optimization of nuclear reactor reloading patterns
Klerk, E.de; Roos, C.; Terlaky, T.; Illés, T.; Jong, A.J.de - 1997
Persistent link: https://www.econbiz.de/10008220209
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Primal-dual target-following algorithms for linear programming
Jansen, B.; Roos, C.; Terlaky, T.; Vial, J.-Ph - 1996
Persistent link: https://www.econbiz.de/10008220402
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A logarithmic barrier cutting plane method for convex programming
den Hertog, D.; Kaliski, J.; Roos, C.; Terlaky, T. - 1995
Persistent link: https://www.econbiz.de/10008223564
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Pivot rules for linear programming: A survey on recent theoretical developments
Terlaky, T.; Zhang, S. - 1993
Persistent link: https://www.econbiz.de/10008224661
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Degeneracy in interior point methods for linear programming: a survey
Güler, O.; Hertog, D.den; Roos, C.; Terlaky, T.; … - 1993
Persistent link: https://www.econbiz.de/10008224666