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Sensitivity analysis in linear programming: just be careful!

Jansen, B.; de Jong, J. J.; Roos, C.; Terlaky, T. - In: European Journal of Operational Research 101 (1997) 1, pp. 15-28

Persistent link: https://www.econbiz.de/10005347641

Full Nesterov-Todd step infeasible interior-point method for symmetric optimization

Gu, G.; Zangiabadi, M.; Roos, C. - In: European Journal of Operational Research 214 (2011) 3, pp. 473-484

Euclidean Jordan algebras were proved more than a decade ago to be an indispensable tool in the unified study of interior-point methods. By using it, we generalize the full-Newton step infeasible interior-point method for linear optimization of Roos [Roos, C., 2006. A full-Newton step O(n)...

Persistent link: https://www.econbiz.de/10009249559

On lp programming

Terlaky, T. - In: European Journal of Operational Research 22 (1985) 1, pp. 70-100

Persistent link: https://www.econbiz.de/10005075316

Smoothing empirical functions by lp programming

Terlaky, T. - In: European Journal of Operational Research 27 (1986) 3, pp. 343-363

Persistent link: https://www.econbiz.de/10005236781

New complexity analysis of IIPMs for linear optimization based on a specific self-regular function

Salahi, M.; Peyghami, M.R.; Terlaky, T. - In: European Journal of Operational Research 186 (2008) 2, pp. 466-485

Persistent link: https://www.econbiz.de/10005287725