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APPLIED MATHEMATICAL SCIENCES ISSN 1312-885X (print) ISSN 1314-7552 (online) |
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Nejmaddin A. Suleiman, Maher A. Nawkhass A new modified simplex method to solve quadratic fractional programming problem and compared it to a traditional simplex method by using pseudoaffinity of quadratic fractional functions Applied Mathematical Sciences, Vol. 7, 2013, no. 76, 3749-3764 http://dx.doi.org/10.12988/ams.2013.36298 Copyright © 2013 Nejmaddin A. Suleiman and Maher A. Nawkhass. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Cited by (4): Tingxi Wen, Huirong Wang, Ming-Fa Hsieh, Lingwei Xie, Daoyuan Wang, Weizhen Luo, Huailin Dong, An Online Chronic Diseases Consulting System: A Hyper Heuristic Algorithm Using Random and Greedy Strategy for Complex Scheduling Problems, Journal of Medical Imaging and Health Informatics, 6 (2016), no. 1, 233-239 [CrossRef] M. Jayalakshmi, A new approach for solving quadratic fractional programming Problems, International Journal of Applied Research, 1 (2015), no. 10, 788-792 [View at Publisher] M. Jayalakshmi, On Solving Linear Factorized Quadratic Fractional Programming Problems, International Journal of Applied Research, 1 (2015), no. 9, 1037-1040 [View at Publisher] Nejmaddin A. Suleiman and Maher A. Nawkhass, Transforming and Solving Multi-objective Quadratic Fractional Programming Problems by Optimal Average of Maximin and Minimax Techniques, American Journal of Operational Research, 3 (2013), no. 3, 92-98 [View at Publisher]
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