A new recursive algorithm for inverting general tridiagonal and anti-tridiagonal matrices M El-Mikkawy, ED Rahmo Applied Mathematics and Computation 204 (1), 368-372, 2008 | 37 | 2008 |
A new optimized non-FSAL embedded Runge–Kutta–Nystrom algorithm of orders 6 and 4 in six stages M El-Mikkawy, ED Rahmo Applied mathematics and computation 145 (1), 33-43, 2003 | 35 | 2003 |
A new recursive algorithm for inverting general periodic pentadiagonal and anti-pentadiagonal matrices M El-Mikkawy, ED Rahmo Applied Mathematics and Computation 207 (1), 164-170, 2009 | 24 | 2009 |
Symbolic algorithm for inverting cyclic pentadiagonal matrices recursively—Derivation and implementation M El-Mikkawy, ED Rahmo Computers & mathematics with applications 59 (4), 1386-1396, 2010 | 23 | 2010 |
The numerical solution of the MRLW equation using the multigrid method YMA Essa, I Abouefarag, ED Rahmo Applied Mathematics 5 (21), 3328, 2014 | 9 | 2014 |
Higher-order conditions for strict local Pareto minima in terms of generalized lower and upper directional derivatives ED Rahmo, M Studniarski Journal of Mathematical Analysis and Applications 393 (1), 212-221, 2012 | 8 | 2012 |
Lower and upper Ginchev derivatives of vector functions and their applications to multiobjective optimization ED Rahmo, A Stasiak, M Studniarski Optimization Letters 8, 653-667, 2014 | 4 | 2014 |
Generating epsilon-efficient solutions in multiobjective optimization by genetic algorithm ED Rahmo, M Studniarski Applied Mathematics 8 (3), 395-409, 2017 | 3 | 2017 |
A new global scalarization method for multiobjective optimization with an arbitrary ordering cone ED Rahmo, M Studniarski Applied mathematics 8 (2), 154-163, 2017 | 3 | 2017 |
Approximating Clarke’s subgradients of semismooth functions by divided differences M Studniarski, ED Rahmo Numerical Algorithms 43, 385-392, 2006 | 3 | 2006 |
Characterizations of weak sharp minima for Lower-C1 functions ED Rahmo Journal of Mathematical Analysis and Applications, 2013 | 1 | 2013 |