Contact
2020:
- R. Pulch, M. Youssef, "Machine learning for trajectories of parametric nonlinear dynamical systems", Journal of Machine Learning for Modeling and Computing 1:1, 75-95, (2020).
- R. Pulch, M. Youssef, "Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems", accepted in Scientific Computing in Electrical Engineering, (2020).
2019:
- M. Youssef, G. Baumann, "Troesch’s problem solved by Sinc methods", Mathematics and Computers in Simulation 162, 31–44, (2019)
- M. Youssef, "Poly-Sinc Collocation Method for Solving Coupled Burgers' Equations With a Large Reynolds number", New Methods in Numerical Analysis, Springer, (2019).
- M. Youssef, R. Pulch "Poly-Sinc Solution of Stochastic Elliptic Differential Equations", Journal of Scientific Computing, arXiv:1904.02017, (2019).
- M. Youssef, G. Baumann, "Weighted Lagrange Interpolation Using Orthogonal Polynomials: Stenger's Conjecture, Numerical Approach", https://arxiv.org/abs/1910.08387, (2019).
2017:
- M. Youssef, G. Baumann "On Bivariate Poly-Sinc Collocation Applied to Patching Domain Decomposition", J. Applied Mathematical Sciences, 11(5), pp. 209-226, (2017).
- M. Youssef, "Poly-Sinc Approximation Methods", PhD thesis, GUC, (2017).
2016:
- M. Youssef, G. Baumann "Collocation Method to Solve Elliptic Equations, Bivariate Poly-Sinc Approximation", Journal of Progressive Research in Mathematics (JPRM), ISSN: 2395-0218, 7(3), pp. 1079-1091 (2016).
- M. Youssef, H. A. El-Shrakawy, G. Baumann, "Lebesgue Constant Using Sinc Points", Advances in Numerical Analysis, Article ID 6758283, 10 pages, (2016).
- M. Youssef, H. A. El-Shrakawy, G. Baumann, "Multivariate Poly-Sinc Approximation, Error Estimation and Lebesgue Constant", Journal of Mathematics Research, Canadian Center of Sc. and Ed., 8(4), (2016).
2015:
- M. Youssef, G. Baumann, "Solution of Lane-Emden Type Equations Using Polynomial-Sinc Collocation Method", Int. Sc. Jr., Journal of Math., 2(1), (2015).
2014:
- M. Youssef, G. Baumann, "Solution of Nonlinear Singular Boundary Value Problems Using Polynomial-Sinc Approximation", Commun. Fac. Sci. Univ. Ank. Series A1, 63(2), pp. 41-58, (2014).
2013:
- F. Stenger, M. Youssef, J. Niebsch, "Improved Approximation via Use of Transformations" Multiscale Signal Analysis and Modeling, Eds. X.Shen and A.I.Zayed, New York, Springer, pp. 25-49, (2013).