Muaz Seydaoglu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Orthogonal Least Squares

Numerical Solution

Hamilton Jacobi

Top Venues

J. Comput. Appl. Math.

Math. Comput. Simul.

SIAM J. Matrix Anal. Appl.

Publications

Sergio Blanes, Nikita Kopylov, Muaz Seydaoglu
Efficient scaling and squaring method for the matrix exponential. CoRR (2024)
Philipp Bader, Sergio Blanes, Fernando Casas, Muaz Seydaoglu
An efficient algorithm to compute the exponential of skew-Hermitian matrices for the time integration of the Schrödinger equation. Math. Comput. Simul. 194 (2022)
Muaz Seydaoglu, Yusuf Ucar, Selçuk Kutluay
An efficient Strang splitting technique combined with the multiquadric-radial basis function for the Burgers' equation. Comput. Appl. Math. 40 (8) (2021)
Philipp Bader, Sergio Blanes, Fernando Casas, Muaz Seydaoglu
An efficient algorithm to compute the exponential of skew-Hermitian matrices for the time integration of the Schrödinger equation. CoRR (2021)
Muaz Seydaoglu, Hüseyin Koçak, Utku Erdogan
An efficient numerical treatment for the asymptotic behaviour of the nonlinear Airy-type problems. J. Comput. Appl. Math. 375 (2020)
Muaz Seydaoglu, Philipp Bader, Sergio Blanes, Fernando Casas
Computing the matrix sine and cosine simultaneously with a reduced number of products. CoRR (2020)
Muaz Seydaoglu
An accurate approximation algorithm for Burgers' equation in the presence of small viscosity. J. Comput. Appl. Math. 344 (2018)
Philipp Bader, Sergio Blanes, Enrique Ponsoda, Muaz Seydaoglu
Symplectic integrators for the matrix Hill equation. J. Comput. Appl. Math. 316 (2017)
Muaz Seydaoglu, Utku Erdogan, Turgut Özis
Numerical solution of Burgers' equation with high order splitting methods. J. Comput. Appl. Math. 291 (2016)
Philipp Bader, Sergio Blanes, Muaz Seydaoglu
The Scaling, Splitting, and Squaring Method for the Exponential of Perturbed Matrices. SIAM J. Matrix Anal. Appl. 36 (2) (2015)