| A finite difference method for fractional diffusion equations with Neumann boundary conditions BJ Szekeres, F Izsák Open Mathematics 13 (1), 000010151520150056, 2015 | 24 | 2015 |
| Models of space-fractional diffusion: a critical review F Izsák, BJ Szekeres Applied Mathematics Letters 71, 38-43, 2017 | 23 | 2017 |
| Finite difference approximation of space-fractional diffusion problems: the matrix transformation method BJ Szekeres, F Izsák Computers & Mathematics with Applications 73 (2), 261-269, 2017 | 23 | 2017 |
| Finite element approximation of fractional order elliptic boundary value problems BJ Szekeres, F Izsák Journal of computational and applied mathematics 292, 553-561, 2016 | 17 | 2016 |
| Direct computation of the quantum partition function by path-integral nested sampling B Szekeres, LB Partay, E Mátyus Journal of Chemical Theory and Computation 14 (8), 4353-4359, 2018 | 11 | 2018 |
| Convergence of the matrix transformation method for the finite difference approximation of fractional order diffusion problems BJ Szekeres, F Izsák Applications of Mathematics 62 (1), 15-36, 2017 | 6 | 2017 |
| Efficient computation of matrix power-vector products: Application for space-fractional diffusion problems F Izsák, BJ Szekeres Applied Mathematics Letters 86, 70-76, 2018 | 5 | 2018 |
| Fractional derivatives for vortex simulations BJ Szekeres, F Izsák | 4 | 2016 |
| JÁRAI'S PRIME HUNTING METHODS RELOADED (THE LARGEST KNOWN CUNNINGHAM CHAIN OF LENGTH 2 OF THE 2nd KIND). G Farkas, G Gévay, P Magyar, B Szekeres Annales Universitatis Scientiarum Budapestinensis de Rolando Eotvos …, 2020 | 2 | 2020 |
| Numerical solution of fractional order diffusion problems with Neumann boundary conditions BJ Szekeres, F Izsák arXiv preprint arXiv:1411.1596, 2014 | 2 | 2014 |
| Turbulence modeling using fractional derivatives BJ Szekeres Mathematical Problems in Meteorological Modelling, 47-55, 2016 | 1 | 2016 |
| 3D Printing Failure Detection A Shadid, MT Birosz, B Szekeres, M Andó Scientific Books of Abstracts 2, 101-101, 2023 | | 2023 |
| On the computation of the gradient in implicit neural networks BJ Szekeres, F Izsák | | 2023 |
| Optimális neurális hálózat kiválasztása Bayes-becslés segítségével B Szekeres, M Kondics Mérnöki és Informatikai Megoldások, 37-46, 2021 | | 2021 |
| Optimális neurális hálózat kiválasztása Bayes-becslés segítségével M Kondics, B Szekeres | | 2021 |
| Törtrendű diffúzió modelljei és szimulációja= Modeling and Simulation of Fractional Diffusion F Izsák, BJ Szekeres ALKALMAZOTT MATEMATIKAI LAPOK 36 (2), 205-211, 2019 | | 2019 |
| Efficient Numerical Solution of Space-Fractional Diffusion Problems F Izsák, BJ Szekeres Progress in Industrial Mathematics at ECMI 2018, 307-312, 2019 | | 2019 |
| An iterative method based on fractional derivatives for solving nonlinear equations BJ Szekeres, F Izsák Progress in Industrial Mathematics at ECMI 2018, 337-342, 2019 | | 2019 |
| Törtrendű parciális differenciálegyenletek numerikus megoldása BJ Szekeres | | 2016 |
| Numerical solution of fractional partial differential equations BJ Szekeres Eötvös Loránd University, 2016 | | 2016 |
