APA (7th ed.) Citation

Hess, M. W., Quaini, A., & Rozza, G. (2023). A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation. Advances in computational mathematics, 49(2), . https://doi.org/10.1007/s10444-023-10016-4

Chicago Style (17th ed.) Citation

Hess, Martin W., Annalisa Quaini, and Gianluigi Rozza. "A Data-driven Surrogate Modeling Approach for Time-dependent Incompressible Navier-Stokes Equations with Dynamic Mode Decomposition and Manifold Interpolation." Advances in Computational Mathematics 49, no. 2 (2023). https://doi.org/10.1007/s10444-023-10016-4.

MLA (9th ed.) Citation

Hess, Martin W., et al. "A Data-driven Surrogate Modeling Approach for Time-dependent Incompressible Navier-Stokes Equations with Dynamic Mode Decomposition and Manifold Interpolation." Advances in Computational Mathematics, vol. 49, no. 2, 2023, https://doi.org/10.1007/s10444-023-10016-4.