Diegel, Amanda E, Li, Xuejian, and Rebholz, Leo G. Analysis of continuous data assimilation with large (or even infinite) nudging parameters. Retrieved from https://par.nsf.gov/biblio/10608102. Journal of Computational and Applied Mathematics 456.C Web. doi:10.1016/j.cam.2024.116221.

Diegel, Amanda E, Li, Xuejian, & Rebholz, Leo G. Analysis of continuous data assimilation with large (or even infinite) nudging parameters. Journal of Computational and Applied Mathematics, 456 (C). Retrieved from https://par.nsf.gov/biblio/10608102. https://doi.org/10.1016/j.cam.2024.116221

Diegel, Amanda E, Li, Xuejian, and Rebholz, Leo G. "Analysis of continuous data assimilation with large (or even infinite) nudging parameters". Journal of Computational and Applied Mathematics 456 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.cam.2024.116221. https://par.nsf.gov/biblio/10608102.

@article{osti_10608102,
place = {Country unknown/Code not available}, title = {Analysis of continuous data assimilation with large (or even infinite) nudging parameters}, url = {https://par.nsf.gov/biblio/10608102}, DOI = {10.1016/j.cam.2024.116221}, abstractNote = {}, journal = {Journal of Computational and Applied Mathematics}, volume = {456}, number = {C}, publisher = {Elsevier}, author = {Diegel, Amanda E and Li, Xuejian and Rebholz, Leo G}, }