%0 Journal Article %1 Ehrlacher2017 %A Ehrlacher, Virginie %A Lombardi, Damiano %D 2017 %I Elsevier BV %J Journal of Computational Physics %K simulation tensor train vlasov %P 285–306 %R 10.1016/j.jcp.2017.03.015 %T A dynamical adaptive tensor method for the Vlasov–Poisson system %V 339

@article{Ehrlacher2017, added-at = {2024-05-02T10:40:29.000+0200}, author = {Ehrlacher, Virginie and Lombardi, Damiano}, biburl = {https://www.bibsonomy.org/bibtex/284c63704df48af28caf330c2d60c6c07/ursg}, doi = {10.1016/j.jcp.2017.03.015}, interhash = {5ab2b630297134bae9819bf37c232341}, intrahash = {84c63704df48af28caf330c2d60c6c07}, issn = {0021-9991}, journal = {Journal of Computational Physics}, keywords = {simulation tensor train vlasov}, month = jun, pages = {285–306}, publisher = {Elsevier BV}, timestamp = {2024-05-02T10:40:29.000+0200}, title = {A dynamical adaptive tensor method for the Vlasov–Poisson system}, volume = 339, year = 2017 }