Cai, Zhiqiang, Chen, Jingshuang, and Liu, Min. Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator. Retrieved from https://par.nsf.gov/biblio/10471062. Journal of Computational and Applied Mathematics 433.C Web. doi:10.1016/j.cam.2023.115298.

Cai, Zhiqiang, Chen, Jingshuang, & Liu, Min. Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator. Journal of Computational and Applied Mathematics, 433 (C). Retrieved from https://par.nsf.gov/biblio/10471062. https://doi.org/10.1016/j.cam.2023.115298

Cai, Zhiqiang, Chen, Jingshuang, and Liu, Min. "Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator". Journal of Computational and Applied Mathematics 433 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.cam.2023.115298. https://par.nsf.gov/biblio/10471062.

@article{osti_10471062,
place = {Country unknown/Code not available}, title = {Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator}, url = {https://par.nsf.gov/biblio/10471062}, DOI = {10.1016/j.cam.2023.115298}, abstractNote = {}, journal = {Journal of Computational and Applied Mathematics}, volume = {433}, number = {C}, publisher = {Elsevier}, author = {Cai, Zhiqiang and Chen, Jingshuang and Liu, Min}, }