Optimal regularization strategies for large-scale parameter estimation problems (2019)
Source: Proceedings. Conference titles: AIChE Annual Meeting. Unidade: EP
Assunto: MODELAGEM DE DADOS
ABNT
NAKAMA, Caroline Satye Martins e CARRILLO LE ROUX, Galo Antonio e ZAVALA, Victor M. Optimal regularization strategies for large-scale parameter estimation problems. 2019, Anais.. New York: AIChE, 2019. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2019/proceeding/paper/740c-optimal-regularization-strategies-large-scale-parameter-estimation-problems. Acesso em: 30 nov. 2025.APA
Nakama, C. S. M., Carrillo Le Roux, G. A., & Zavala, V. M. (2019). Optimal regularization strategies for large-scale parameter estimation problems. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2019/proceeding/paper/740c-optimal-regularization-strategies-large-scale-parameter-estimation-problemsNLM
Nakama CSM, Carrillo Le Roux GA, Zavala VM. Optimal regularization strategies for large-scale parameter estimation problems [Internet]. Proceedings. 2019 ;[citado 2025 nov. 30 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2019/proceeding/paper/740c-optimal-regularization-strategies-large-scale-parameter-estimation-problemsVancouver
Nakama CSM, Carrillo Le Roux GA, Zavala VM. Optimal regularization strategies for large-scale parameter estimation problems [Internet]. Proceedings. 2019 ;[citado 2025 nov. 30 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2019/proceeding/paper/740c-optimal-regularization-strategies-large-scale-parameter-estimation-problems
