Titlebook: New Perspectives in Software Engineering; Proceedings of the 1 Jezreel Mejia,Mirna Muñoz,Gloria Monica Martínez-A Conference proceedings 20

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Aldo Osmar Ortiz-Ballona,Lisbeth Rodríguez-Mazahua,Asdrúbal López-Chau,María Antonieta Abud-Figueroaon using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb

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Abraham Castillo-García,Lisbeth Rodríguez-Mazahua,Felipe Castro-Medina,Beatriz A. Olivares-Zepahua,Mon using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb

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on using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb

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Jorge Rodas-Osollo,Karla Olmos-Sánchez,Alicia Jiménez-Galina,Marlene Soltero-Romero,Angélica Pérez-Con using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb

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Cristian Olvera,Graciela Lara,Arturo Valdivia,Adriana Peñaon using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb

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Manuel Pérez Cota,Carlos Manuel Oliveira Alves,Miguel Ramón González Castroon using stochastic optimal control to predict financial deb.Stochastic Optimal Control (SOC)—a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty—has proven incredibly helpful to understanding and predicting deb

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r and viscosity solutions of second-order HJB equations in i.Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, focusing on its applicability to associated

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Adriana Peña Pérez Negrón,Mirna Muñoz,David Bonilla Carranza,Nora Rangelr and viscosity solutions of second-order HJB equations in i.Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, focusing on its applicability to associated

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