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Relational Event-Time in Quantum Mechanics
(Springer, 2021-12)
Some authors, inspired by the theoretical requirements for the formulation of a quantum theory of gravity, proposed a relational reconstruction of the quantum parameter-time—the time of the unitary evolution, which would ...
Quenched distributions for the maximum, minimum and local time of the Brox diffusion
(2021)
After leaving fixed the environment, which is called the quenchend case, we give explicitly the distribution function of the maximum and the minimum of the Brox diffusion at first time it reaches a barrier. We also give ...
Just-in-time e o desenvolvimento de fornecedores: algumas soluções brasileiras
(Universidade Federal do Rio de JaneiroBrasilInstituto COPPEAD de AdministraçãoUFRJ, 2020)
Fatores de êxito na implantação do just-in-time no Brasil
(Universidade Federal do Rio de JaneiroBrasilInstituto COPPEAD de AdministraçãoUFRJ, 2020)
Discutindo o trabalho de crianças e adolescentes no Brasil: cursos de vida, sentidos da ação econômica e transmissão intergeracional
(Universidade Federal de Minas GeraisUFMG, 2008-12-09)
Time allocation of children and adolescents is widely discussed in international academic literature, especially time allocation in work activities. This specific work intends to contribute in the debate about factors ...
Un Modelo para la Distribución Racional de la Actividad Académica en una Universidad
(Centro de Información Tecnológica, 2005)
Solving the non-convexity problem in some shopping-time and human-capital models
(Escola de Pós-Graduação em Economia da FGV, 2004-09-01)
Several works in the shopping-time and in the human-capital literature, due to the nonconcavity of the underlying Hamiltonian, use Örst-order conditions in dynamic optimization to characterize necessity, but not su¢ ciency, ...
Distributed-Memory load balancing with cyclic token-based work-stealing applied to reverse time migration
(Institute of Electrical and Electronics Engineers, 2019)
Discrete-time autoregressive model for unequally spaced time-series observations.
Most time-series models assume that the data come from observations that are equally spaced in time. However, this assumption does not hold in many diverse scientific fields, such as astronomy, finance, and climatology, ...
Discrete-time autoregressive model for unequally spaced time-series observations.
Most time-series models assume that the data come from observations that are equally spaced in time. However, this assumption does not hold in many diverse scientific fields, such as astronomy, finance, and climatology, ...