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Vol 28, No 2 (2020) > Applying Friedmann models to describe the evolution of the Universe based on data from the SAI Supernovae Catalog
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ISSN 2658-4670 (Print)
ISSN 2658-7149 (Online)
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Keywords
AQM
Cauchy problem
Cauchy problem for the Laplace equation
RED
Sage
Tikhonov regularization method
active queue management
asymptotic analysis
computer modeling
congestion control
deep learning
dynamical systems
finite difference method
firewall
ill-posed problem
machine learning
neural networks
normal modes
queuing system
random early detection
stochastic differential equations
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Keywords
AQM
Cauchy problem
Cauchy problem for the Laplace equation
RED
Sage
Tikhonov regularization method
active queue management
asymptotic analysis
computer modeling
congestion control
deep learning
dynamical systems
finite difference method
firewall
ill-posed problem
machine learning
neural networks
normal modes
queuing system
random early detection
stochastic differential equations