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S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio and Hideki Asai
Gradient-based methods are popularly used in training neural networks and can be broadly categorized into first and second order methods. Second order methods have shown to have better convergence compared to first order methods, especially in solving hi...
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Juan-Sebastian Rincon-Tabares, Juan C. Velasquez-Gonzalez, Daniel Ramirez-Tamayo, Arturo Montoya, Harry Millwater and David Restrepo
Solving transient heat transfer equations is required to understand the evolution of temperature and heat flux. This physics is highly dependent on the materials and environmental conditions. If these factors change with time and temperature, the process...
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Mikhail Kazak, Konstantin Koshel and Pavel Petrov
A generalized form of the matrix-invariant imbedding method was developed to solve boundary-value problems for coupled systems of Helmholtz-type equations. Within this approach, a boundary-value problem solution can be obtained by solving evolutionary fi...
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X.A. Lifanova,K.S. Zaytsev
Pág. 60 - 67
The desire to apply information technology in all spheres of human activity recently requires new approaches to process management. This article is devoted to solving the problem of using the Process Mining technology to identify illegitimate influences ...
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Chunming Tang, Yanni Li, Xiaoxia Dong and Bo He
In this paper, we consider a class of structured optimization problems whose objective function is the summation of two convex functions: f and h, which are not necessarily differentiable. We focus particularly on the case where the function f is general...
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