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Brett Bowman, Chad Oian, Jason Kurz, Taufiquar Khan, Eddie Gil and Nick Gamez
Modeling of physical processes as partial differential equations (PDEs) is often carried out with computationally expensive numerical solvers. A common, and important, process to model is that of laser interaction with biological tissues. Physics-informe...
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Alexander Köhler and Michael Breuß
The computation of correspondences between shapes is a principal task in shape analysis. In this work, we consider correspondences constructed by a numerical solution of partial differential equations (PDEs). The underlying model of interest is thereby t...
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Alexander Schaum
The application of autoencoders in combination with Dynamic Mode Decomposition for control (DMDc) and reduced order observer design as well as Kalman Filter design is discussed for low order state reconstruction of a class of scalar linear diffusion-conv...
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Oleh Pihnastyi,Daria Yemelianova,Dmytro Lysytsia
Pág. 54 - 60
Two classes of models for describing production flow lines are analyzed. The use of models of these classes for the design of highly efficient control systems of production lines, the technological route of which consists of a large number of technologic...
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Yusho Kagraoka
In option pricing models with correlated stochastic processes, an option premium is commonly a solution to a partial differential equation (PDE) with mixed derivatives in more than two space dimensions. Alternating direction implicit (ADI) finite differe...
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Earle Jennings
Pág. 54 - 70
This paper introduces a fundamentally new computer architecture for supercomputers. The core module is application compatible with an existing superscalar microprocessor, with minimized energy use, and is optimized for local sparse matrix operation...
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