The explosive growth of data generated by artificial intelligence, cloud computing and modern digital infrastructure is ...
Abstract: Long-term planning in power systems requires simulations of unit commitment (UC) for long time periods up to 20 years. Such simulations are conducted with production cost models (PCMs), ...
This toolbox is based on the following scientific publication: D. Ostermeier, J. Külz and M. Althoff, "Automatic Geometric Decomposition for Analytical Inverse Kinematics," in IEEE Robotics and ...
Abstract: Canonical Polyadic decomposition (CPD) obtains the low-rank approximation for high-order multidimensional tensors through the summation of a sequence of rank-one tensors, greatly reducing ...
In this package we implement two versions of SPOD, both available as parallel and distributed (i.e. they can run on multiple cores/nodes on large-scale HPC machines) via mpi4py: Current references to ...
ABSTRACT: Increasing needs for the study of complex dynamical systems require computing solutions of a large number of ordinary and partial differential time-dependent equations in near real-time.
In the field of computational fluid dynamics (CFD), smoothed particle hydrodynamics (SPH) is very suitable for simulating problems with large deformation, free surface flow and other types of flow ...
As artificial intelligence (AI) applications become ubiquitous in medical care, autonomous driving, robotics, and other fields, accuracy requirements and neural network complexity increase in tandem, ...
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