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We present a scalable computing framework for the solution stochastic multiobjective optimization problems.
OP2 is an "active" library framework for the solution of unstructured mesh applications.
OP2 is a high-level domain specific library framework for the solution of unstructured mesh-based applications.
The design of a new, truly robust multigrid framework for the solution of steady-state Reynolds-Averaged Navier Stokes (RANS) equations with two-equation turbulence models is presented.
We present a multigrid framework for the solution of the momentum equation arising in Hibler's viscous-plastic (VP) sea ice model.
A generalized finite-volume framework for the solution of fluid flows at all speeds in complex geometries and on unstructured meshes is presented.
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More details about the numerical framework used for the solution of the electromechanical model can be found in [ 7, 24].
In a companion paper [1], we have described a variational Bayesian framework for approximating the solution to the IBDT problem in the context of perception, learning and decision-making studies.
In a companion paper [1], we have described a variational Bayesian framework for approximating the solution to the Inverse Bayesian Decision Theory (IBDT) problem in the context of perception, learning and decision-making studies.
The attempts of robot implementations and simulation framework designs for the solution to three dimensional (3D) robot active olfaction problems are reviewed.
A computational framework developed for the solution of highly nonlinear fluid structure interaction problems characterized by shocks, large deformations, and self-contact is outlined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com