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A fast numerical algorithm that exploits the mathematical structure of the resulting problem is developed.
This analysis leads us to a numerical algorithm that provides one with a Riemann solver.
We present a new numerical algorithm that aligns a quadrilateral grid with internal alignment curves (IACs).
By an efficient numerical algorithm that solves the model, the effect of bending on the nip pressure distribution is determined.
These equations are solved using a numerical algorithm that employs a conservative discretization scheme with mixed implicit and explicit formulations.
The object is to establish a numerical algorithm that will lead to an optimal drawbead contour that minimizes the earing defect in deep drawing.
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It is also the foundation for numerical algorithms that seek to analyze system behavior in ways that go beyond simulation.
The infrastructure that supports this activity depends critically on the development of new numerical algorithms that are reliable, efficient, and scalable.
Moreover, finding such numerical algorithms that can be implemented on high performance computer architectures efficiently is challenging.
Technical flow devices are usually optimized by using numerical algorithms that analyze a multitude of design variants for the flow restraining geometry until an optimum solution is found.
Nevertheless, computational mathematics now amassed a whole palette of numerical algorithms that can provide acceptable accuracy and interface between modern mathematical models in aerodynamics and high-performance computers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com