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When an excessive contact occurs and one of the existing bonds should be broken to continue the densification, an efficient criterion based on multidimensional simplex geometry is used for searching the separating bond.
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The cost variances for quantity, schedule, engineering, estimating, other and support are treated as manifested uncertainty and considered as vertices of simplex geometries propagating over time thus creating an uncertainty "cloud".
In geometry, a 0-simplex is a point, a 1-simplex is a line segment, a 2-simplex is a triangle and a 3-simplex is a tetrahedron.
An alternative, consistent with the Aitchison geometry of the simplex, is proposed.
Non-linear programming (simplex algorithm) was used for determining the optimal building geometry.
Subsequently, a simplex-based design optimization algorithm automatically adjusts the reference Urolume geometry to facilitate precise positioning by reducing the foreshortening with 20% while maintaining the radial stiffness.
To estimate the source model, a downhill simplex non-linear inversion method is used to determine the fault rupture geometry, and an automatic fault discretization technique is employed to divide the fault plane to construct the optimal slip model, in which the uncertainties of the fault parameters are assessed by a Monte Carlo method.
This allows the effective use of simplex tetrahedra for which intricate contact conditions as well as mesh generation over complex evolving geometries can be easily treated––without the volumetric locking typically associated with conventional low order displacement-based elements.
See geometry: Cartesian geometry.
Simplex is closely held.
Geometry falters.
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