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For general distances, mapping functions can be derived by two different approaches the first approach is Multidimensional Scaling (MDS) in which an optimal mapping is derived based on minimizing the differences between the two distances over a finite dataset [44].
On the basis of converged learning forces obtained with learning control at a specific acceleration set-point profile, a finite impulse response mapping is derived to generalize the learned forces at a specific set-point toward arbitrary set-point profiles, thus relaxing the need for further learning.
An elastic plastic damage operator split integration algorithm with the backward Euler return mapping is derived, and a series of numerical simulations are carried out in comparison with tests under uniaxial, biaxial, pseudo-triaxial, and true triaxial loading with satisfactory agreement.
The method of mapping is derived from the mapping method employed by the International Cartilage Repair Society (ICRS) [ 31].
For each ITS mapping identified, a full reaction atom mapping is derived via VF2-based graph matching.
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Based on the number of false mappings and correct pairs, the best mapping was derived from CIREN.
The major alternative approaches for epitope mapping are derived from scanning with antigenic peptides displayed on the surface of bacteriophage, bacteria and yeast [14] [21], which in recent years have increasingly incorporated fluorescence-activated cell sorting (FACS).
The genetic map used for QTL mapping was derived from sequenced RNA in the IBMRIL (Li et al. 2013).
Map is derived from Geological Survey of China.
For each of the surface contours, a relative turning angle (RTA) map is derived.
A strain-pole map is derived and shown to explain the observed texture during thermal cycling.
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