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The basis subbands q jk 1 x, y) are tuned to any candidate orientation and scale, and the tuned subband is then inversely rotated and dilated.
Without the parallel stochastic optimization method, a refinement of a candidate orientation takes on average about 60 iterations per run.
Thought needs to be given to the educational design of candidate orientation to the selection process, information regarding a career in general practice, the materials which support understanding of the candidate pathway through the selection process, and supporting materials and guidance on the types of feedback available, during the process and on notification of the outcome of the application.
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The default method uses "affinity dG" scoring function to assess candidate orientations.
For the standard exhaustive scanning at 5° intervals a total of 168,634 candidate orientations must be processed while at 60° rotational intervals only 108 candidate orientations are refined.
When all candidate orientations are refined independently a total of about 6480 iterative refinement steps are needed to find the global optimum among all candidate orientations.
At a rotational sampling of 60°, there are 108 candidate orientations that can potentially serve as starting points for a refinement process.
We show that this accuracy can already be reached with only a relatively small number of sampled candidate orientations, for example at rotational intervals of 60° and 45°.
We estimate that the parallel stochastic refinement is on average about 20 to 40 fold faster in comparison to the independent refinement of all candidate orientations.
d, Candidate ant orientation.
After automated part tessellation and the detection of outer part surfaces, the algorithm determines candidate build orientations through a ray-tracing and convex hull method.
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