Generated from class MR.DistanceFromWeightedPointsParams. Derived classes: Direct: (non-virtual) MR.DistanceFromWeightedPointsComputeParams This is the const half of the class.
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virtual unsafe void | Dispose (bool disposing) |
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unsafe MR.Std.Const_Function_FloatFuncFromMRVertId | pointWeight [get] |
| | function returning the weight of each point, must be set by the user
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| unsafe float | minWeight [get] |
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| unsafe float | maxWeight [get] |
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| unsafe float | maxWeightGrad [get] |
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| unsafe bool | bidirectionalMode [get] |
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virtual bool | _IsOwning [get] |
| | Returns true if this is an owning instance, and when disposed, will destroy the underlying C++ instance. If false, we assume that the underlying C++ instance will live long enough.
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Generated from class MR.DistanceFromWeightedPointsParams. Derived classes: Direct: (non-virtual) MR.DistanceFromWeightedPointsComputeParams This is the const half of the class.
◆ bidirectionalMode
| unsafe bool MR.Const_DistanceFromWeightedPointsParams.bidirectionalMode |
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for points, it must always true; for triangles: if true the distances grow in both directions from each triangle, reaching minimum in the triangle; if false the distances grow to infinity in the direction of triangle's normals, and decrease to minus infinity in the opposite direction
◆ maxWeight
| unsafe float MR.Const_DistanceFromWeightedPointsParams.maxWeight |
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get |
maximal weight among all points in the cloud; if this value is imprecise, then more computations will be made by algorithm
◆ maxWeightGrad
| unsafe float MR.Const_DistanceFromWeightedPointsParams.maxWeightGrad |
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get |
maximal magnitude of gradient of points' weight in the cloud, >=0; if maxWeightGrad < 1 then more search optimizations can be done
◆ minWeight
| unsafe float MR.Const_DistanceFromWeightedPointsParams.minWeight |
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get |
minimal weight among all points in the cloud; if this value is imprecise, then more computations will be made by algorithm
The documentation for this class was generated from the following file:
- MRClosestWeightedPoint.cs