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Scattered data fitting has always been a challenging problem in the fields of geometric modeling and computer-aided design.
Scattered data are often heterogeneous, which makes the task of gathering information very hard.
Surface reconstruction from scattered data points.
Its applications range from scattered data interpolation to reverse engineering.
Interpolation of scattered data has many applications in different areas.
Scene reconstruction and description: geometric primitive extraction from multiple viewed scattered data.
Approximation of scattered data is often a task in many engineering problems.
The method can easily accommodate unequally spaced and even non-monotonic scattered data.
Therefore, we use it to solve the scattered data fitting problem.
We present a high order multivariate approximation scheme for scattered data sets.
When the building officially opens in October, it should have 1,400 scattered data ports available for plugging into the switched network.
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