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Curve fitting with splines is a fundamental problem in computer-aided design and engineering.
The induction hardened shafts with splines are fatigue tested and the lives are presented.
The 3D coordinates for several selected control points on each fault segment were picked up, and these points were interpolated with splines to form the fault surface.
In addition, we discuss similarities and analogies of the detected properties and resulting constructions with splines and spline wavelets in the Euclidean domain.
Curve pairs are obtained by joining interior and exterior end points of light shelves with splines separately according to latitudes and the correlation between latitudes and light shelf size/position is created.
For smooth transitions, we draw the stream fields with splines and use gradient shading for the component colors.
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Interface is represented with spline interpolants which follow the VOF distribution.
A novel construction of compactly supported orthogonal scaling functions and wavelets with spline functions is presented in this paper.
It suggests that direct weighted summation of projections in approximation space could be used for deriving consistent output prediction in case model structure is built with spline wavelets.
The analysis was adjusted for several covariables with Cox regression analysis with spline functions.
This approach is similar in flexibility to model fitting with spline functions.
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