Functions | |
void | g2_spline (int dev, int n, double *points, int o) |
void | g2_filled_spline (int dev, int n, double *points, int o) |
void | g2_b_spline (int dev, int n, double *points, int o) |
void | g2_filled_b_spline (int dev, int n, double *points, int o) |
void | g2_raspln (int dev, int n, double *points, double tn) |
void | g2_filled_raspln (int dev, int n, double *points, double tn) |
void | g2_para_3 (int dev, int n, double *points) |
void | g2_filled_para_3 (int dev, int n, double *points) |
void | g2_para_5 (int dev, int n, double *points) |
void | g2_filled_para_5 (int dev, int n, double *points) |
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Plot a b-spline curve with o interpolated points per data point. So the larger o, the more fluent the curve. For most averaging purposes, this is the right spline.
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Plot a filled b-spline curve with o interpolated points per data point. So the larger o, the more fluent the curve. For most averaging purposes, this is the right spline.
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Using Newton's Divided Differences method, plot a filled piecewise parametric interpolation polynomial of degree 3 through the given data points.
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Using Newton's Divided Differences method, plot a filled piecewise parametric interpolation polynomial of degree 5 through the given data points.
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Plot a filled piecewise cubic polynomial with adjustable roundness through the given data points. Each Hermite polynomial between two data points is made up of 40 lines. Tension factor tn must be between 0.0 (very rounded) and 2.0 (not rounded at all, i.e. essentially a polyline).
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Using Young's method of successive over-relaxation, plot a filled spline curve with o interpolated points per data point. So the larger o, the more fluent the curve.
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Using Newton's Divided Differences method, plot a piecewise parametric interpolation polynomial of degree 3 through the given data points.
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Using Newton's Divided Differences method, plot a piecewise parametric interpolation polynomial of degree 5 through the given data points.
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Plot a piecewise cubic polynomial with adjustable roundness through the given data points. Each Hermite polynomial between two data points is made up of 40 lines. Tension factor tn must be between 0.0 (very rounded) and 2.0 (not rounded at all, i.e. essentially a polyline).
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Using Young's method of successive over-relaxation, plot a spline curve with o interpolated points per data point. So the larger o, the more fluent the curve.
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