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A rational cubic trigonometric approximation scheme of the generalized Cornu spirals
Hira Mahmood1, Maria Hussain2, Malik Zawwar Hussain1
1Department of Mathematics, University of the Punjab, Lahore, Pakistan.
New approximation schemes using parametric rational cubic trigonometric Bézier curves efficiently approximate generalized Cornu spirals. These methods offer improved accuracy and efficiency compared to existing generalized Cornu spiral (GCS) approximation schemes.
Area of Science:
- Computer-Aided Geometric Design
- Approximation Theory
- Computational Geometry
Background:
- Generalized Cornu spirals (GCS) are essential in various fields, including computer graphics and mechanical engineering.
- Accurate approximation of GCS is crucial for design and simulation tasks.
- Existing GCS approximation schemes have limitations in terms of accuracy and efficiency.
Purpose of the Study:
- To introduce novel approximation schemes for generalized Cornu spirals.
- To develop parametric rational cubic trigonometric Bézier curve-based methods for GCS approximation.
- To optimize free parameters within these schemes to minimize approximation errors.
Main Methods:
- Development of two new approximation schemes: a 2-parameter scheme and a 4-parameter scheme.
- Utilizing parametric rational cubic trigonometric Bézier curves for curve approximation.
- Optimization of scheme parameters by minimizing the maximum relative curvature error.
Main Results:
- The proposed [Formula: see text] and [Formula: see text]-approximation schemes effectively approximate generalized Cornu spirals.
- Optimization of free parameters significantly reduced relative curvature errors.
- Comparative analysis demonstrated superior performance over existing GCS approximation schemes.
Conclusions:
- The developed [Formula: see text] and [Formula: see text]-approximation schemes provide a more accurate and efficient method for approximating generalized Cornu spirals.
- Parametric rational cubic trigonometric Bézier curves are suitable for high-fidelity GCS approximation.
- The optimization strategy effectively enhances the approximation quality.
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