Cubic Hermite spline

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Covers Bezier curves, de Casteljau Algorithm, properties, derivatives, splines, and end-points.

Explores splines, emphasizing the least-squares method for interpolating splines and demonstrating its application using MATLAB.

Explores B-splines, natural cubic splines, and smoothing splines in regression problems and their practical applications.

Covers piecewise polynomial interpolation with splines, focusing on Lagrange interpolation with Chebyshev nodes and error convergence.

Explores image interpolation, splines, wavelets, and geometric transformations in image processing.

Explains spline interpolation and error analysis in approximating data points using piecewise linear and spline methods.

Explores spline interpolation, least-squares approximation, and error analysis in interpolation.

Introduces Lagrange interpolation for approximating data points with polynomials, discussing challenges and techniques for accurate interpolation.

Explores the fundamentals and applications of Bezier curves, focusing on their construction, properties, and practical uses in design and modeling.

Covers the basics of Bezier curves and introduces Bernstein polynomials.