Bezier Curves: Basics and Properties

Related lectures (29)

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

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.

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

Explores the complexity of calculating binomial coefficients using dynamic programming.

On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.

Explores elementary results in convex optimization, including affine, convex, and conic hulls, proper cones, and convex functions.

Explores error analysis and limitations in interpolation on evenly distributed nodes.

Explores Lagrange interpolation, emphasizing uniqueness and simplicity in reconstructing functions from limited values.

Covers revisions on calculus, derivation rules, interpolation, and tangent vectors.