Lectures related to Bezier Curves: Fundamentals and Applications

Covers polynomial interpolation, error analysis, stability, and piecewise linear interpolation using equally distributed nodes.

Explores polynomial interpolation for curve fitting, error analysis, and the Runge's phenomenon.

Explores numerical differentiation methods and round-off errors in computer computations.

Explores generalization in deep learning, covering model complexity, implicit bias, and the double descent phenomenon.

Explores geometric modeling using splines and freeform deformation for creating smooth surfaces and deformable objects in 3D space.

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

Explores trigonometric interpolation for approximating periodic functions and signals using equally spaced nodes.

Explores cubic splines and least-squares approximation, focusing on interpolation methods and error analysis.