Spline Interpolation: Definition and Error Analysis

Related lectures (28)

Page 3 of 3

Explores B-spline properties, gradient operators, interpolation, and differentiation filters in image processing.

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

Explores Gauss-Legendre quadrature formulas using Legendre polynomials for accurate function approximation.

Explores spatial transformations, polynomial splines, B-spline properties, interpolation, and differential operators in image processing.

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

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

Covers the least squares method for approximating data and handling errors.

Explores numerical differentiation using finite differences and addresses the impact of errors in computer computations.