Piecewise Linear Interpolation and Spline Interpolation

Related lectures (28)

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Covers the concept of piecewise linear interpolation and the importance of dividing intervals correctly.

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

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

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

Covers the interpolation of nonlinear functions using Lagrange polynomials and error analysis.

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

Provides an overview of polynomial interpolation techniques in numerical analysis, focusing on Lagrange interpolation and error estimation methods.

Explores polynomial interpolation theory, emphasizing error expression and piecewise definition.

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

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