Interpolation de fonction

Related lectures (31)

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

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

Covers the optimization of error in polynomial interpolation, focusing on minimizing the error by strategically placing interpolation points.

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

Covers Lagrange interpolation using intervals to find accurate polynomial approximations.

Covers the basics of Newton interpolation and interpolation polynomials using Lagrange and Newton methods.

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

Covers the Newton method for finding zeros of functions using data interpolation.

Covers the Lagrange polynomial interpolation method and error analysis in function approximation.

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