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Lecture
Image Processing II
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Related lectures (28)
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Numerical analysis
Covers advanced numerical analysis topics including deep neural networks and optimization methods.
Interpolation: Spatial Phenomena and Methods
Covers global and local deterministic interpolation methods in geographic information systems, discussing expert knowledge, method selection, and uncertainty estimation.
Interpolation: Global vs. Local Methods
Covers interpolation in GIS, focusing on global vs. local methods.
Newton Method: Data Interpolation
Covers the Newton method for finding zeros of functions using data interpolation.
Interpolation de fonction
Explores interpolation of regular functions, error analysis, convergence, and Chebyshev polynomials.
Gauss-Legendre Quadrature Formulas
Explores Gauss-Legendre quadrature formulas using Legendre polynomials for accurate function approximation.
Polynomial Interpolation: Optimizing Error
Covers the optimization of error in polynomial interpolation, focusing on minimizing the error by strategically placing interpolation points.
Approximation of Data
Covers the least squares method for approximating data and handling errors.
Piecewise Polynomial Interpolation: Splines
Covers piecewise polynomial interpolation with splines, focusing on Lagrange interpolation with Chebyshev nodes and error convergence.
Cubic Splines and Least-Squares Approximation
Explores cubic splines and least-squares approximation, focusing on interpolation methods and error analysis.
