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Course Contents

Introduction to Approximation Theory, Solution of systems of equations: linear & nonlinear. Interpolation: Splines theory, B-Spline, Bezier curve, Chebyshev interpolation, Trigonometric interpolation. Approximation: Best approximations and orthogonal projections, Systems of orthogonal polynomials , The order of convergence of polynomial approximations, The uniform boundedness theorem, Finding best approximations, Existence and uniqueness of best approximations. Special Topics: Relation between interpolation and approximation, Collocation vs. Galerkin methods for differential equations, Proper orthogonal decomposition, Wavelet approximation, FFT transformation and their application Software: All computational examples will be presented using MATLAB.


Course Learning Outcomes

By the end of the course, students will have a firm knowledge of univariate and multivariate approximation theory, and apply these concepts in functional analysis, cagd, data science and scientific computing.


Splines theory

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B-Spline, Bezier curve, Chebyshev interpolation, Trigonometric interpolation.

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Best approximations and orthogonal projections, Systems of orthogonal polynomials , The order of convergence of polynomial approximations

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The uniform boundedness theorem, Finding best approximations, Existence and uniqueness of best approximations.

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Relation between interpolation and approximation, Collocation vs. Galerkin methods for differential equations, Proper orthogonal decomposition, Wavelet approximation, FFT transformation and their application

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Book Title : Interpolation Processes Basic Theory and Applications
Author : GIUSEPPE MASTROIANNI
Edition :
Publisher : SPRINGER
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