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Polynomial interpolation and its applications in numerical integration, numerical differentiation, splines, and finite element methods for ODEs.
Learning Outcomes 1. Construct Lagrange and Hermite interpolating polynomials to a function/set of points 2. Bound the error in polynomial interpolation 3. Derive Cauchy's theorem 4. Construct piecewise linear and cubic splines 5. Derive formulas for Newton-Cotes quadrature in low degrees 6. Derive formulas for Gaussian quadrature in low degrees 7. Bound the error in Newton-Cotes and Gaussian quadrature 8. Use the FEM to approximately solve ODEs 9. Derive the system of equations of the FEM solution with piecewise linear basis functions
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