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Lecture
Quadrature Formulas: Newton-Cotes, Lagrange Polynomials, Simpson Rule
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Interpolatory Quadrature Formulas
Covers interpolatory quadrature formulas for approximating definite integrals using polynomials and discusses the uniqueness of solutions and practical applications in numerical integration.
Numerical integration: continued
Covers numerical integration methods, focusing on trapezoidal rules, degree of exactness, and error analysis.
Numerical Integration: Lagrange Interpolation Methods
Covers numerical integration techniques, focusing on Lagrange interpolation and various quadrature methods for approximating integrals.
Numerical Integration: Basics
Covers digital integration, interpolation polynomials, and integration formulas with error analysis.
Numerical Integration: Legendre Polynomials
Explores Legendre polynomials and their role in numerical integration techniques.
Numerical Integration: Error Estimation
Covers error estimation in numerical integration methods using composite quadrature formulas and Lagrange interpolation.
Numerical Integration: Lagrange Interpolation, Simpson Rules
Explains Lagrange interpolation for numerical integration and introduces Simpson's rules.
Error Analysis and Interpolation
Explores error analysis and limitations in interpolation on evenly distributed nodes.
Numerical Integration: Simpson's Rule
Introduces Simpson's rule for numerical integration and Richardson extrapolation for accuracy improvement.
Quadrature: Digital Integration
Explains quadrature formulas for digital integration and achieving accurate results.