Numerical analysis

Related lectures (28)

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Covers numerical integration methods, focusing on trapezoidal rules, degree of exactness, and error analysis.

Covers numerical integration techniques, focusing on Lagrange interpolation and various quadrature methods for approximating integrals.

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

Covers Euler and Crank-Nicolson methods for solving differential equations.

Explores numerical methods for solving ODE systems, stability regions, and absolute stability importance.

Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.

Provides an overview of polynomial interpolation techniques in numerical analysis, focusing on Lagrange interpolation and error estimation methods.

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

Covers digital integration, interpolation polynomials, and integration formulas with error analysis.

Explores numerical differentiation methods and round-off errors in computer computations.