Error Estimation and Numerical Integration

Related lectures (28)

Page 1 of 3

Explains Lagrange interpolation for numerical integration and introduces Simpson's rules.

Covers Richardson extrapolation for numerical differentiation to reduce error.

Introduces Simpson's rule for numerical integration and Richardson extrapolation for accuracy improvement.

Covers the verification and validation process in numerical flow simulation, ensuring credibility of simulation outcomes.

Explains verification and validation in CFD simulations, focusing on Richardson extrapolation and accuracy checking.

Explores Romberg integration to improve numerical integration accuracy through iterative refinement of estimates.

Covers numerical integration methods, including Newton-Cotes and the Trapezoidal Rule.

Explores numerical integration methods and their application in solving differential equations and simulating physical systems.

Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.

Covers numerical differentiation and integration techniques using examples and quadrature formulas.