Lectures related to Gauss Formulas

Explores molecular dynamics simulations under holonomic constraints, focusing on numerical integration and algorithm formulation.

Covers numerical differentiation, integration, finite differences, Taylor expansions, and interpolation polynomials.

Covers the design of adiabatic reactors with a focus on isomerization reactions and energy balance calculations.

Covers Simpson's rule for numerical integration and its accuracy for polynomial functions.

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

Explores numerical integration order and convergence for accuracy in numerical methods.

Covers error estimation in numerical integration methods using composite quadrature formulas and Lagrange interpolation.

Covers numerical integration using rectangle and trapezoid formulas, with decreasing error as step size decreases.