Lectures related to Numerical Analysis: Quadrature Formulas

Explores challenges in polynomial approximation, stability issues, and error analysis in numerical differentiation.

Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.

Covers the concept of numerical integration using quadrature formulas.

Explores active learning in Group Theory, focusing on products, coproducts, adjunctions, and natural transformations.

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

Explores Legendre polynomials properties and their use in numerical integration.