Lectures related to Monte Carlo Simulations

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

Explores efficient stochastic numerical methods for modeling and learning, covering topics like the Analytical Engine and kinase inhibitors.

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

Covers numerical integration methods, focusing on the trapezoidal rule and iterative processes.

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

Explores nonlinear geometric transformations in structural engineering, emphasizing accurate integration methods and practical applications.

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

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