Focuses on velocity boundary layer equations in laminar flow and covers mass and momentum conservation, Navier-Stokes equations, and the Reynolds number.
Covers the convergence of the method and the importance of adapting time steps for accurate approximations.
Covers unconstrained and constrained optimization, optimal control, neural networks, and global optimization methods.
Explores heat transfer modes, emphasizing convection, including forced and natural convection, boundary layers, and heat transfer coefficients.
Covers advanced numerical analysis topics including deep neural networks and optimization methods.
Explores turbulence characteristics, modeling challenges, and various numerical simulation methods.
Covers the Runge Kutta method and its application to optimal control and neural networks.
Covers the fundamentals of heat transfer, focusing on radiation, conduction, and convection, including boundary layers and Nusselt number.
