Transportation Optimization: Modeling and Solution

Related lectures (31)

Page 3 of 4

Covers explicit stabilized methods for stiff stochastic differential equations, analyzing their properties and applications.

Explores the stability analysis of finite difference methods for solving differential equations.

Explores the basics of supply and demand, analyzing profit maximization and factors influencing supply.

Covers power flow analysis, economic dispatching, and optimal power flow in electrical networks.

Discusses the explicit Runge Kulta method for function approximation and error analysis.

Explores digital integration methods, stability, and implicit schemes in Runge-Kutta methods.

Explores implicit and explicit methods in numerical analysis using Euler's paths.

Covers exam-like problems on nonlinear equations, ODEs, and numerical methods.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Introduces optimization basics, covering logistic regression, derivatives, convex functions, gradient descent, and second-order methods.