In network optimization problems, the objective function is typically trying to minimize the total cost, which may include factors such as transportation costs, production costs, or inventory costs.

Shortest path, maximum flow, and minimum spanning tree problems are all common types of network optimization problems.

Dijkstra's algorithm is a greedy algorithm used to find the shortest path between two nodes in a network.

Network optimization has a wide range of applications in the real world, including routing of vehicles, scheduling of tasks, and design of telecommunication networks.

Feasibility constraints, capacity constraints, and demand constraints are all common types of constraints that must be satisfied in network optimization problems.

Linear programming, integer programming, dynamic programming, and heuristic algorithms are all common techniques used to solve large-scale network optimization problems.

Ford-Fulkerson, Edmonds-Karp, and Dinic's algorithms are all used to find the maximum flow in a network.

Network optimization has a wide range of applications in telecommunications, including design of routing protocols, assignment of frequencies to channels, and congestion control.

Decision variables are the set of variables that are being optimized in a network optimization problem.

Branch-and-bound, cutting-plane, and Lagrangian relaxation are all common techniques used to solve network optimization problems with integer variables.

Prim's, Kruskal's, and Borůvka's algorithms are all used to find the minimum spanning tree of a network.

Network optimization has a wide range of applications in transportation, including routing of vehicles, scheduling of flights, and design of public transportation systems.

Feasible region is the set of values that the decision variables can take in a network optimization problem.

Linear programming, nonlinear programming, and convex optimization are all common techniques used to solve network optimization problems with continuous variables.

Floyd-Warshall algorithm is used to find the shortest path between all pairs of nodes in a network.