Traffic assignment is of great importance in real life from foot traffic assignment of a building to vehicle traffic assignment of a city. With the rapid increase of the number of agents and the size ...

Create divide and conquer, dynamic programming, and greedy algorithms. Understand intractable problems, P vs NP and the use of integer programming solvers to tackle some of these problems.

Traffic assignment is of great importance in real life from foot traffic assignment of a building to vehicle traffic assignment of a city. With the rapid increase of the number of agents and the size ...

In this context, a mixed-integer linear programming (MILP) model is formulated. A hierarchical planning method is used, which decomposes the integrated problem into two levels: the upper-level ...

tl/dr: I need help with the "generate()" method described below... a nudge in the correct direction or perhaps, a good reference/tutorial/something that helps me understand dynamic programming ...

Discover the optimal course allocation model for Nigerian universities. Solve the problem of overloaded and under-loaded lecturers with our dynamic programming approach. Achieve the best allocation ...

Picat is a new logic-based programming language. In many ways, Picat is similar to Prolog, especially B-Prolog, but it has functions in addition to predicates, pattern-matching instead of unification ...

Sequence alignment methods often use something called a 'dynamic programming' algorithm. What is dynamic programming and how does it work?