MIT researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution ...

In these notes we’ll see how Prolog can be used to solve various combinatorial problems. ?- solve_triple1(A, B, C). A = 3, B = 4, C = 5 ; A = 4, B = 3, C = 5 ; A = 6, B = 8, C = 10 ; A = 8, B = 6, C = ...

Traditional computers can stumble when tackling combinatorial optimization problems—tasks of scheduling logistic operations, ...

They employ, respectively, objective and commutative algebraic methods in the study of combinatorial problems. Another field of interest of some Michigan Tech faculty members is partition theory, a ...

The course is intended as an introduction to discrete and combinatorial techniques for solving optimisation problems, mainly involving graphs and networks. Topics covered include: minimum spanning ...

The course is intended as an introduction to discrete and combinatorial techniques for solving optimisation problems, mainly involving graphs and networks. Topics covered include: minimum spanning ...