Abstract: Let a ⊕ b = max(a, b) and a ⊗ b = a + b for a, b ∈ ℝ. Extend this pair of operations to matrices and vectors in the same way as in linear algebra. Being motivated by scheduling of ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

Constraint Programming (CP) has been successful in a number of combinatorial search and discrete optimisation problems. Yet other more traditional approaches, such as Integer Programming (IP), can ...

Abstract: The aim of this paper is to introduce a new recurrent neural network to solve linear programming. The main characteristic of the proposed scheme is its design based on the predefined-time ...