For the input layer, we set x i 0 = α i and e i j 0 = β i j.We implement W 5 ℓ as a separate parameter in order to allow the model to distinguish different directions of edges, since in the context of ...

Linear programming (LP) is a mathematical optimization technique used to achieve the best outcome, such as maximum profit or minimum cost, ...

Abstract. There is a growing technological development in intelligent teaching systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...

Dantzig [3] was the creator of the simplex method for solving linear programming problems. Since then, linear programming has been applied in many fields, in business, transportation, military, etc. .

🔧 Graph algorithms via SuiteSparse:GraphBLAS: Triangle counting and K-truss (HPEC 2018) by Tim Davis; 🛠️ Tze Meng Low et al.'s work on triangle counting: First look: Linear algebra-based triangle ...

Both deterministic and stochastic optimization methods have been used in the literature to solve the resulting Mixed Integer Non-Linear Programming (MINLP) problem. Kantor et al. (2015) formulated the ...

This work describes a MATLAB tool developed in the context of a didactic application toolbox that implements some advanced optimization and decision support methodologies, intended for use by ...