# 1. Draw an x1-x2 plane and select the set of points satisfying the non-negative constraints x1 >= 0 and x2 >= 0. # 2. Draw all constraints as lines on the x1-x2 plane, and identify the common ...

Task description should provide enough information for other members to understand what was updated or changed, e.g., fixing bugs, adding features, refactoring code. After that, use the git push ...

An example of the quadratic assignment problem (QAP) is the facility location problem, in which n facilities are assigned, at minimum cost, to n sites. Between each pair of facilities, there is a ...

We propose a new decomposition method for large-scale linear programming. This method dualizes an (arbitrary) subset of the constraints and then maximizes the resulting dual functional by dual ascent.

Abstract: The applications of linear programming with fuzzy constraint coefficients are numerous and various over the past years. This paper proposes a new approach, a modified two-stage differential ...

Abstract: The Branch-and-Bound(B&B) algorithm is an effective method for solving the Mixed Integer Linear Programming (MILP) problem. Its performance significantly impacts the overall performance of ...