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 ...

Linear regression is an algorithm used to visualize a relation-ship between two variables, a dependent variable, and an inde-pendent variable. The independent variable stands by itself and isn’t ...

The Journal of the Operational Research Society, Vol. 41, No. 4 (Apr., 1990), pp. 291-297 (7 pages) The Hitchcock transportation problem is perhaps one of the `most solved' linear programming problems ...

The goal of this assignment is to create a simple AI model for linear regression using the Rust programming language and the burn library. The model should predict the output of the function y = 2x + ...

Roth, A. E., U. G. Rothblum, and J. H. Vande Vate. "Stable Matchings, Optimal Assignments, and Linear Programming." Mathematics of Operations Research 18, no. 4 ...

A George Mason University (GMU) model could help the intelligence, surveillance and reconnaissance (ISR) community gauge which assets are more valuable than others. Models address the complex problem ...

Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as unit ...

Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints. Results derived from GP models are usually very ...