A linear programming (LP) model was proposed to create de-identified data sets that maximally include spatial detail (e.g., geocodes such as ZIP or postal codes ...

$$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad & \langle c, x \rangle \\ \text{s.t.} \quad & L \leq A x \leq U, \\ & l \leq x \leq u . \end{array ...

The compressibility of natural gas allows the use of line pack to compensate for fluctuations of gas demand. On the basis of forecast consumption, a linear-programming model can yield a plan for ...

Abstract: Large-scale sparse linear programming (LP) underpins critical applications in logistics, manufacturing, and scientific computing. However, conventional CPU-only solvers often fail to meet ...

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 ...