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 ...

I've always been a fan of pot pie. Why have a chicken breast, a side of mixed vegetables, and pie for dessert when you can just cram them all into one neat little package? Besides, if I eat pot pie ...

G raphical programming isn't new. Yet significant improvements in visual architecture, development-tool user interfaces, and compilation to hardware and software targets have moved graphical ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

In linear programming problems, as in most economic problems, the input data are often uncertain. So we haven't finished when we've obtained the optimal solution; we still need to ask, how would this ...

The problem of applying Generalized Lagrange Multipliers (GLM) to 0-1 integer programming problems is investigated. It is shown that GLM can produce optimal solutions if and only if these solutions ...

Given any cubic or quartic equation with real coefficients, it can be transformed by a change of variable into a standard form, and thus solved by means of a double-sided scale (Fig. 1) in the case of ...