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10 cards from this deck
Decision vars, Constraints, Objective function
Quantities that can be varied in the problem
Limitations on decision variable values, expressed as inequalities
Quantity to be optimised (max or min)
x≥0x \geq 0x≥0, y≥0y \geq 0y≥0 etc. (negative quantities don't make sense)
Set of all points satisfying all constraints simultaneously
Optimal solution occurs at a vertex of feasible region
Solid for ≤\leq≤ or ≥\geq≥, dotted for <<< or >>>
Max: away from origin; Min: toward origin
Shade regions that do NOT satisfy constraints
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