Linear Programming and Game Theory 1 (AQA A-Level Further Maths): Flashcards

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Constrained Optimisation
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DeCO mnemonic in LP

Decision vars, Constraints, Objective function

Decision variables in LP

Quantities that can be varied in the problem

Constraints in LP

Limitations on decision variable values, expressed as inequalities

Objective function in LP

Quantity to be optimised (max or min)

Non-negativity constraints

x0x \geq 0, y0y \geq 0 etc. (negative quantities don't make sense)

Feasible region

Set of all points satisfying all constraints simultaneously

Vertex Victory principle

Optimal solution occurs at a vertex of feasible region

Solid vs dotted boundary lines

Solid for \leq or \geq, dotted for << or >>

Objective line direction for max vs min

Max: away from origin; Min: toward origin

Shade out technique

Shade regions that do NOT satisfy constraints

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