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Stochastic Programming - Index of

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BASIC CONCEPTS 71<br />

✷<br />

Example 1.6 Considering the primal program<br />

min c T x<br />

s.t. Ax ≤ b,<br />

x ≥ 0<br />

in its standard form<br />

min c T x<br />

s.t. Ax + Iy = b,<br />

x ≥ 0,<br />

y ≥ 0<br />

would yield the dual program<br />

max b T u<br />

s.t. A T u ≤ c,<br />

u ≤ 0,<br />

or equivalently, with v := −u,<br />

max (−b T v)<br />

s.t. A T v ≥−c,<br />

v ≥ 0.<br />

Therefore we now have the following pair <strong>of</strong> a primal and the corresponding<br />

dual program:<br />

min c T x max (−b T v)<br />

s.t. Ax ≤ b, s.t. A T v ≥−c,<br />

x ≥ 0; v ≥ 0.<br />

✷<br />

Example 1.7 Finally consider the primal program<br />

max g T x<br />

s.t. Dx ≤ f.<br />

This program is <strong>of</strong> the same form as the dual <strong>of</strong> our standard linear<br />

program (7.14) and—using the fact that for any function ϕ defined on some set<br />

M we have sup x∈M ϕ(x) =− inf x∈M {−ϕ(x)}—its standard form is written<br />

as<br />

− min (−g T x + + g T x − )<br />

s.t. Dx + − Dx − + Iy = f,<br />

x + ≥ 0,<br />

x − ≥ 0,<br />

y ≥ 0,

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