逢甲學報, Band 36逢甲大學, 1999 |
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Ergebnisse 1-3 von 16
Seite 38
... problem it begins by solving a subsidiary problem consisting of the original objective function subject to only one constraint chosen to guarantee that this initial problem has a bounded solution . At each subsequent iteration of the ...
... problem it begins by solving a subsidiary problem consisting of the original objective function subject to only one constraint chosen to guarantee that this initial problem has a bounded solution . At each subsequent iteration of the ...
Seite 39
... problem to be solved is Maximize subject to Z = c1x arx sbr X ≥ 0 , which is a bounded problem . It follows that in Step 3 below the dual simplex algorithm yields an optimal solution for each new subsidiary problem . ac Step 0. Compute ...
... problem to be solved is Maximize subject to Z = c1x arx sbr X ≥ 0 , which is a bounded problem . It follows that in Step 3 below the dual simplex algorithm yields an optimal solution for each new subsidiary problem . ac Step 0. Compute ...
Seite 41
... problem can be shown to cycle [ 12 ] , if the variable with the smallest subscript is chosen arbitrarily to leave the basis in case of ties . The cosine algorithm solves this problem with no cycling to obtain the optimal solution of z ...
... problem can be shown to cycle [ 12 ] , if the variable with the smallest subscript is chosen arbitrarily to leave the basis in case of ties . The cosine algorithm solves this problem with no cycling to obtain the optimal solution of z ...