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In linear programming, a discipline within applied mathematics, a basic solution is any solution of a linear programming problem satisfying certain specified technical conditions. For a polyhedron and a vector , is a basic solution if: # All the equality constraints defining are active at # Of all the constraints that are active at that vector, at least of them must be linearly independent. Note that this also means that at least constraints must be active at that vector. A constraint is ''active'' for a particular solution if it is satisfied at equality for that solution. A basic solution that satisfies all the constraints defining or in other words, one that lies within is called a basic feasible solution. ==References== 〔 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Basic solution (linear programming)」の詳細全文を読む スポンサード リンク
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