Necessary and Sufficient Conditions of Unacceptable Solutions in LP Discriminant Analysis*
针对线性规划判别模型中的不可接受解问题，给出了多种模型下不可接受解的必要与充分条件，并讨论了这些条件的实际意义及其与多重解的关系。
ABSTRACT Characterization of unacceptable solutions for linear programming (LP) discriminant models have been discussed in the literature and the results presented so far are not satisfactory. This paper establishes necessary and sufficient conditions of unacceptable solutions for a number of LP models, addresses the practical implications of these conditions, and discusses the relationship between unacceptable solutions and multiple solutions.