优化问题的二阶充分条件是研究灵敏度分析的基础,支持向量机是数据挖掘的新方法。针对线性支持向量分类机优化问题,研究了其解的二阶充分条件,给出了二阶充分条件成立的假设条件。研究表明。该假设条件很弱,用支持向量机算法求解实际问题时,通常假定这一条件成立,特别地,对线性可分支持向量分类机优化问题.其解一定满足这一条件,满足二阶充分条件成为当然成立的事实。
A second-order-sufficient-condition is one of basis for sensitivity analysis of optimization problems. A hypothesis to ensure the tenability of a second-order-sufficient-condition of a linear support vector classifier is presented in the paper, which is a weak one for the solution of a linearly separable support vector classifier must meet it. In addition, the problem of a linear support vector classifier is solved under such a hypothesis.