It proceeds by breaking concepts down into their necessary and sufficient conditions for application.
这个方法的开展,是借助于把概念拆分成恰当使用这个概念的必要条件和充分条件.
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Four necessary and sufficient conditions for Hermitian matrix were obtained by using similar real symmetry matrix.
本文用类似于实对称矩阵的研究方法,得到了Hermite矩阵的4个等价条件.
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Finally, optimality necessary and sufficient conditions for nonlinear convex semidefinite programming are proved.
并给出了非线性半定规划的最优性必要和充分条件.
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We can call this standard approach the method of necessary and sufficient conditions.
我们将把真正标准的路数叫做“必要条件与充分条件方法”.
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So we cannot expect to find necessary and sufficient conditions for an interesting topic.
所以,我们不能期望为有趣的论题找到必需和充分的条件.
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