By analyzing the discretized density evolution theory and the differential evolution algorithm, a method is proposed to search optimal irregular LDPC code for joint optimization of the system.
在分析和阐述了离散概率密度演化理论和多维线性空间极值问题的基础上，给出了适合于该方案的非正则ldpc码的搜索算法和搜索结果。
A mapping-based dimension-reduction algorithm for probability density evolution analysis of stochastic structural responses is proposed.
提出了随机结构响应密度演化分析的映射降维算法。
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