1)composite score,组合分数2)data decomposition and composition,数据分解与组合3)Differential-Algebraic formula group,微分代数混合方程组4)combined di stributions,组合索赔次数分布5)Differential-Algebraic Equations(DAE),微分-代数混合方程组(DAE)6)multi-group combinatorial numbers,多组组合数
用法例句
In this paper, inter module data paralleling and pipeline processing are presented based on data decomposition and composition, and the result of performance analysis shows these techniques can help to solve the above problems.
提出了基于数据分解与组合的模块间数据并行与流水线处理技术 ,同时进行了性能分析和数值实验 。
On an asymptotic formula of the multi-group combinatorial numbers;
