1) discrete feasible region
可行域离散
2) disjointed feasible domains
可行域分离
1.
Genetic algorithm (GA) is applied to solve two kinds of structural optimization problems with disjointed feasible domains, which include problems of topology optimization for truss structures subject to stress and local buckling constraints and problems with dynamic response constraints.
应用遗传算法求解了两类可行域分离的结构优化问题:局部屈曲约束的桁架拓扑优化问题和动力响应约束优化问题。
3) discrete time domain
离散时域
1.
The paper introduced the system configuration and operation theory,at the same time analyzed dynamic characteristics in discrete time domains and gave the stability condition of system through closed-loop system root locus.
介绍了锁相环的三个环节鉴相器、环路滤波器和压控振荡器的基本构成以及系统的工作原理,并在离散时域内分析了锁相环系统的动态特性,通过闭环系统的根轨迹给出了系统的稳定条件,仿真实验结果表明该锁相环可以很好地跟踪系统频率的变化从而实现相位的锁定。
4) disperse drop field
离散点域
1.
This article discusses fix quantity connection between quaternion non-linearity continuous function △ERR_(dn) and △ERR_(dj) in the reference literature~([1]),and its decisive effect on distributing evolvement disperse drop field in the error ratio function ERR_(100nm%)(λ_(centreT),n),thus paves the way for the function degree of redundancy of Pipelined-Flash A/D.
本文讨论参考文献[1]中两类四元非线性连续函数△ERRdn与△ERRdj之间的定量关系,对误差比率函数ERR100nm%(λcentreT,n)离散点域分布演变所起的决定性作用。
5) time domain discretization
时域离散
6) discrete subfield
离散子域
补充资料：可行
行得通；可以实行：方案切实～。
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