次优的的英文

• suboptimal

• "次"英文翻译    order; sequence
• "优"英文翻译    excellent; fine; good; outst ...
• "的"英文翻译    4次方是 The fourth power of 2 i ...
• "次优" 英文翻译 :    second best; suboptimum
• "优的" 英文翻译 :    high; major
• "次优化" 英文翻译 :    suboptimization; suboptimize; sumoptimization
• "次优性" 英文翻译 :    suboptimality
• "较优的" 英文翻译 :    better
• "特优的" 英文翻译 :    extra-
• "择优的" 英文翻译 :    preferred
• "最优的" 英文翻译 :    most excellent; optimalizing; optimum; synergic; top
• "差中最优的" 英文翻译 :    least-worst
• "次优等贷款" 英文翻译 :    sub-prime loans
• "次优化方法" 英文翻译 :    secondrate optimization method
• "次优化界限" 英文翻译 :    suboptimality bound
• "次优级生丝" 英文翻译 :    cla ical silk; classical silk
• "次优势木" 英文翻译 :    subdominant tree
• "次优系统" 英文翻译 :    suboptimal system
• "次优性指数" 英文翻译 :    index of suboptimality
• "次最优的" 英文翻译 :    suboptimal
• "较好的，优的" 英文翻译 :    superior
• "联结次优性" 英文翻译 :    connective suboptimality
• "女优的告白" 英文翻译 :    confessions among actresses
• "时间最优的" 英文翻译 :    time optimal
• "实质优的" 英文翻译 :    singed cat

• Firstly , we analyze third party logistics in the condition of the simple game , a suboptimal nash equilibrium is drawn by negative reasoning and no win - win trade appears
  首先分析一次博弈下的第三方物流，通过逆向推理求解出一个次优的纳什均衡，双赢的交易未能发生。
• Then it is applied to a multi - step model predictive controller in optimal control fashion . frequency , time domain analysis and simulation shows that the system is feasible
  时域分析表明，对于二次型性能指标来说，该预测控制器是次优的，我们并提出了计算二次型性能指标的公式。
• But this result is not the best result relative to bayes error or risk . this paper introduces a face recognition method based on pairwise weighted fisher criteria
  但是这个“尽可能好的’ ’分类结果对于它所对应的准则函数来说是最优的，但是相对于错误率或风险而言，它只是次优的。
• Tokyo ( ap ) ? it ' s still beyond the reach of science to predict exactly when an earthquake will strike , but japan will soon get the next - best thing ? televised warnings that come before anyone feels the ground shake
  东京（美联社） ? ?现在，在地震发生之前作出精确的预报还是超出当前的科学之外的，但日本将很快取得次优的东西? ?一个在人们有震感之前通过电视进行预警的系统。
• Taking attributed scattering center - based classification as example , the computation of feature likelihood function under many - many and 1 - 1 correspondence are studied , by using the algorithm of bipartite graph perfect matching to find the optimal 1 - 1 correspondence , the computation efficiency is improved greatly , the relations of likelihood function between 1 - 1 and many - many correspondence are analyzed , and two sub - optimal methods of calculating the likelihood function of 1 - 1 correspondence are presented
  本章以基于属性散射中心特征的分类为例，深入研究了多?多对应和1 ? 1对应特征似然函数的计算，通过将求解二分图最佳匹配的算法用于寻找特征之间的最优1 ? 1对应关系，有效提高了1 ? 1对应特征似然函数的计算效率，分析了1 ? 1对应和多?多对应特征似然函数之间的关系，给出了两种次优的1 ? 1对应特征似然函数计算方法。