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- fractional difference quotient 分数次差商
- The relative difference quotient algorithm (RDQA) is introduced and advanced for the optimum design. 优化方法采用相对差商法，并作了若干改进。
- Relative difference quotient algorithm is strong in local search, while genetic algorithm with a parallel operation is highly effective in global search. 相对差商算法局部搜索能力强，而遗传算法具有较强的全局搜索性，发挥两者的优势，提出组合遗传算法。
- A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization. 将相对差商法和混沌优化结合起来,形成求解离散变量桁架结构拓扑优化设计的混合算法。
- The paper studys on difference quotient ratio sequence distribution of order statistics difference about uniform distribution, exponential population and Normal population. 摘要本文研究了均匀分布、指数分布和正态分布的顺序统计量的差商序列概率分布。
- A number that is the tiniest fraction different from another number is still "not equal. 即使一个数字仅在小数部分与另一个数字存在极微小的差异，仍然认为它们是“不相等”的。
- Lastly, the paper presents the fractional differenced noise model and the autoregressive fractional integrated moving average model. 接着给出能描述长记忆性的分数差分噪声模型和分整自回归移动平均模型。
- The forecast formula of ARFIMA model was corrected according to the method of fractional differencing, and was employed in the empirical study. 进一步使用ARFIMA模型预测公式进行预测，结果显示ARFIMA模型预测效果不理想。
- Combinatorial difference quotient method 组合差商法
- a fractional difference in prices 微小的差价.
- combination difference quotient method 组合差商法
- The long-term memory of HongKong Hang Sheng index using MRS analysis was studied, established ARFIMA model for it, and detailed the procedure of fractional differencing. 摘要采用MRS分析法对香港恒生指数周数据序列的长期记忆性进行研究，并建立ARFIMA模型，推导了分数阶差分的计算过程。
- A number that is the tiniest fraction different from another number is still“ not equal. 即使一个数字仅在小数部分与另一个数字存在极微小的差异，仍然认为它们是“不相等”的。
- relative difference quotient algorithm 相对差商法
- arithmetic average difference quotient 算数均差商
- Then the paper presents the fractional differenced noise model and the autoregressive fractional integrated moving average model.It compared traditional time series models with ARFIMA model. 接着介绍了能描述长记忆性的分数差分噪声模型和分整自回归移动平均模型,并将传统时间序列模型和 模型进行比较。
- Whether it rains or not makes no difference to me. 下不下雨对我来说都一样。
- By using nonstandard analysis, we define new generalized functions as discrete functions, and their derivatives are defined as difference quotients. 在非标准分析框架下,用离散函数定义新广义函数,用差商定义其导数。
- The Properties of Generalized Difference Quotient and Applications 一类广义差商及其应用
- Non-central difference quotient convergence and differential 非中心差商收敛性与可微性
