First, transaction context switches are quite expensive operations in terms of computation time. 首先,就计算时间而言,事务上下文切换是开销相当大的操作。
Computation time in this method is likely to be spent on the loop. 这个方法循环可能会消耗大量的计算时间。
This approach will work for complex portlets that experience high computation time while calculating their response or request data from a backend, such as from EJB components or a database. 对于在从后端(如EJB组件和数据库)计算其响应和请求数据时计算时间很长的复杂Portlet,此方法非常有用。
Finally, the time in computation could be shortened with same precision or the more precision could be achieved within the same computation time. 最终,能够在同样计算精确度下缩短计算时间或者是同样计算时间下取得更大的计算精确度。
The fast inverse iteration algorithm and sparsity technique are also exploided to reduce the computation time and memory requirement. 在算法上采用快速逆迭代原理并应用稀疏存贮技术有效地节约了机时和内存。
In this thesis, we study on a1D BJT model, which saves the memory size and computation time and verify that the characteristic of1D BJT model is in good agreement with2D BJT model. 本论文主要是研究一个省记忆体空间和省计算时间的一维双载子接面电晶体模型并且验证它与传统二维双载子接面电晶体模型的元件特性是相当接近。
The pixel based process generally requires less computation time than the segmentation based method. 一般而言单点式的处理比区块侦测方法较能节省较多的计算量。
To reduce the computation time of network simulation, a dynamic continuous computing method for the simulation of packet transmission was proposed. 为降低网络模拟的计算开销,提出了数据包转发模拟的动态连续计算方法。
An improved calculation method of reactance of armature reaction is put forward, which need less computation time and have higher accuracy degree. 改进了现有的电枢反应电抗计算方法,使得计算时间更短、算精度更高。
To do this, we needed an insane amount of data and an insane amount of computation time. 为了做到这一点,我们需要数量巨大的数据,所需的计算时间同样十分长。
Which value ( the k value or then value) more rapidly increases the computation time as it grows in size? 哪一个值的计算时间随着它的大小而增长的更快?K值还是N值?
The improved algorithm selects the band width and down sampling ratio with the shortest computation time in accordance with the parameters. 在保证频谱细化要求下,此改进算法可根据参数选择运算量最小的滤波器带宽和选抽比。
The characteristic of this method is that the optimum filtering parameters can be determined only in the frequency domain, so the computation time is decreased. 该方法的特点是,只需在频域就能确定滤波参数,因而节省了大量计算时间。
Experimental results show that VPGA using logistic model population size is more efficient and requires less computation time than other modified GAs which only improve the GA operations. 我们的实验结果表明使用离散逻辑斯蒂模型来控制种群规模的VPGA能够比其他从微观算子上改进的遗传算法更加高效省时。
The optimization quality and computation time of set covering arid tabu search algorithms were analyzed and compared. 分析和比较了集合覆盖和禁忌搜索两种高效布局算法的优化性能和计算时间。
The results of simulation indicate that the proposed approach is consistent with the conventional one, but the computation time is only the4.19% of the conventional method. 仿真计算结果表明:所给出的搜索方法与传统的搜索方法得到的结果一致,且所用时间仅为传统方法的4.19%。
The forecasting and hindcasting show this numerical method can save computation time while having stable prediction results. 预报和后报结果显示该数值方法不仅可以缩短机时,而且可以得到稳定的预报结果。
These two methods can greatly save computation time. 这两种方法都可大大节省计算时间。
Anytime algorithms offer a tradeoff between solution quality and computation time that have proved useful in real-time AI systems. Anytime算法能够折衷解的质量和计算时间,被广泛地用在实时人工智能系统中。
It is shown that the approximation method with sufficient accuracy costs less computation time than the direct integration method. 近似方法与直接积分方法的比较表明近似方法的计算工作量大幅减少,可以给出足够精度的计算结果。
Properly dealing with mutual coupling, the method decreases the computation time and the need of memory capacity greatly. 由于较好地处理了互耦的影响,这种方法极大地节省了计算时间和存贮单元,并使激励源型式具有很大的灵活性。
However, the large computation time restricts its application. 然而,过长的计算时间限制了其应用。
However, DDM costs much memories and computation time and converges slowly. This restricts its applications. 但该方法要耗费大量的内存和计算时间,收敛较慢,这就限制了它的运用。
Meanwhile, in order to reduce computation time, fast estimation method was designed. 同时为了节省计算时间,设计了快速平差方法,通过合适的分组,在不降低定位精度的前提下,提高了计算速度。
For direction finding of single-channel receiver, the computation time has been significantly reduced. 对单通道接收机测向算法而言,运算时间得到了明显的降低。
To shorten the computation time, we propose a center-based nearest neighbor method. 为了缩短运算时间,本文在最近特征线方法的基础上提出了一种称为中心最近邻的模式分类方法。
The improved algorithm improves the efficiency, saves the computation time. 改进后的算法提高了运算效率,节约了运算时间。
This method only requires less computation time and fewer resources than the attestation of the trusted computing group. 与可信计算研究组的证据方案相比,这种方法需要较少的计算时间和更少的资源。
Robustness and algorithm computation time are two problems that must be solved for algorithms 'application in PAC. 算法要想在PAC中得以应用,鲁棒性和算法运算时间是两个必须解决的问题。
The advantage of this method isto save computation time and enhance the efficiency of algorithm. 优点是减少了计算时间和提高了算法的效率。