网络一代将必须收敛一部分他们的预期,按照这个世界本来的面目,而不是他们所期望的面目面对世界。
Net Geners will certainly have to temper some of their expectations and take the world as it is, not as they would like it to be.
在不同的时间下,不同尺寸的颗粒会撞击壁面不同的位置,但主要集中在壳体与喷管的相接部分和喷管的收敛段。
At different time, particles with different sizes can hit different locations on the wall, which are mainly at the connective part of shell and nozzle and out the convergent section of nozzle.
第二部分是在一致收敛条件下函数列、函数项级数以及含参量反常积分的性质。
The second part is in uniform convergence conditions function series, function and parameter improper integral. We properties.
第二部分是经济增长收敛的理论分析。
The second part is the theoretical analysis of economic growth convergence.
相比于部分解耦辨识算法,该算法的优点在于它能够在全噪声数据环境下得到更高的收敛速度和精度。
The advantage of the presented algorithm is that it possesses higher convergence speed and precision than the partly decoupled identification algorithm under a complete noise data environment.
首先,通过对再生核的研究,给出了小波级数的部分和在跳跃间断点处的收敛性与再生核之间的关系的等价命题。
First, by studying the producing kernel, equivalent positions of the relation between the convergence of partial sums of wavelet expansions at jumping points and producing kernel are given.
该算法与部分解耦的RLS自适应算法相比,显著提高了辨识过程的收敛速度和精度。
The algorithm can remarkably improve the convergence speed and precision of the identification process compared with the partially decoupled RLS adaptive identification algorithm.
女性也许能改善决策的一部分原因是,她们会收敛男性对过分自信与冒险的偏好。
Women may improve decision-making partly because they rein in a male penchant for overconfidence and risk-taking.
通过选择合适的控制增益,即可在系统的其它部分仍存在振荡的情况下,可以消除谐波干扰,使系统的输出趋于收敛,达到稳定。
By properly choosing the control gains, the output tends to a standstill while the other parts of the system oscillate in such a way as to counteract the harmonic disturbance.
然后,在线部分采用超代遗传算法(HGGA)优化输入量化因子和输出比例因子,缩短算法运行时间,加快收敛速度。
In the on-line part, the quantization factors and the proportion factor are optimized by the hyper generation GA(HGGA)for reducing the computation time.
本文通过引入局部增强算子,使种群中的部分个体在当前最优个体附近寻优,以加快算法的收敛速度。
To improve the efficiency of the algorithm, the local enhanced operator is proposed to make some individuals of the population search around the current best individual.
在模型的部分不确定上界未知时修改了控制器,并得出全局渐近收敛的结果。
Moreover, when the upper bounds of some uncertainties are unknown, the control is revised to guarantee globally asymptotical stabilization.
第三部分,利用辅助原理研究了广义集值非线性混合似变分不等式的解的存在性,收敛性及算法的稳定性。
In the last section, we introduce and study a class of variational-like inequalities by applying the auxiliary principle technique.
同时,给出了新的部分波形收敛算法和潜等算法,加速了波形的收敛速度。
Both new waveform convergence algorithm and latency algorithm are introduced to accelerate the rate of waveform convergence.
通过仿真表明,DLMS算法以牺牲部分收敛速度为代价,可获得高速并行处理能力。
By analyzing and comparing, the simulation results show that DLMS algorithm is sacrifice some of the cost of convergence rate getting high-speed parallel processing capabilities.
数值微分和积分部分将有较深入讨论,并强调误差和收敛性分析。
Numerical differentiation and integration is covered in depth, with particular emphasis on the error and convergence analysis.
讨论了利用部分路段的调查交通量,来推算OD表的可行性,并提出了减小收敛域的一种新方法。
Using the traffic investigated in some parts of road, the feasibility of estimate of OD table was studied.
给出含部分已定值变量的线性方程组的行处理法迭代解法,并分析算法的收敛性。
This paper puts forward the row action method to solve a system of linear equations with partial determinate variables, and analyses the convergence of this method.
新算法只用更新一少部分的系数,因此它的收敛速度加快了,计算量大大减小了。
Because of fewer coefficients updated in the new algorithm, the convergence speed increases and the computational effort decreases significantly.
本论文分三部分:第一部分提出了一般网络(有禁行和无禁行)的一种新的表示法及其相应的广义性最短路树算法,并给出了这种算法的收敛性证明。
There are three parts in this thesis: In the first part, we give a new kind of representation of network with or without movement prohibitions, and a new shortest-route-tree algorithm is presented.
对各部分改进的原因和优点进行了分析,给出了算法的主要步骤,并对自适应免疫进化规划的收敛性进行了说明。
The analysis of reasons and merits for improved part were proposed. The main steps of the algorithm were given and the convergence of adaptive immune evolutionary programming were formulated.
侧重于收敛的速率和整体、局部分析。
We lay particular emphasis on analysis of global and local convergence and rate of convergence.
侧重于收敛的速率和整体、局部分析。
We lay particular emphasis on analysis of global and local convergence and rate of convergence.
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