So far many approximate methods have been used to solve the large deflection problems except that only a few exact solutions have been investigated but no strict proof on convergence is presented yet.
迄今为止，除了少数未从数学上严格证明其收敛性的精确解外，大多数均采用近似方法求解。
The parallel processing with two networks are used to improve the network convergence rate and approximate Wiener solution via postprocessing.
采用两个网络并行处理的方法提高了网络收敛速度，通过后续处理逼近维纳解。
Using the comparison method, an approximate approach to the delay-differential equations is proposed in this paper. The proof of its convergence and calculation stability is also given.
本文应用比较方法，提出滞后型泛函微分方程初始问题的近似解法，给出了解的近似迭代序列及其误差估计式，并证明迭代序列的收敛性和计算稳定性。
The object is to introduce a perturbed iteration method for proving the convergence of sequence of Lipschitzian pseudocontractive mapping using approximate fixed point technique.
使用近似不动点技术，采用摄动迭代方法，目的是证明利普希茨伪紧缩映射序列的收敛性。
The neural network trained by projection algorithm with the reference error is used to approximate the desired feedforward compensation. Convergence of the tracking error is proved.
提出一种基于参考误差的投影算法来训练网络权值，训练后网络输出能逼近期望的前馈力矩，并从理论上证明跟踪误差的收敛性。
In this paper, the method by accelerated convergence is applied to the finite element analysis to raise the accuracy of the approximate solutions.
本文将加速收敛外推法应用到有限元计算中，提高了解的精度。
Performances of approaching and approximate error were given for the new smooth function, as well as the study of convergence and the approximation limit of optimum for the new model.
还给出了新光滑函数的逼近性能和精度分析以及新模型的收敛性证明和最优解的逼近上限。
Performances of approaching and approximate error were given for the new smooth function, as well as the study of convergence and the approximation limit of optimum for the new model.
还给出了新光滑函数的逼近性能和精度分析以及新模型的收敛性证明和最优解的逼近上限。
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