1) Hamming predictor-corrector method
Hamming预测-校正法
1.
And improve the localtruncation error of the Hamming predictor-corrector method.
本文利用线性多步法中的预测-校正方法研究一阶常微分方程初值问题的数值解,探讨了利用Hamming预测-校正法求解此初值问题的绝对误差,并对Hamming方法的局部截断误差作了一定的改进。
2) predictor-corrector method
预示校正法,预测校正法;预测-校正方法
4) forecast-correction integration
预测校正积分法
5) Predictor-corrector method
预测-校正方法
1.
The nonlinear and non-ideal(involving the diffusion) chromatography process is simulated with the predictor-corrector method and the results are compared with the finite analysis method and the Galerkin method.
用预测-校正方法,模拟了非线性含扩散的色谱过程,并与有限分析法及Galerkin方法作了比较。
2.
Using this equivalence relation,a new three-steps iterative algorithms is proposed for variational inequalities,which include the known two-steps iterative algorithms as special case,and modified the rapidity of convergence with the third-step iteration scheme by predictor-corrector method.
该算法包含了现有的两步迭代算法,并通过预测-校正方法建立了第三步迭代公式,加快了算法的收敛速度;在适当条件下证明了该算法的收敛性,所得结论改进了该领域内的一些最新结果。
6) predictor-corrector interior point method
预测-校正内点法
1.
A new method,which combines the adaptive immune algorithm(AIA) with predictor-corrector interior point method,was presented for the reactive power optimization of power system.
针对电力系统无功优化问题,将自适应免疫算法(adaptive immune algorithm,AIA)和预测-校正内点法相结合,提出了一种新的混合优化算法。
2.
Based on predictor-corrector interior point method (PCIPM) and improved genetic algorithm (IGA), a combination strategy for reactive power optimization is proposed, which divides reactive power optimization problem into two sub-problems, i.
提出了一种求解无功优化问题的组合策略,该策略将无功优化问题分解为连续优化和离散优化2个子问题,分别用预测-校正内点法和改进遗传算法进行求解。
补充资料:发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
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