阶步

初论断层擦痕和阶步的运用

A preliminary discussion on the application of fault slickensides and fault steps

因为考虑了中间产物的生成，使用了经验动力学模式函数，经验二步连续反应模型比单步全局模型及n阶二步连续反应模型拟合实验数据要好得多。

Because the formation of intermediate matter has been considered , thanks to the application of empirical kinetic model mechanism functions , the empirical model is much more suitable for fitting test data than the single-step global model or the n-order dual-step model .

在第二部分，我们研究了一类两步Runge-Kutta方法的代数稳定性，并提出了几类代数稳定的高阶两步Runge-Kutta方法。

In the second part , we study the algebraic stability of a class of the two-step Runge - Kutta methods . We also present several classes of high order two-step Runge - Kutta methods with algebraic stability .

然后，本文分析了使用基于Laguerre多项式的阶数步进法（MOO，marching-on-in-order），它在求解时域电场积分方程时，可以将时间变量从中分离出来。

Secondly , by the marching-on-in-order ( MOO ) algorithm with Laguerre polynomials , time domain electric field integral equation can be solved without the time variables .

概括起来主要有四方面：采用三阶六步课堂结构模式；

There are four sides : adopting class mode of three stages and six steps ;

K步K阶线性多步公式集及几乎A稳定的线性多步公式

The set of k-step order k linear multistep formulas and nearly A-stable linear multistep formulas

三种格式都是二阶、二步、分量形式（componentwise）的用于计算双曲守恒率方程组的数值格式。

All of them are second order , two-step , component-wise schemes for hyperbolic conservative equations .

觉慧一个人在阶上闲步。

Chueh-hui stood on the steps of the building .

船舶航向的神经网络二阶导数多步预测模糊自适应控制

A neural network 2-rank derivative predictive fuzzy adaptive control method of ship course

混沌时间序列的局域高阶Volterra滤波器多步预测模型

Local higher-order Volterra filter multi-step prediction model of chaotic time series

基于二阶统计量的两步自适应盲分离算法

Adaptive Blind Source Separation Algorithm by Second-Order Statistics

还过大石露了出来，人们可以像登台阶似的一步一步地爬上顶端。

The huge stones are exposed and you can climb them , like steps , to the top .

该算法与传统的基于二阶矩的两步均衡算法相比，计算简单，精度高。

The algorithm has less computation process and higher computation precision than the traditional blind equalization method based on second-order statistics .

在相空间重构基础上形成了多种负荷时间序列的预测方法，常用的加权一阶局域法一步预测模型进行多步预测时计算量大且会产生累积误差。

Based on the phase space reconstruction , many load time series forecasting methods were established . The common used add-weighted one-rank local-region method ( AOLM ) is a single-step model , and it will result in large computational quantity and cumulative error for multi-steps forecasting .

本文对显式k步k阶和隐式k步k+1阶线性多步方法的最优选择问题作了进一步探讨。

In this paper , a further investigation of the optimal choice for linear k-step k-order explicit methods and k-step k + 1-order implicit ones is made .