| 1. | The procedure for solving the eqs is called back substitution .
解方程组的这一步骤叫回代。 |
| 2. | If i took , can i go back to x ' s and y ' s ？
如果我得到了，我能够回代到x和y中去么？ |
| 3. | A two - piece update algorithm with nonmonotonic backtracking technique for constrained optimization
约束优化的两块校正非单调回代法 |
| 4. | Test all the samples with the equation in the computer , the accordance ratio fulfilled the planned and statistical requirements
将全部样本进行计算机方程回代检验，达到了设计与统计学要求。 |
| 5. | We also propose an affine scaling trust region interior point algorithm via double dogleg path for nonlinear optimization subject to bounds on variables
本文又提供了一种基于双折线路径的非单调信赖域内点回代法，求解变量有界的约束优化问题。 |
| 6. | Nocedal and yuan suggested a combination of the trust region and line search method for unconstrained optimization . this mixed technique is called backtraking
Nocedal和yuan提出了信赖域与线搜索两种技术相结合的方法，称为回代法( backtracking ) 。 |
| 7. | Then a topo arithmetic for 400v radiate distribution network is put forward base on practicality course , and put forward forward - back power flow algorithm for 400v distribution network
其次根据配电网络实际运行情况提出了适用于400伏辐射状配电网络的拓扑算法，并详细介绍了用于400伏的前代回代潮流计算方法。 |
| 8. | Content : on the problem of multi - groups discrimination , the correct rates of back substitution of existing discriminate methods may be good for some data , yet it is not the case for another data . furthermore we ca n ' t evaluate the results of the discriminations
<中文摘要> =在多个总体的判别问题中，已有的判别方法的判别回代率不太“稳定” ，即对有些数据判别结果可能会好些，而对另外一些数据则不然。 |
| 9. | This paper presents a three - phase harmonic power flow algorithm using phase components and back - forward sweep method to solve the disconvergence when the three - phase transformer harmonic model was used . the example result presented the method was feasible and
本文针对在进行三相谐波潮流算法时因引入三相变压器谐波模型而可能导致计算结果不收敛问题，提出了谐波潮流计算的相分量法，其中引用了前推-回代法。 |
| 10. | Otherwise , the trust region radius is reduced and a new trial point is selected . it is possible that the region subproblem need to be resolved many times before obtaining an acceptable step , and hence the total computation for completing one iteration might be expensive . this article combines approximate trust region path and nonmonotonic backtracking strategy to solve nonlinear optimization subject to linear inequality constraints , that is , we use approximate trust region path to get the research direction by minimuming quadratical model in the trust region by employing
本文在求解线性不等式约束优化问题时，将近似信赖域路径与非单调信赖域方法相结合，即在信赖域半径内沿近似信赖域路径得到一极小化二次模型的搜索方向后采用回代法避免重复求解信赖域子问题，在此算法中当搜索方向不被接受时，就用非单调线搜索技术得到接受步长，定义新的迭代点。 |
