助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   对解的估计 的翻译结果: 查询用时:0.318秒
图标索引 在分类学科中查询
所有学科
更多类别查询

图标索引 历史查询
 

对解的估计
相关语句
  estimation of the solution
     THE EXISTENCE AND ESTIMATION OF THE SOLUTION OF THE ROBIN PROBLEM FOR A CLASS OF nTH ORDER EQUATION
     一类n阶方程Robin问题的存在性定理和对解的估计
短句来源
  “对解的估计”译为未确定词的双语例句
     The error analysis showed that the estimated solution could be exact gradually.
     误差分析表明此方法对解的估计会随着时间推移越来越准确。
短句来源
     Using some new techniques such as accretive operator,etc. ,the asymptotical behavior of the solutions of a class of new type of functional differential equations was studied,the works of Dunkel, Eder, Wang and the author were furtherly generalized,and better results on the estimation of solutions were obtained.
     使用诸如增算子等新方法,研究一类新型泛函微分方程解的基本性态,进一步推广或部分推广Dunkel,Eder,Wang(王克)及作者等人的工作,且对解的估计得到了较好的结果.
短句来源
  相似匹配句对
     An Estimate for Solutions of a Wave Equation
     一个波动方程估计
短句来源
     The difference between numerical solution and actual solution is estimated.
     估计了数值误差。
短句来源
     Discussed is a conjecture on fixed points indices of mappins in cones proposed by E.
     E .
短句来源
     To D.
     D.
短句来源
     b) a G-M estimator of ω'1α, ω'2β and ω'1α+ω'2β under L (Xβ, Aα; δ21V, δ22U} respectively.
     b)G-M估计
短句来源
查询“对解的估计”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  estimation of the solution
We propose a layer method of solving the Cauchy problem with simultaneous estimation of the solution gradient, which is based on the probabilistic representation of the solution.
      
Using the theory of differential ineaqality, the existence of solution to the problem is proved and the asymptotic estimation of the solution is obtained.
      
In addition, the asymptotic estimation of the solution is given as well.
      
In this paper, we first consider the singularly perturbed boundary value problem for the fourth-order elliptic differential equation, establish the priori estimation of the solution of the continuous problem.
      
On Maximal Inner Estimation of the Solution Sets of Linear Systems with Interval Parameters
      
更多          


Using some new techniques such as accretive operator,etc.,the asymptotical behavior of the solutions of a class of new type of functional differential equations was studied,the works of Dunkel, Eder, Wang and the author were furtherly generalized,and better results on the estimation of solutions were obtained.

使用诸如增算子等新方法,研究一类新型泛函微分方程解的基本性态,进一步推广或部分推广Dunkel,Eder,Wang(王克)及作者等人的工作,且对解的估计得到了较好的结果.

This paper presents a new strategy to solve non-linear inverse problem. Firstly the MAPmethod in the Bayes theory is used to construct a linearized iterative algorithm. The idea of global convergence in simulated annealing algorithm is applied to guide the convergence process of iteration. Meanwhile the global convergence of iterative solution estimate is further guaranteed by adding random purturbation in solution estimate according to its convergence situation. In conventional linearized iterative inversion...

This paper presents a new strategy to solve non-linear inverse problem. Firstly the MAPmethod in the Bayes theory is used to construct a linearized iterative algorithm. The idea of global convergence in simulated annealing algorithm is applied to guide the convergence process of iteration. Meanwhile the global convergence of iterative solution estimate is further guaranteed by adding random purturbation in solution estimate according to its convergence situation. In conventional linearized iterative inversion methoods, a good initial solution estimate is needed, or else the iteration may easily fall into a pitof locally optimal solution. The new strategy overcomes this drawback, and spends less computationalamount than the simulated annealing algorithm. It is adaptive specially to the non-linear inverse problemwith little priori information.The effect of linearized error on iterative solution estimate is discussed deeply through comparing theinversion strategy with the non-linear damped least-square methed. On the basis of this, the authars putforward viewpoints about the selection of damping factor, the trend of iterative solution estimate, andthe locally optimal solution estimation.

本文提出了一种解非线性反演问题的新策略。它首先利用贝叶斯反演理论中的MAP方法建立非线性反演问题的线性化迭代格式,然后运用模拟退火算法中有关全局收敛的思想来指导迭代的收敛过程,同时还在迭代中根据迭代解估计的收敛性态对解估计加入随机扰动来进一步保证迭代解估计的全局收敛性。这种新的非线性反演策略不仅能克服常规线性化迭代反演方法(如非线性阻尼最小二乘法)要求初始解估计好,否则易陷入局部最优解估计“陷阱”的缺点,而且较模拟退火算法又具有计算量小的优点,是一种比较好的解非线性反演问题的策略。尤其适用于先验知识较少的非线性反演问题,具有很强的普适性。与常规的非线性阻尼最小二乘法比较,本文提出的反演策略深入讨论了线性化误差对迭代解估计的作用。并在此基础上,不仅对阻尼因子在迭代中的取值提出了一种新方案,而且对迭代解估计在迭代中的走向和局部最优解估计提出了一些新认识。

A lot of numerical simulations indicate that both SVD and LSQRD are very effectively applied to inversion of surface wave dispersion. Using SVD method through resolution matrix,information matrix and covariance matrix,the solutions can be evaluated mathematically, objectively and effectively, while LSQRD is more useful to solve a large sized sparse linear system because if has high efficiency in computation and strong noise abatement and needs small store spaces, so that SVD algorithm should be adopted in inversion...

A lot of numerical simulations indicate that both SVD and LSQRD are very effectively applied to inversion of surface wave dispersion. Using SVD method through resolution matrix,information matrix and covariance matrix,the solutions can be evaluated mathematically, objectively and effectively, while LSQRD is more useful to solve a large sized sparse linear system because if has high efficiency in computation and strong noise abatement and needs small store spaces, so that SVD algorithm should be adopted in inversion of linear system under fast computations and big store spaces of present computers if the quantity of data is not too large.

大量的数值模拟表明 ,SVD和 LSQRD在面波频散网格反演两步法中的应用效果都很好。但 SVD可以用分辨矩阵、信息矩阵和协方差矩阵对解估计进行数学上客观有效的评价 ;而对于大型稀疏方程组的求解 ,LSQRD确是一种内存需求小、计算速度快以及分辨抗噪能力都较强的算法。在现有计算机运算速度较快、内存可以扩充较大的条件下 ,实测数据量不很大时 ,应采用 SVD算法进行线性反演。

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关对解的估计的内容
在知识搜索中查有关对解的估计的内容
在数字搜索中查有关对解的估计的内容
在概念知识元中查有关对解的估计的内容
在学术趋势中查有关对解的估计的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社