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local convergence theorem中文是什么意思

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用"local convergence theorem"造句"local convergence theorem"怎么读"local convergence theorem" in a sentence

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  • 局部收敛定理

例句与用法

  • The local convergence theorem is important because it shows the property of the iterative method near the solution , but the shortcoming is that its codition depends on the unknown solution
    局部收敛性定理固然很重要,因为它不仅提供了一个关于收敛性的结果,而且还表征着某些迭代过程在一个解的邻域内的理论性态。
  • It is proven that these modified dual algorithms still have the same convergence results as those of the conceptional dual algorithms in chapter 2 and chapter 3 . secondly , a dual algorithm is constructed for general constrained nonlinear programming problems and the local convergence theorem is established accordingly . the condition number of modified lagrange function ' s hessian is estimated , which also depends on the penalty parameter
    证明这些修正的对偶算法仍具有同前两章的概念性对偶算法相同的收敛性结果,我们还进一步构造了一般约束非线性规划问题的对偶算法,建立了相应的局部收敛理论,最后估计了修正lagrange函数的hesse阵的条件数,它同样依赖于罚参数。
  • In the nineteenth century , when researchers began to pay attention to the analysis strictness in mathematics , cauchy put forward major series technique , which was confirmed highly effective in applying it to the convergence analysis of iterations . there are three kinds of convergence theorems which related to iterative method , a ) local convergence theorem , b ) semilocal convergence theorem , c ) global convergence theorem
    对于迭代法收敛性的研究,数值工作者们做了大量的工作(见文后的参考文献) ,但我们知道与迭代过程相关的收敛性定理通常有三种类型: a )局部的; b )半局部的; c )全局的或整体的收敛性定理。
  • Chapter 2 establishes the theoretical framework of a class of dual algorithms for solving nonlinear optimization problems with inequality constraints . we prove , under some mild assumptions , the local convergence theorem for this class of dual algorithms and present the error bound for approximate solutions . the modified barrier function methods of polyak ( 1992 ) and the augmented lagrange function method of bertsekas ( 1982 ) are verified to be the special cases of the class of dual algorithms
    第2章建立求解不等式约束优化问题的一类对偶算法的理论框架,在适当的假设条件下,证明了该类算法的局部收敛性质,并给出近似解的误差界,验证了polyak ( 1992 )的修正障碍函数算法以及bertsekas ( 1982 )的增广lagrange函数算法都是这类算法的特例。
用"local convergence theorem"造句  
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