AbstractAn algorithm is presented, which enables us to use the iterative Richardson method for solving a system of linear algebraic'/> Application of the Richardson Method in the Case of an Unknown Lower Bound of the Problem Spectrum
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Application of the Richardson Method in the Case of an Unknown Lower Bound of the Problem Spectrum

机译:Richardson方法在问题谱的未知下限的情况下

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AbstractAn algorithm is presented, which enables us to use the iterative Richardson method for solving a system of linear algebraic equations with the matrix corresponding to a sign-definite selfadjoint operator, in the absence of information about the lower boundary of the spectrum of the problem. The algorithm is based on the simultaneous operation of two competing processes, the effectiveness of which is constantly analyzed. The elements of linear algebra concerning the spectral estimates, which are necessary to understand the details of the Richardson method with the Chebyshev set of parameters, are presented. The method is explained on the example of a one-dimensional equation of the elliptic type.]]>
机译:<![CDATA [<摘要ID =“abs1”语言=“en”> <标题>抽象 ara>播放算法,使我们能够使用迭代的Richardson方法来解决线性代数系统的迭代Richardson方法 与矩阵对应于符号确定的SelfaDafeapoint运算符的等式,在没有关于问题的频谱的较低边界的信息的情况下。 该算法基于两个竞争过程的同时操作,其有效性不断分析。 提出了关于光谱估计的线性代数的元素,这是理解Chebyshev参数集的Richardson方法的细节所必需的。 在椭圆类型的一维方程的示例下解释该方法。 ]]>

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