spectral radius的意思

spectral radius中文翻譯：

[數]譜半徑

相似詞語短語

spectral series───光譜線系列

spectral classes───光譜型

spectral class───光譜型

spectral line───[光]譜線，[光]光譜線

spectral lines───光譜線

spectral types───[天]光譜型

local radios───n.地方電臺

perradius───n.[無脊椎]正輻管

short radius───[數]短半徑

雙語使用場景

Spectral radius is an important global characteristics of an irreducible Markov chain.───譜半徑是不可約馬爾可夫鏈的一個很重要的特征數字。

Estimate for the spectral radius of iterative matrices.───迭代矩陣的譜半徑估計。

Conclusion Norm of operator is very important to estimate the spectral radius of operator.───結論算子范數對于估計有界線性算子乘積與和的譜半徑是至關重要的。

Besides, we get the expression of spectral radius of a class of WR operators and convergent result at the infinite interval case.───此外，我們還給出一類連續波形松弛算子在無限時間區間上的譜半徑表達式和收斂性結果。

Estimate for the Spectral Radius of a Nonnegative Matrices and the Least Eigenvalue of a M-matrices───非負矩陣譜半徑與M矩陣最小特征值的估計

A generalization of Ostrowski's and Brauer's theorems on a class of matrices and the spectral radius of a bipartite tournament matrix───圓盤定理的推廣與二部競賽矩陣譜半徑

Another Upper Bounds on Sum of the Spectral Radius of a Graph and Its Complement───關于圖與其補圖譜半徑之和的又一上界

New Upper Bounds on Sum of the Spectral Radius of a Graph and its Complement───圖與其補圖譜半徑之和的新上界

Upper Bounds on Sun of Spectral Radius of a Graph and its Complement───關于圖與其補圖譜半徑之和的上界

英語使用場景

In this paper,(http://sentencedict.com) we give an estimate of the upper and lower hounds on the spectral radius of a nonnegative matrix and compare the bounds with related those in other literatures.

Conclusion Norm of operator is very important to estimate the spectral radius of operator.

Firstly, we present some sharp upper bounds on the adjacency spectral radius of graphs, and show that these bounds are somewhat better than the known ones.

Estimate for the spectral radius of iterative matrices.

It is proved in this paper that the minimal characterizing number of a matrix is equal to the spectral radius of the corresponding non-negative matrix.

It is well known that, for nonsingular systems where $A$ is invertible, the iterative method converges if and only if the spectral radius of the iteration matrix is strictly less than 1.

By computing the spectral radius of matrix exponent, it is very easy to evaluate the asymptotical stabilization.

In chapter 5, we mainly study the distance spectral radius.

Spectral radius is an important global characteristics of an irreducible Markov chain.