random matrix造句
例句與造句
- In the random matrix theory , the 1 - level correlation functions
在隨機(jī)矩陣?yán)碚撝校?1 -級(jí)相關(guān)函數(shù) - Identify the core random matrix question that needs to be solved to tackle the generalization
識(shí)別隨機(jī)矩陣核心問(wèn)題，解決它們以處理一般性問(wèn)題。 - Mention what other generalizations of the random matrix problem are interesting but not discussed
提及其它有趣的但沒(méi)被提到的隨機(jī)矩陣的一般化問(wèn)題。 - This course is an introduction to the basics of random matrix theory , motivated by engineering and scientific applications
這門(mén)課是為了工程和科學(xué)應(yīng)用，是一門(mén)介紹隨機(jī)矩陣?yán)碚摶A(chǔ)的課程。 - The topics represented are by no means exhaustive but are meant to be indicative of the work done by researchers in diverse communities involving random matrix theory
這些課題不能說(shuō)是完全無(wú)遺漏的，但可以看到各領(lǐng)域的研究人員用隨機(jī)矩陣論所做的工作。 - It's difficult to find random matrix in a sentence. 用random matrix造句挺難的
- To expose the statistical properties of the degenerated spectrum , with the aid of the random matrix theory , a possible form of the nns distribution function of the degenerate spectrum was proposed by providing a solution in terms of the same - degeneracy case
利用隨機(jī)矩陣?yán)碚?，通過(guò)對(duì)一特殊情形的簡(jiǎn)并譜展開(kāi)研究，得到了簡(jiǎn)并譜一種可能的最小相鄰間距nns分布函數(shù)。 - To expose the statistical properties of the degenerated spectrum , with the aid of the random matrix theory , a possible form of the nns distribution function of the degenerate spectrum was proposed by providing a solution in terms of the same - degeneracy case
摘要利用隨機(jī)矩陣?yán)碚?，通過(guò)對(duì)一特殊情形的簡(jiǎn)并譜展開(kāi)研究，得到了簡(jiǎn)并譜一種可能的最小相鄰間距nns分布函數(shù)。 - It is has been known that the energy spectra statistic of a chaotic system agrees with wigner distribution which is achieved from random matrix theory and the one of a integrable system is poisson distribution achieved originally from the irregular spectra
一個(gè)經(jīng)典混沌系統(tǒng)的量子能譜統(tǒng)計(jì)分布滿足由隨機(jī)矩陣?yán)碚撍鶎?dǎo)出的winger分布，而可積系統(tǒng)滿足無(wú)規(guī)能譜的統(tǒng)計(jì)分布即泊松分布。 - On the strength of the square loss function , this part also defines the vector loss function and matrix loss function , and discusses the bayesian risk decision solutions about random vector parameter and random matrix parameter under these loss functions respectively . secondly , the bayesian inference theory about single equation model is explored
在單參數(shù)平方損失函數(shù)的基礎(chǔ)上，定義了向量損失函數(shù)，利用向量化算子vec定義了矩陣損失函數(shù)，并討論了這兩類損失函數(shù)下隨機(jī)向量參數(shù)和隨機(jī)矩陣參數(shù)的貝葉斯風(fēng)險(xiǎn)決策解。 - Chapter 5 is focused on the studies on the equivalent conditions for maximum value convergence of sums of independent random matrix sequences , and the sufficiency condition of the strong consistency of m estimator of regression parametric in linear model for negatively associate samples , thus enriching and strengthening the results of a series of papers
第五章得到了獨(dú)立陣列和（含加權(quán)和）的最大值完全收斂的等價(jià)條件，從而豐富和強(qiáng)化了前人的一系列結(jié)果獲得了負(fù)相關(guān)樣本線性模型中回歸參數(shù)m估計(jì)是強(qiáng)相合的較弱的充分條件