![Random-matrix theory for the Lindblad master equation: Chaos: An Interdisciplinary Journal of Nonlinear Science: Vol 31, No 2 Random-matrix theory for the Lindblad master equation: Chaos: An Interdisciplinary Journal of Nonlinear Science: Vol 31, No 2](https://aip.scitation.org/action/showOpenGraphArticleImage?doi=10.1063/5.0033486&id=images/medium/5.0033486.figures.online.highlight_f1.jpg)
Random-matrix theory for the Lindblad master equation: Chaos: An Interdisciplinary Journal of Nonlinear Science: Vol 31, No 2
![SOLVED: Let X= (X,Xz X3) be a Gaussian random vector having the following mean / and variance-covariance matrix Ax cov(X,XT) : 0.01 0.015 -0.0125 p = (0.1,0.1,-0.2) Ax 0.015 0.04 0.0175 L-0.0125 - SOLVED: Let X= (X,Xz X3) be a Gaussian random vector having the following mean / and variance-covariance matrix Ax cov(X,XT) : 0.01 0.015 -0.0125 p = (0.1,0.1,-0.2) Ax 0.015 0.04 0.0175 L-0.0125 -](https://cdn.numerade.com/ask_images/d1a9fc0fdc5c415e93775f06f31cf283.jpg)
SOLVED: Let X= (X,Xz X3) be a Gaussian random vector having the following mean / and variance-covariance matrix Ax cov(X,XT) : 0.01 0.015 -0.0125 p = (0.1,0.1,-0.2) Ax 0.015 0.04 0.0175 L-0.0125 -
![How to generate a large full-rank random correlation matrix with some strong correlations present? - Cross Validated How to generate a large full-rank random correlation matrix with some strong correlations present? - Cross Validated](https://i.stack.imgur.com/7wsln.png)
How to generate a large full-rank random correlation matrix with some strong correlations present? - Cross Validated
![random number generator - Enumerating the bias of NIST and Pearson randomness extractors - Cryptography Stack Exchange random number generator - Enumerating the bias of NIST and Pearson randomness extractors - Cryptography Stack Exchange](https://i.stack.imgur.com/f5DKW.png)