Recently more and more disciplines of science and engineering have found Random Matrix Theory valuable. Some disciplines use the limiting densities to indicate the cutoff between "noise" and "signal." Other disciplines are finding eigenvalue repulsions a compelling model of reality. This survey introduces both the theory behind these applications and MATLAB experiments allowing a reader immediate access to the ideas. Keywords: computational science; dynamic blocking problems; elliptic curves; mathematical modeling; random matrix theor
We give an overview of random matrix theory (RMT) with the objective of highlighting the results and...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...
This paper serves to prove the thesis that a computational trick can open entirely new approaches to...
Random matrix theory is now a big subject with applications in many discip-lines of science, enginee...
Random matrix theory has many roots and many branches in mathematics, statistics, physics, computer ...
The theory of random matrices was introduced by John Wishart (1898–1956) in 1928. The theory was the...
Akemann G, Baik J, Di Francesco P, eds. The Oxford Handbook of Random Matrix Theory. Oxford: Oxford ...
This is a book for absolute beginners. If you have heard about random matrix theory, commonly denote...
With a foreword by Freeman Dyson, the handbook brings together leading mathematicians and physicists...
The most classical problem in random matrix theory is to specify a natural joint distribution for th...
Participants at the workshop ranged over a number of different fields, ranging from theoretical phys...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
Random matrix theory (RMT) is an area of study that has applications in a wide variety of scientific...
The present work studies some aspects of random matrix theory. Its first part is devoted to the asym...
We review the state of the art of the theory of Euclidean random matrices, focusing on the density o...
We give an overview of random matrix theory (RMT) with the objective of highlighting the results and...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...
This paper serves to prove the thesis that a computational trick can open entirely new approaches to...
Random matrix theory is now a big subject with applications in many discip-lines of science, enginee...
Random matrix theory has many roots and many branches in mathematics, statistics, physics, computer ...
The theory of random matrices was introduced by John Wishart (1898–1956) in 1928. The theory was the...
Akemann G, Baik J, Di Francesco P, eds. The Oxford Handbook of Random Matrix Theory. Oxford: Oxford ...
This is a book for absolute beginners. If you have heard about random matrix theory, commonly denote...
With a foreword by Freeman Dyson, the handbook brings together leading mathematicians and physicists...
The most classical problem in random matrix theory is to specify a natural joint distribution for th...
Participants at the workshop ranged over a number of different fields, ranging from theoretical phys...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
Random matrix theory (RMT) is an area of study that has applications in a wide variety of scientific...
The present work studies some aspects of random matrix theory. Its first part is devoted to the asym...
We review the state of the art of the theory of Euclidean random matrices, focusing on the density o...
We give an overview of random matrix theory (RMT) with the objective of highlighting the results and...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...
This paper serves to prove the thesis that a computational trick can open entirely new approaches to...