Add to ORKGAbstract. This paper serves to prove the thesis that a computational trick can open entirely new approaches to theory. We illustrate by describing such random matrix techniques as the stochastic operator approach, the method of ghosts and shadows, and the method of “Riccatti Diffusion/Sturm Sequences,” giving new insights into the deeper mathematics underneath random matri
Important advances in the understanding of random processes have produced a variety of stochastic ...
Stochastic geometry is a relatively new branch of mathematics. Although its predecessors such as geo...
This book explores the remarkable connections between two domains that, a priori, seem unrelated: Ra...
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 ...
Participants at the workshop ranged over a number of different fields, ranging from theoretical phys...
This is a book for absolute beginners. If you have heard about random matrix theory, commonly denote...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Akemann G, Baik J, Di Francesco P, eds. The Oxford Handbook of Random Matrix Theory. Oxford: Oxford ...
We review the development of random-matrix theory (RMT) during the last decade. We emphasize both th...
With a foreword by Freeman Dyson, the handbook brings together leading mathematicians and physicists...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
This book presents a unified theory of random matrices for applications in machine learning, offerin...
The first graduate-level textbook to focus on fundamental aspects of numerical methods for stochasti...
Important advances in the understanding of random processes have produced a variety of stochastic ...
Stochastic geometry is a relatively new branch of mathematics. Although its predecessors such as geo...
This book explores the remarkable connections between two domains that, a priori, seem unrelated: Ra...
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 ...
Participants at the workshop ranged over a number of different fields, ranging from theoretical phys...
This is a book for absolute beginners. If you have heard about random matrix theory, commonly denote...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Akemann G, Baik J, Di Francesco P, eds. The Oxford Handbook of Random Matrix Theory. Oxford: Oxford ...
We review the development of random-matrix theory (RMT) during the last decade. We emphasize both th...
With a foreword by Freeman Dyson, the handbook brings together leading mathematicians and physicists...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
This book presents a unified theory of random matrices for applications in machine learning, offerin...
The first graduate-level textbook to focus on fundamental aspects of numerical methods for stochasti...
Important advances in the understanding of random processes have produced a variety of stochastic ...
Stochastic geometry is a relatively new branch of mathematics. Although its predecessors such as geo...
This book explores the remarkable connections between two domains that, a priori, seem unrelated: Ra...