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We shall discuss the distribution of extreme eigenvalues for several classes of random matrices with independent entries.
Their efficiency is shown on solving both the classes of random test problems and some practical engineering tasks.
We define, in the frame of an abstract Wiener space, the notions of convexity and of concavity for the equivalence classes of random variables.
We introduce certain classes of random point fields, including fermion and boson point processes, which are associated with Fredholm determinants of certain integral operators and study some of their basic properties: limit theorems, correlation functions, Palm measures etc.
Random operator theory is needed for the study of various classes of random equations.
Similar results have been derived for different classes of random sensing matrices.
Similar(34)
A new class of random multiplicative and statistically self-similar measures is defned on IR.
High Entropy Alloys (HEAs) are a new class of random alloys having impressive strength and toughness.
In this paper, a class of random vibro-impact systems is studied.
Stochastic structure for non-uniform quantization errors is studied for a wide class of random variables.
In the present paper, we determine the spectral eigenvalues of a class of random convolution on R.
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