Sparse Symmetric Random Matrices

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A collaboration between group members prof. Reimer Kuehn and Dr. Perez Castillo and international collaborators also led to a breakthrough in the spectral problem for sparse symmetric random matrices, allowing to efficiently compute spectral densities of such systems in the limit of large matrix size to any desired accuracy – more than 20 years after a solution to this problem was first attempted.

The KCL Disordered Systems Group
The KCL Disordered Systems Group
Department of Mathematics

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