Random Matrix Theory, Numerical Computation and Applications

نویسندگان

  • Alan Edelman
  • Brian D. Sutton
  • Yuyang Wang
  • YUYANG WANG
چکیده

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 matrix theory.

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تاریخ انتشار 2012