[Faculty] Fwd: Novel Computational Methods for Solving High-Dimensional Random Eigenvalue Problems

[Jose Castillo]

DATE:  Friday, September 5th, 2014

TITLE:  Novel Computational Methods for Solving High-Dimensional Random
Eigenvalue Problems

TIME:  3:30 PM

LOCATION:  GMCS 214

SPEAKER:  Dr. Vaibhav Yadav. Department of Aerospace Engineering at San
Diego State University

ABSTRACT:  Random eigenvalue problems (REPs) have far-reaching applications
in fields as diverse as quantum physics, number theory, multivariate
statistics, signal processing and communication, finance, computational
biology and, of course, mechanics. In mechanics, REPs prominently appear in
structural dynamics and structural stability, among others. This
presentation describes three novel, highly efficient computational methods
for solving high-dimensional REPs. Predicated over orthogonal
polynomial-based decomposition, these methods proved to be highly effective
in efficiently countering the challenges of curse-of-dimensionality,
high-nonlinearity and high-input-variability in a REP. Several large and
complex REPs occurring in real world engineering applications that were
successfully tackled by the proposed methods are also illustrated.

HOST:  Dr. Satchi Venkataraman

For future events, please visit our website at:

http://www.csrc.sdsu.edu/colloquium.html



-- 

Jose E. Castillo  Ph.D.

Director / Professor

Computational Science Research Center

5500 Campanile Dr

San Diego State University

San Diego CA 92182-1245

619 5947205/3430, Fax 619-594-2459

 http://www.csrc.sdsu.edu/mimetic-book/

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