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\centerline{\bf STANFORD UNIVERSITY}
\centerline{\bf DEPARTMENT OF STATISTICS}
\centerline{\bf MONTE CARLO MARKOV CHAINS IN SCIENTIFIC COMPUTING}
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\centerline{3:15 p.m., Thursday, October 26, 2000}
\centerline{Sequoia Hall Rm. 200}

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\centerline{\sl Persi Diaconis}
\centerline{\sl Department of Statistics}
\centerline{\sl Stanford University}
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\centerline{\bf The Hit and Run Algorithm and Its Variations}
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Smith's hit and run algorithm attempts to move great distances. I will
review basics, a host of variations and recent work of Lovrsz giving good
rates of convergence.

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