Difference between revisions of "Documentation:Monte Carlo Equilibration"
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<math>\frac{\partial S}{\partial \beta_0 } = 0 </math> , <math>\frac{\partial S}{\partial \beta_1 } = 0 </math> : | <math>\frac{\partial S}{\partial \beta_0 } = 0 </math> , <math>\frac{\partial S}{\partial \beta_1 } = 0 </math> : | ||
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+ | <math> | ||
+ | \left( | ||
+ | \begin{array}{cc} | ||
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+ | 1 & 2 | ||
+ | \end{array} | ||
+ | \right) | ||
+ | </math> |
Revision as of 11:58, 9 September 2013
Monte Carlo equilibration
Theory
We have a timeseries of N measurements obtained from a Monte Carlo simulation, i.e. .
Suppose (s.t.
) is the least-squares best fitted line, we attempt to minimize
w.r.t.
and
.
,
:
Failed to parse (Missing <code>texvc</code> executable. Please see math/README to configure.): \left( \begin{array}{cc} \centering 1 & 2 \end{array} \right)