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Use the rolling variance calculation from http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#On-line_algorithm as whatever one is in here currently was getting out of whack in biteme

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git-svn-id: svn+ssh://src.earth.threerings.net/narya/trunk@6017 542714f4-19e9-0310-aa3c-eee0fc999fb1
This commit is contained in:
Charlie Groves
2010-01-22 02:46:06 +00:00
parent 1926012bc5
commit d86971592a
1 changed files with 8 additions and 13 deletions
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src/java/com/threerings/util/MethodProfiler.java
+8 -13
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@@ -331,17 +331,12 @@ public class MethodProfiler
*/
public void addSample (double time)
{
if (_numSamples == 0) {
_numSamples = 1;
_average = time;
_variance = 0;
return;
}
_numSamples = _numSamples + 1;
double oldAverage = _average;
_average += (time - _average) / _numSamples;
double baseVariance = time - oldAverage;
_variance += (_numSamples - 1) * baseVariance * baseVariance / _numSamples;
// From http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#On-line_algorithm
_numSamples++;
double deltaToOld = time - _average;
_average += deltaToOld / _numSamples;
double deltaToNew = time - _average;
_varianceSum += deltaToOld * deltaToNew;
}
/**
@@ -349,12 +344,12 @@ public class MethodProfiler
*/
public Result toResult ()
{
return new Result(_numSamples, _average, Math.sqrt(_variance / _numSamples));
return new Result(_numSamples, _average, Math.sqrt(_varianceSum / _numSamples));
}
protected int _numSamples;
protected double _average;
protected double _variance;
protected double _varianceSum;
}
/**