
nom.bdezonia.zorbage.algorithm.ApproxVariance Maven / Gradle / Ivy
/*
* Zorbage: an algebraic data hierarchy for use in numeric processing.
*
* Copyright (c) 2016-2021 Barry DeZonia All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
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* of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice, this
* list of conditions and the following disclaimer in the documentation and/or other
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* be used to endorse or promote products derived from this software without specific
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*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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package nom.bdezonia.zorbage.algorithm;
import nom.bdezonia.zorbage.algebra.Addition;
import nom.bdezonia.zorbage.algebra.Algebra;
import nom.bdezonia.zorbage.algebra.Invertible;
import nom.bdezonia.zorbage.algebra.Multiplication;
import nom.bdezonia.zorbage.algebra.Ordered;
import nom.bdezonia.zorbage.algebra.Unity;
import nom.bdezonia.zorbage.datasource.IndexedDataSource;
/**
*
* @author Barry DeZonia
*
*/
public class ApproxVariance {
// do not instantiate
private ApproxVariance() {}
/**
* ApproxVariance gives an approximate estimate of the variance
* of a list of numbers. It is approximate in the sense that adjustments
* are made to avoid overall data loss at the expense of absolute
* accuracy. If you need absolute accuracy use the {@link Variance}
* algorithm using {@link HighPrecisionMember}s to contain the results.
*
* @param alg
* @param storage
* @param result
*/
public static & Addition & Multiplication & Unity &
Invertible & Ordered, U>
void compute(T alg, IndexedDataSource storage, U result)
{
long storageSize = storage.size();
if (storageSize == 0 || storageSize == 1) {
alg.zero().call(result);
return;
}
U avg = alg.construct();
U sum = alg.construct();
U count = alg.construct();
U one = alg.construct();
alg.unity().call(one);
ApproxSumOfSquaredDeviationsWithCount.compute(alg, storage, avg, sum, count);
alg.subtract().call(count, one, count);
alg.divide().call(sum, count, result);
}
}
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