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Math.cpp
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Math.cpp
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/*******************************************************************************
* Copyright (c) 1991, 2015 IBM Corp. and others
*
* This program and the accompanying materials are made available under
* the terms of the Eclipse Public License 2.0 which accompanies this
* distribution and is available at https://www.eclipse.org/legal/epl-2.0/
* or the Apache License, Version 2.0 which accompanies this distribution and
* is available at https://www.apache.org/licenses/LICENSE-2.0.
*
* This Source Code may also be made available under the following
* Secondary Licenses when the conditions for such availability set
* forth in the Eclipse Public License, v. 2.0 are satisfied: GNU
* General Public License, version 2 with the GNU Classpath
* Exception [1] and GNU General Public License, version 2 with the
* OpenJDK Assembly Exception [2].
*
* [1] https://www.gnu.org/software/classpath/license.html
* [2] http://openjdk.java.net/legal/assembly-exception.html
*
* SPDX-License-Identifier: EPL-2.0 OR Apache-2.0 OR GPL-2.0 WITH Classpath-exception-2.0 OR LicenseRef-GPL-2.0 WITH Assembly-exception
*******************************************************************************/
#include "Math.hpp"
/**
* Subtract subtrahend from minuend if the result will be positive. Zero otherwise.
* @param minuend - the larger value
* @param subtrahend - the smaller value
* @return the difference between minuend and subtrahend, or zero if minuend is not larger than subtrahend
*/
uintptr_t
MM_Math::saturatingSubtract(uintptr_t minuend, uintptr_t subtrahend)
{
uintptr_t result = 0;
if (minuend > subtrahend) {
result = minuend - subtrahend;
}
return result;
}
/**
* Return the weighted average through combining the new value to the current value.
* @return the weighted average of the combined parameters.
*/
float
MM_Math::weightedAverage(float currentAverage, float newValue, float weight)
{
return ((currentAverage) * weight) + ((newValue) * ((float)1.0 - weight));
}
/**
* Return the weighted average through combining the new value to the current value.
* @return the weighted average of the combined parameters.
*/
double
MM_Math::weightedAverage(double currentAverage, double newValue, double weight)
{
return ((currentAverage) * weight) + ((newValue) * ((double)1.0 - weight));
}