public static MultiVariatePieceWiseLinearFunction createSenseSleepFunctionVerbose(
ScenarioProperties scenario, List<SensorProperties> sensorProperties) {
NCube domain = createDomain(sensorProperties, scenario);
// max(0, min(x1 + l1, x2 + l2) - max(x1, x2))
MultiVariatePieceWiseLinearFunction zero =
MultiVariatePieceWiseLinearFunctionUtilities.createZeroFunction(domain);
double l = scenario.getScheduleIntervalLength();
StopWatch watch = new StopWatch();
watch.start();
MultiVariatePieceWiseLinearFunction maxStart = createMaxStartFunction(domain);
watch.stop();
System.out.println(
"Created maxStart in "
+ watch.getTime()
+ ". Simplices "
+ maxStart.getPartitioning().getSimplices().size());
watch.reset();
watch.start();
MultiVariatePieceWiseLinearFunction minEnd = createMinEndFunction(domain, sensorProperties);
watch.stop();
System.out.println(
"Created minEnd in "
+ watch.getTime()
+ ". Simplices "
+ minEnd.getPartitioning().getSimplices().size());
watch.reset();
watch.start();
MultiVariatePieceWiseLinearFunction minMinusMax = minEnd.subtract(maxStart);
watch.stop();
System.out.println(
"Created minMinusMax in "
+ watch.getTime()
+ ". Simplices "
+ minMinusMax.getPartitioning().getSimplices().size());
watch.reset();
watch.start();
MultiVariatePieceWiseLinearFunction overlap = minMinusMax.max(zero);
System.out.println(
"Created overlap in "
+ watch.getTime()
+ ". Simplices "
+ overlap.getPartitioning().getSimplices().size());
MultiVariatePieceWiseLinearFunction result = overlap.subtract(l).multiply(-1.0);
System.out.println("Simplices " + result.getPartitioning().getSimplices().size());
return result;
}
private static List<MultiVariatePieceWiseLinearFunction> createStartFunctions(NCube domain) {
List<MultiVariatePieceWiseLinearFunction> result =
new Vector<MultiVariatePieceWiseLinearFunction>();
for (int i = 0; i < domain.getDimensionCount(); i++) {
result.add(MultiVariatePieceWiseLinearFunctionUtilities.createUnivariateFunction(domain, i));
}
return result;
}
public static MultiVariatePieceWiseLinearFunction createSenseSleepFunction(
ScenarioProperties scenario,
List<SensorProperties> sensorProperties,
double overlappingArea) {
System.out.println(
"Creating continuous sense sleep function with " + sensorProperties.size() + " dimensions");
NCube domain = createDomain(sensorProperties, scenario);
if (sensorProperties.size() == 1) {
return MultiVariatePieceWiseLinearFunctionUtilities.createConstantFunction(
domain, overlappingArea * sensorProperties.iterator().next().getSenseIntervalLength());
}
// max(0, min(x1 + l1, x2 + l2) - max(x1, x2))
MultiVariatePieceWiseLinearFunction zero =
MultiVariatePieceWiseLinearFunctionUtilities.createZeroFunction(domain);
// double l = scenario.getScheduleIntervalLength();
MultiVariatePieceWiseLinearFunction maxStart = createMaxStartFunction(domain);
MultiVariatePieceWiseLinearFunction minEnd = createMinEndFunction(domain, sensorProperties);
MultiVariatePieceWiseLinearFunction minMinusMax = minEnd.subtract(maxStart);
MultiVariatePieceWiseLinearFunction overlap = minMinusMax.max(zero);
// MultiVariatePieceWiseLinearFunction result =
// overlap.add(-l).multiply(
// -1.0);
MultiVariatePieceWiseLinearFunction result = overlap;
for (SensorProperties properties : sensorProperties) {
result = result.add(-properties.getSenseIntervalLength());
}
result = result.multiply(-1);
return result.multiply(overlappingArea);
}
