public void BenchmarkAdaptiveInvert()
{
var swf = new Stopwatch();
var swd = new Stopwatch();
var deltas = new List <decimal>();
foreach (var m in testCases)
{
Matrix3x3 testCase = m;
for (int i = 0; i < 10000; i++)
{
FloatMatrix3x3 floatMatrix = MathConverter.Convert(testCase);
FloatMatrix3x3 expected;
swf.Start();
FloatMatrix3x3.AdaptiveInvert(ref floatMatrix, out expected);
swf.Stop();
Matrix3x3 actual;
swd.Start();
Matrix3x3.AdaptiveInvert(ref testCase, out actual);
swd.Stop();
foreach (decimal delta in GetDeltas(expected, actual))
{
deltas.Add(delta);
}
}
}
output.WriteLine("Max error: {0} ({1} times precision)", deltas.Max(), deltas.Max() / Fix64.Precision);
output.WriteLine("Average precision: {0} ({1} times precision)", deltas.Average(), deltas.Average() / Fix64.Precision);
output.WriteLine("Fix64.AdaptiveInvert time = {0}ms, float.AdaptiveInvert time = {1}ms", swf.ElapsedMilliseconds, swd.ElapsedMilliseconds);
}
public void AdaptiveInvert()
{
var maxDelta = 0.001m;
var deltas = new List <decimal>();
// Scalability and edge cases
foreach (var m in testCases)
{
Matrix3x3 testCase = m;
FloatMatrix3x3 floatMatrix = MathConverter.Convert(testCase);
FloatMatrix3x3 expected;
FloatMatrix3x3.AdaptiveInvert(ref floatMatrix, out expected);
Matrix3x3 actual;
Matrix3x3.AdaptiveInvert(ref testCase, out actual);
bool success = true;
foreach (decimal delta in GetDeltas(expected, actual))
{
deltas.Add(delta);
success &= delta <= maxDelta;
}
Assert.True(success, string.Format("Precision: Matrix3x3Invert({0}): Expected {1} Actual {2}", testCase, expected, actual));
}
output.WriteLine("Max error: {0} ({1} times precision)", deltas.Max(), deltas.Max() / Fix64.Precision);
output.WriteLine("Average precision: {0} ({1} times precision)", deltas.Average(), deltas.Average() / Fix64.Precision);
}