/// <summary>
/// Implements <see cref="ICompensatedSum.Clone()"/>.
/// </summary>
public ICompensatedSum Clone()
{
var clone = new KahanSum();
clone._sum = _sum;
clone._kc = _kc;
return(clone);
}
public TrainingSample(TSample s, int index, float weight, float actual)
{
Sample = s;
Weight = weight;
Actual = actual;
Index = index;
_confidenceP = new KahanSum();
_confidenceN = new KahanSum();
}
public void ZeroSumTest()
{
KahanSum sum = new KahanSum();
for (int i = 0; i < 10; i++)
{
sum.Add(0.0);
}
Assert.Equal(0.0, sum.Sum);
}
public void SumTest()
{
KahanSum sum = new KahanSum();
for (int i = 0; i < 100; i++)
{
sum.Add(i);
}
Assert.Equal(4950.0, sum.Sum);
}
/// <summary>
/// Create the object which uses custom implementation for random generators.
/// </summary>
/// <param name="UniformGen"> Object, which implements <see cref="IContUniformGen"/> interface. </param>
/// <param name="NormalGen"> Object, which implements <see cref="INormalGen"/> interface. </param>
/// <exception cref="ArgumentNullException">
/// If <paramref name="NormalGen"/> or <paramref name="UniformGen"/> is null.
/// </exception>
public BBBCOptimizer(IContUniformGen UniformGen, INormalGen NormalGen)
{
if (NormalGen == null)
{
throw new ArgumentNullException(nameof(NormalGen));
}
_uniformRand = UniformGen ?? throw new ArgumentNullException(nameof(UniformGen));
_normalRand = NormalGen;
_denumKahanSum = new KahanSum();
}
public void SumResetTest()
{
KahanSum sum = new KahanSum();
sum.Add(-1);
sum.Add(-2);
sum.Add(-3);
sum.SumResest();
sum.Add(1);
sum.Add(2);
Assert.Equal(3.0, sum.Sum);
}
/// <summary>
/// Create the object which uses custom implementation for random generators.
/// </summary>
/// <param name="UniformGen">
/// Object, which implements <see cref="IContUniformGen"/> interface.
/// </param>
/// <param name="NormalGen"> Object, which implements <see cref="INormalGen"/> interface. </param>
/// <exception cref="ArgumentNullException">
/// If <paramref name="NormalGen"/> or <paramref name="UniformGen"/> is null.
/// </exception>
public BaseFW(IContUniformGen UniformGen, INormalGen NormalGen)
{
if (UniformGen == null)
{
throw new ArgumentNullException(nameof(UniformGen));
}
if (NormalGen == null)
{
throw new ArgumentNullException(nameof(NormalGen));
}
_uniformRand = UniformGen;
_normalRand = NormalGen;
_distKahanSum = new KahanSum();
_denumForProbKahanSum = new KahanSum();
}
public MOControlTask(int N, double LowerBound, double UpperBound, double TMax, double x10, double x20, double lambda1, double lambda2, double lambda3, double lambad4)
{
if (N < 2)
{
throw new ArgumentException($"{nameof(N)} must be greater than 1.", nameof(N));
}
if (LowerBound >= UpperBound)
{
throw new ArgumentException($"{nameof(LowerBound)} must be less than {nameof(UpperBound)}");
}
if (TMax <= 0)
{
throw new ArgumentException($"{nameof(TMax)} must be greater than 0.");
}
_lowerBounds = Enumerable.Repeat(LowerBound, N * 2).ToArray();
_upperBounds = Enumerable.Repeat(UpperBound, N * 2).ToArray();
_lambda1 = lambda1;
_lambda2 = lambda2;
_lambda3 = lambda3;
_lambda4 = lambad4;
_nSwitch = N;
_step = (double)TMax / _nSwitch;
_Tmax = TMax;
_valueofT = new double[_nSwitch + 1];
for (int i = 0; i < _valueofT.Length; i++)
{
_valueofT[i] = i * _step;
}
_ode = new TargetODE(x10, x20, _Tmax, _valueofT);
_targetValues = new double[OBJ_COUNT];
_sum = new KahanSum();
}
public void Sub(KahanSum sum)
{
Add(sum.m_carry);
Sub(sum.m_sum);
}
public void Add(KahanSum sum)
{
Sub(sum.m_carry);
Add(sum.m_sum);
}
public ControlTaskI2(int N, double LowerBound, double UpperBound, double TMax, double x10, double x20, double LambdaLower, double LambdaUpper) : base(N, LowerBound, UpperBound, TMax, x10, x20, LambdaLower, LambdaUpper)
{
_sum = new KahanSum();
}
