public override void ScaleOffset(NArray <double> a, double scale, double offset, NArray <double> result)
{
double[] aArray, resultArray;
int aStart, resultStart;
GetArray(a, out aArray, out aStart);
GetArray(result, out resultArray, out resultStart);
IntelMathKernelLibrary.ConstantAddMultiply(aArray, aStart, scale, offset, resultArray, resultStart, result.Length);
}
public override void ScaleInverse(NArray <double> a, double scale, NArray <double> result)
{
double[] aArray, resultArray;
int aStart, resultStart;
GetArray(a, out aArray, out aStart);
GetArray(result, out resultArray, out resultStart);
VectorOperation(a, result, IntelMathKernelLibrary.Inverse);
IntelMathKernelLibrary.ConstantAddMultiply(resultArray, resultStart, scale, 0, resultArray, resultStart, result.Length);
}
public override void SortInPlace(NArray a)
{
IntelMathKernelLibrary.SortInPlace(GetManagedStorage <double>(a));
}
public override void EigenvalueDecomposition(NArray a, NArray eigenvectors, NArray eigenvalues)
{
IntelMathKernelLibrary.EigenvalueDecomposition(GetManagedStorage <double>(a),
GetManagedStorage <double>(eigenvectors), GetManagedStorage <double>(eigenvalues));
}
public override void CholeskyDecomposition(NArray a)
{
bool positiveSemiDefinite = true;
IntelMathKernelLibrary.CholeskyDecomposition(GetManagedStorage <double>(a), out positiveSemiDefinite);
}
public override void MatrixMultiply(NArray a, NArray b, NArray c)
{
IntelMathKernelLibrary.MatrixMultiply(GetManagedStorage <double>(a), GetManagedStorage <double>(b),
GetManagedStorage <double>(c));
}
public override double Dot(NArray a, NArray b)
{
Assertions.AssertVectorsOfEqualLength(a, b);
return(IntelMathKernelLibrary.Dot(GetManagedStorage <double>(a), GetManagedStorage <double>(b)));
}
