public MatrixTypedLong TransponseMatrix()
{
MatrixTypedLong R = new MatrixTypedLong(XLength , YLength);
for (long y = 0; y < YLength; y++)
{
R[y] = this.Column(y);
}
return R;
}
private long DetAux(MatrixTypedLong A, long Aij)
{
long result = 0;
if (A.Dimension.Equals("2x2"))
{
result = ((A[0][0] * A[1][1] ) - (A[0][1] * A[1][0])) * Aij;
}
else
{
for (int x = 0; x < A.XLength; x++)
{
if ((x - 0)%2 == 0)
{
result+= DetAux(A.ComplementaryMinorMatrix(0, x), A[0][x]) * Aij;
}
else
{
result+= -1*DetAux(A.ComplementaryMinorMatrix(0, x), A[0][x]) * Aij;
}
}
}
return result;
}
public MatrixTypedLong ComplementaryMinorMatrix(long xTerm, long yTerm, bool isAdjugate = false)
{
MatrixTypedLong R = new MatrixTypedLong(XLength - 1, YLength -1);
long xAux = 0, yAux = 0;
for (long y = 0; y < YLength; y++)
{
if (yTerm != y)
{
for (long x = 0; x < XLength; x++)
{
if (xTerm != x)
{
if (isAdjugate)
{
R[xAux][yAux] = (xTerm - yTerm) % 2 == 0 ? this[x][y] : this[x][y] * -1;
}
else
{
R[xAux][yAux] = this[x][y];
}
xAux++;
}
}
xAux = 0;
yAux++;
}
}
return R;
}
public MatrixTypedLong AdjugateMatrix()
{
MatrixTypedLong R = new MatrixTypedLong(XLength , YLength);
for (long y = 0; y < YLength; y++)
{
for (long x = 0; x < XLength; x++)
{
R[x][y] = (x - y) % 2 == 0 ? (long)ComplementaryMinorMatrix(x,y).Det() : (long)(ComplementaryMinorMatrix(x,y).Det() * - 1);
}
}
return R;
}
public static MatrixTypedLong operator +(MatrixTypedLong A, long scalar)
{
MatrixTypedLong B = new MatrixTypedLong(A.YLength, A.XLength, scalar);
return A + B;
}
public static MatrixTypedLong operator +(MatrixTypedLong A, MatrixTypedLong B)
{
MatrixTypedLong R = new MatrixTypedLong(A.YLength, A.XLength);
for (long y = 0; y < A.YLength; y++)
{
Action<long[], long[], long[]> act = delegate (long[] valArrayA, long[] valArrayB, long[] valArrayR)
{
for (long x = 0; x < valArrayA.LongLength; x++)
{
valArrayR[x] = valArrayA[x] + valArrayB[x];
}
};
ThreadPoolUtil.Instance.DoAction<long>(act, A[y], B[y], R[y]);
}
ThreadPoolUtil.Instance.WaitAll();
return R;
}
public static MatrixTypedLong operator *(MatrixTypedLong A, MatrixTypedLong B)
{
MatrixExceptionTrigger.CanMultiply(A, B);
MatrixTypedLong R = new MatrixTypedLong(A.YLength, B.XLength);
for (long y = 0; y < A.XLength; y++)
{
for (long Rx = 0; Rx < A.XLength; Rx++)
{
Action<long[], long[], long> act = delegate (long[] valArrayA, long[] valArrayB, long row)
{
for (long x = 0; x < valArrayA.LongLength; x++)
{
for (long Ry = 0; Ry < valArrayB.LongLength; Ry++)
R[row][x] += valArrayA[x] * valArrayB[Ry];
}
};
ThreadPoolUtil.Instance.DoAction<long>(act, A[y], B.Column(Rx), y);
}
}
ThreadPoolUtil.Instance.WaitAll();
return R;
}
