private void GausMethod()
{
Determinant.CreateDetTable(table);
gausTable = Determinant.GetTable;
gausSolution = new double[rowCount];
lineSolution.CopyTo(gausSolution, 0);
HistoryParsing(Determinant.GetHistoryChangeTable);
string ans = "";
for (int i = rowCount - 1; i >= 0; i--)
{
ans = ans.Insert(0, $"\n\t\t{i+1} = {Math.Round(gausSolution[i]/gausTable[i,i])};");
}
answerGaus += ans;
det = Determinant.GetDeterminant;
}
private void KramerMethod()
{
if (det != 0)
{
for (int i = 0; i < rowCount; i++)
{
double[,] tb = (double[, ])table.Clone();
for (int j = 0; j < rowCount; j++)
{
tb[j, i] = lineSolution[j];
}
Determinant.CreateDetTable(tb);
answerKramer += $"\n\t\t{i + 1} = {Math.Round(Determinant.GetDeterminant / det, eps)}; ";
}
}
else
{
throw new Exception("<KramerMethod>\n\tDeterminant is 0");
}
}
//Конструктор для квадратных матриц
public MatrixClass(int _size, double[,] value, double[] _lineSolution = null)
{
rowCount = _size;
columnCount = _size;
size = $"{_size}x{_size}";
if (_lineSolution != null)
{
lineSolution = (double[])_lineSolution.Clone();
}
table = (double[, ])value.Clone();
TranspositionMatrix();
Determinant.CreateDetTable(table);
det = Determinant.GetDeterminant;
if (det != 0)
{
InverseMatrix();
}
}