private void _btnCalc_Click(object sender, EventArgs e)
{
IMatrix matrix = new MathnetMatrixSolver();
Stopwatch stopwatch = new Stopwatch();
string formulaA = _tbAformula.Text, formulaB = _tbBformula.Text;
int columnA = Convert.ToInt32(_tbAcolumn.Text), rowA = Convert.ToInt32(_tbArow.Text);
int columnB = Convert.ToInt32(_tbBcolumn.Text), rowB = Convert.ToInt32(_tbBrow.Text);
bool sparse = _chbSparseA.Checked && _chbSparseB.Checked;
int opp = _cmbbOpperation.SelectedIndex;
Cursor.Current = Cursors.WaitCursor;
stopwatch.Start();
double[,] m = matrix.ParsedSolve(formulaA, formulaB, columnA, rowA, columnB, rowB, sparse, opp);
stopwatch.Stop();
_rtbDialog.Text = "Время вычисления: " + stopwatch.ElapsedMilliseconds.ToString() + "милисекунд\n";
for (int i = 0; i < 5 && i < m.GetLength(0); i++)
{
for (int j = 0; j < 5 && j < m.GetLength(1); j++)
{
_rtbDialog.Text += m[i, j] + " ";
}
_rtbDialog.Text += "\n";
}
Cursor.Current = Cursors.Default;
}
public double[,] ParsedSolve(string formulaA, string formulaB, int columnA, int rowA, int columnB, int rowB, bool sparse, int opperation)
{
SymbolicExpression parsedA = SymbolicExpression.Parse(formulaA);
SymbolicExpression parsedB = SymbolicExpression.Parse(formulaB);
if (parsedA != null && parsedB != null)
{
Stopwatch stopwatch = new Stopwatch();
Matrix <double> mA, mB;
Func <double, double, double> funcA = parsedA.Compile("x", "y");
Func <double, double, double> funcB = parsedB.Compile("x", "y");
IMatrix matrix = new MathnetMatrixSolver();
switch (opperation)
{
case 0:
{
if (!sparse)
{
mA = Matrix <double> .Build.Dense(columnA, rowA, (i, j) => funcA(i, j));
mB = Matrix <double> .Build.Dense(columnB, rowB, (i, j) => funcB(i, j));
return((mA * mB).ToArray());
}
mA = Matrix <double> .Build.Sparse(columnA, rowA, (i, j) => funcA(i, j));
mB = Matrix <double> .Build.Sparse(columnB, rowB, (i, j) => funcB(i, j));
return((mA * mB).ToArray());
}
case 1:
{
if (!sparse)
{
mA = Matrix <double> .Build.Dense(columnA, rowA, (i, j) => funcA(i, j)).Transpose();
return(mA.ToArray());
}
mA = Matrix <double> .Build.Sparse(columnA, rowA, (i, j) => funcA(i, j)).Transpose();
return(mA.ToArray());
}
}
}
double[,] err = { { 0.0 } };
return(err);
}
public void TestLargeMultiply()
{
IMatrix matrix = new MathnetMatrixSolver();
string formulaA = "1", formulaB = "x+y";
int columnA = 100, rowA = 100;
int columnB = 100, rowB = 100;
bool sparse = false;
int opp = 0;
bool testComplete = true;
double[,] m = matrix.ParsedSolve(formulaA, formulaB, columnA, rowA, columnB, rowB, sparse, opp);
for (int i = 0; i < columnA; i++)
{
for (int j = 0; j < rowB; j++)
{
if (m[i, j] != 4950 + j * 100)
{
testComplete = false;
}
}
}
Assert.True(testComplete);
}
public void TestTransponse()
{
IMatrix matrix = new MathnetMatrixSolver();
string formulaA = "x*2", formulaB = "y*3";
int columnA = 100, rowA = 100;
int columnB = 100, rowB = 100;
bool sparse = false;
int opp = 1;
bool testComplete = true;
double[,] m = matrix.ParsedSolve(formulaA, formulaB, columnA, rowA, columnB, rowB, sparse, opp);
for (int i = 0; i < columnA; i++)
{
for (int j = 0; j < rowA; j++)
{
if (m[i, j] != j * 2)
{
testComplete = false;
}
}
}
Assert.True(testComplete);
}