public static Vector operator *(Vector v, double multiple)
{
Vector vector = new Vector(v.Size);
for (int index = 0; index < v.Size; index++)
{
vector[index] = multiple * v[index];
}
return vector;
}
private void UpdateDgvResult(src.Vector_.Vector vec)
{
if (this.dgvRightPart.InvokeRequired)
{
this.Invoke(new UpdateDgvResultCallback(UpdateDgvResult), new object[] { vec });
}
else
{
updateDgvResult(vec);
}
}
private void updateDgvInitial(src.Vector_.Vector vec)
{
tabControl1.SelectedIndex = 1;
ClearDgv(dgvInitial);
if (vec.Size > maxDrawSize)
{
dgvInitial.Rows.Add("Vector is too big to draw");
return;
}
for (var i = 0; i < vec.Size; i++)
{
dgvInitial.Rows.Add(vec[i].ToString());
}
}
private void updateDgvRightPart(src.Vector_.Vector vec)
{
tabControl1.SelectedIndex = 0;
ClearDgv(dgvRightPart);
if (vec.Size > maxDrawSize)
{
dgvRightPart.Rows.Add("Vector is too big to draw");
return;
}
for (var i = 0; i < vec.Size; i++)
{
String[] strs = new String[1];
strs[0] = vec[i].ToString();
dgvRightPart.Rows.Add(strs);
}
}
private void updateDgvResult(src.Vector_.Vector vec)
{
tabControl1.SelectedIndex = 2;
ClearDgv(dgvResult);
if (vec == null)
{
return;
}
if (vec.Size > maxDrawSize)
{
dgvResult.Rows.Add("Vector is too big to draw");
return;
}
for (var i = 0; i < vec.Size; i++)
{
dgvResult.Rows.Add(vec[i].ToString());
}
}
public void TestProfileFormatJacobi()
{
int predCoeff = 0;
Vector expectedAnswer = new Vector(dim);
for (int i = 0; i < dim; i++)
expectedAnswer[i] = i + 1;
var matrix = generateProfileMatrix(predCoeff);
var rightPart = generateRightPart(matrix, expectedAnswer);
Jacobi solver = new Jacobi();
EmptyPreconditioner precond = EmptyPreconditioner.Create(matrix);
Vector answer = solver.Solve(precond, rightPart, new Vector(dim), Logger.Instance, Logger.Instance, new JacobiParametrs(eps, maxIter));
Console.Write("Generate complete...\n");
for (int i = 0; i < dim; i++) {
Console.Write(expectedAnswer[i].ToString() + "\t" + answer[i].ToString() + "\n");
Assert.AreEqual(expectedAnswer[i], answer[i], 0.001, "Not equal!");
}
}
public abstract Vector Solve(IPreconditioner matrix, Vector rightPart, Vector initialSolution,
ILogger logger,ISolverLogger solverLogger, ISolverParametrs solverParametrs);
public Vector SSolve(Vector x)
{
return lLTmatrix.LSolve(x, true);
}
public override Vector USolve(Vector x, bool UseDiagonal)
{
if (x.Size != _count)
throw new Exception("Несовпадение длин у операндов USolve");
Vector vector = (Vector)x.Clone();
if (UseDiagonal)
{
for (int row = _count - 1; row >= 0; row--)
{
vector[row] /= _di[row];
int start = row - (_ig[row + 1] - _ig[row]);
for (int column = _ig[row + 1] - 1, index = row - 1; index >= start; column--, index--)
vector[index] -= _au[column] * vector[row];
}
}
else
{
for (int row = _count - 1; row >= 0; row--)
{
int start = row - (_ig[row + 1] - _ig[row]);
for (int column = _ig[row + 1] - 1, index = row - 1; index >= start; column--, index--)
vector[index] -= _au[column] * vector[row];
}
}
return vector;
}
public abstract Vector UtMult(Vector x, bool UseDiagonal);
public override Vector UtSolve(Vector x, bool UseDiagonal)
{
if (n == x.Size)
{
Vector result = (Vector)x.Clone();
if (UseDiagonal)
{
result[0] /= di[0];
// Обработка части al, где есть 0
for (int i = 1; i < bandWidth; i++)// обрабатываем i строку
{
for (int j = bandWidth - i; j < bandWidth; j++)
result[i] -= au[i][j] * result[j + i - bandWidth];
result[i] /= di[i];
}
//Обработка без 0
for (int i = bandWidth; i < n; i++)
{
for (int j = i - bandWidth; j < i; j++)
result[i] -= au[i][j - i + bandWidth] * result[j];
result[i] /= di[i];
}
}
else
{
// Обработка части al, где есть 0
for (int i = 1; i < bandWidth; i++)// обрабатываем i строку
for (int j = bandWidth - i; j < bandWidth; j++)
result[i] -= au[i][j] * result[j + i - bandWidth];
//Обработка без 0
for (int i = bandWidth; i < n; i++)
for (int j = i - bandWidth; j < i; j++)
result[i] -= au[i][j - i + bandWidth] * result[j];
}
return result;
}
else
throw new Exception("Ленточный формат: Несовпадение размерностей матрицы и вектора при обратном (T) ходе");
}
public override Vector USolve(Vector x, bool UseDiagonal)
{
if (n == x.Size)
{
//Vector result = new Vector(n);
// Разобраться с присваиванием, пока обобщенно написано
//result = x;
Vector result = (Vector) x.Clone();
if (UseDiagonal)
{
result[n - 1] /= di[n - 1];
// без 0
for (int i = n - 1; i >= bandWidth; i--)
{
for (int j = bandWidth - 1; j >= 0; j--)
result[i + j - bandWidth] -= au[i][j] * result[i];
result[i - 1] /= di[i - 1];
}
// с 0
for (int i = bandWidth - 1; i > 0; i--)
{
for (int j = bandWidth - 1; j >= bandWidth - i; j--)
result[i + j - bandWidth] -= au[i][j] * result[i];
result[i - 1] /= di[i - 1];
}
}
else
{
// без 0
for (int i = n - 1; i >= bandWidth; i--)
for (int j = bandWidth - 1; j >= 0; j--)
result[i + j - bandWidth] -= au[i][j] * result[i];
// с 0
for (int i = bandWidth - 1; i > 0; i--)
for (int j = bandWidth - 1; j >= bandWidth - i; j--)
result[i + j - bandWidth] -= au[i][j] * result[i];
}
return result;
}
else
throw new Exception("Ленточный формат: Несовпадение размерностей матрицы и вектора при обратном ходе");
}
public static Vector Mult(Vector v1, Vector v2)
{
if (v1.Size == v2.Size)
{
Vector vector = new Vector(v1.Size);
for (int index = 0; index < v1.Size; index++)
{
vector[index] = v1[index] * v2[index];
}
return vector;
}
else
throw new Exception("Несовпадение длин у операндов при умножении векторов");
}
// Возведение каждого элемента вектора в степень -1
public static Vector Inverse(Vector v)
{
Vector vector = new Vector(v.Size);
for (int index = 0; index < v.Size; index++)
{
vector[index] = 1.0 / v[index];
}
return vector;
}
public override Vector Solve(IPreconditioner matrix, Vector rightPart, Vector initialSolution,
ILogger logger, ISolverLogger solverLogger, ISolverParametrs solverParametrs)
{
GMRESParameters GMRESParameters = solverParametrs as GMRESParameters;
if (GMRESParameters != null)
{
Vector[] V, H;
Vector residual, x, d, z, w, tmp;
bool continueCalculations;
double epsilon = GMRESParameters.Epsilon;
int m = GMRESParameters.M;
int maxIterations = GMRESParameters.MaxIterations;
int n = rightPart.Size;
x = initialSolution;
residual = rightPart - matrix.SourceMatrix.Multiply(x);
residual = matrix.SSolve(residual);
double rightPartNorm = matrix.SSolve(rightPart).Norm();
double residualNorm = residual.Norm();
if (System.Double.IsInfinity(residualNorm / rightPartNorm))
{
logger.Error("Residual is infinity. It is impossible to solve this SLAE by GMRES.");
return x;
}
if (System.Double.IsNaN(residualNorm / rightPartNorm))
{
logger.Error("Residual is NaN. It is impossible to solve this SLAE by GMRES.");
return x;
}
x = matrix.QMultiply(initialSolution);
V = new Vector[m];
for (int i = 0; i < m; i++)
V[i] = new Vector(n);
H = new Vector[m];
for (int i = 0; i < m; i++)
H[i] = new Vector(m + 1);
d = new Vector(m + 1);
for (int k = 1; k <= maxIterations && residualNorm / rightPartNorm > epsilon; k++)
{
d.Nullify();
V[0] = residual * (1.0 / residualNorm);
continueCalculations = true;
for (int j = 1; j <= m && continueCalculations; j++)
{
tmp = matrix.QSolve(V[j - 1]);
w = matrix.SSolve(matrix.SourceMatrix.Multiply(tmp));
for (int l = 1; l <= j; l++)
{
H[j - 1][l - 1] = V[l - 1] * w;
w = w - V[l - 1] * H[j - 1][l - 1];
}
H[j - 1][j] = w.Norm();
if (Math.Abs(H[j - 1][j]) < 1e-10)
{
m = j;
continueCalculations = false;
}
else
{
if(j != m)
V[j] = w * (1.0 / H[j - 1][j]);
}
}
d[0] = residualNorm;
z = solveMinSqrProblem(d, H, m);
x = x + multiplyMatrixVector(z, V);
tmp = rightPart - matrix.SourceMatrix.Multiply(matrix.QSolve(x));
residual = matrix.SSolve(tmp);
residualNorm = residual.Norm();
if (System.Double.IsInfinity(residualNorm / rightPartNorm))
{
logger.Error("Residual is infinity. It is impossible to solve this SLAE by GMRES.");
return x;
}
if (System.Double.IsNaN(residualNorm / rightPartNorm))
{
logger.Error("Residual is NaN. It is impossible to solve this SLAE by GMRES.");
return x;
}
solverLogger.AddIterationInfo(k, residualNorm / rightPartNorm);
}
return matrix.QSolve(x);
}
else {
logger.Error("Incorrect " + solverParametrs.GetType().Name.ToString() + " as a SolverParametrs in GMRES");
throw new Exception("Incorrect " + solverParametrs.GetType().Name.ToString() + " as a SolverParametrs in GMRES");
}
}
Vector solveMinSqrProblem(Vector d, Vector[] H, int m)
{
int m2 = H.Length;
Vector result = new Vector(m2);
Vector[] H_previous, H2;
Vector d1, d2;
double ci, si, tmp;
double[] tmp1, tmp2;
tmp1 = new double[m];
tmp2 = new double[m];
double tmp11, tmp22;
H_previous = new Vector[m2];
for (int i = 0; i < m2; i++)
H_previous[i] = H[i];
H2 = new Vector[m];
for (int i = 0; i < m; i++)
H2[i] = new Vector(m);
d1 = d;//размер m2+1
d2 = new Vector(m);
for (int i = 0; i < m; i++)
{
tmp = Math.Sqrt(H_previous[i][i] * H_previous[i][i] +
H[i][i + 1] * H[i][i + 1]);
ci = H_previous[i][i] / tmp;
si = H[i][i + 1] / tmp;
#region H_prev=R*H_prev
//расчитываем заранее элементы строк, где блок синусов-косинусов
for (int l = 0; l < m; l++)
{
tmp1[l] = H_previous[l][i] * ci + H_previous[l][i + 1] * si;
tmp2[l] = -H_previous[l][i] * si + H_previous[l][i + 1] * ci;
}
//заполняем строки,где блок синусов-косинусов
for (int l = 0; l < m; l++)
{
H_previous[l][i] = tmp1[l];
H_previous[l][i + 1] = tmp2[l];
}
#endregion
#region d1=R*d1
//рассчитываем элементы вектора, где блок синусов-косинусов
tmp11 = d1[i] * ci + d1[i + 1] * si;
tmp22 = -d1[i] * si + d1[i + 1] * ci;
//заполняем элементы вектора, где блок синусов-косинусов
//остальные не изменяются
d1[i] = tmp11;
d1[i + 1] = tmp22;
#endregion
}
//исключаем m+1-ю строку и m+1-й элемент
for (int j = 0; j < m; j++)
{
for (int i = 0; i < m; i++)
H2[j][i] = H_previous[j][i];
d2[j] = d1[j];
}
//находим неизвестный вектор из СЛАУ H2*result=d2
for (int i = m - 1; i >= 0; i--)
{
result[i] = d2[i];
for (int j = i + 1; j < m; j++)
{
result[i] -= result[j] * H2[j][i];
}
result[i] = result[i] / H2[i][i];
}
return result;
}
Vector multiplyMatrixVector(Vector vector, Vector[] matrix)
{
int n_lines = matrix[0].Size;
int n_columns = matrix.Length;
Vector result = new Vector(n_lines);
result.Nullify();
if(vector.Size == n_columns)
{
for (int j = 0; j < n_columns; j++)
for (int i = 0; i < n_lines; i++)
result[i] += matrix[j][i] * vector[j];
}
else
throw new Exception("GMRES: Несовпадение длины вектора и числа столбцов матрицы");
return result;
}
public override Vector UtSolve(Vector x, bool UseDiagonal)
{
if (x.Size != _count)
throw new Exception("Несовпадение длин у операндов UtSolve");
Vector vector = new Vector(_count);
if (UseDiagonal)
{
for (int row = 0; row < _count; row++)
{
double sumRow = 0;
int index = row - (_ig[row + 1] - _ig[row]);
for (int column = _ig[row]; index < row; column++, index++)
sumRow += _au[column] * vector[index];
vector[row] = (x[row] - sumRow) / _di[row];
}
}
else
{
for (int row = 0; row < _count; row++)
{
double sumRow = 0;
int index = row - (_ig[row + 1] - _ig[row]);
for (int column = _ig[row]; index < row; column++, index++)
sumRow += _au[column] * vector[index];
vector[row] = x[row] - sumRow;
}
}
return vector;
}
public override Vector UtMult(Vector x, bool UseDiagonal)
{
if (x.Size != _count)
throw new Exception("Несовпадение длин у операндов UtMult");
Vector vector = new Vector(_count);
for (int column = 0; column < _count; column++)
{
int index = _ig[column];
for (int row = column - (_ig[column + 1] - index); row < column; row++, index++)
vector[column] += _au[index] * x[row];
}
if (UseDiagonal)
for (int index = 0; index < _count; index++)
vector[index] += _di[index] * x[index];
return vector;
}
public override Vector TMultiply(Vector x)
{
Vector result = new Vector(n);
result.Nullify();
if (n == x.Size)
{
// Верхний треугольник
// Обработка части au, где есть 0
for (int i = 1; i < bandWidth; i++)// обрабатываем i строку
for (int j = bandWidth - i; j < bandWidth; j++)
result[i] += au[i][j] * x[j + i - bandWidth];
//Обработка без 0
for (int i = bandWidth; i < n; i++)
for (int j = i - bandWidth; j < i; j++)
result[i] += au[i][j - i + bandWidth] * x[j];
//Диагональ
for (int i = 0; i < n; i++)
result[i] += di[i] * x[i];
//Нижний треугольник
for (int j = 0; j < bandWidth; j++)
{
for (int i = bandWidth - j; i < n; i++)
result[i - bandWidth + j] += al[i][j] * x[i];
}
return result;
}
throw new Exception("Ленточный формат: Несовпадение размерностей матрицы и вектора при умножении(T)");
}
public override Vector UMult(Vector x, bool UseDiagonal)
{
if (n == x.Size)
{
Vector result = new Vector(n);
result.Nullify();
for (int j = 0; j < bandWidth; j++)
{
for (int i = bandWidth - j; i < n; i++)
result[i - bandWidth + j] += au[i][j] * x[i];
}
if (UseDiagonal)
{
for (int i = 0; i < n; i++)
result[i] += di[i] * x[i];
}
return result;
}
else
throw new Exception("Ленточный формат: Несовпадение размерностей матрицы и вектора при умножении верхнего треугольника");
}
public object Clone()
{
var vec = _vector.Clone() as double[];
Vector newvec = new Vector(vec);
return newvec;
}
public override Vector UtMult(Vector x, bool UseDiagonal)
{
if (n == x.Size)
{
Vector result = new Vector(n);
result.Nullify();
if (UseDiagonal)
{
result[0] = di[0] * x[0];
// Обработка части al, где есть 0
for (int i = 1; i < bandWidth; i++)// обрабатываем i строку
{
for (int j = bandWidth - i; j < bandWidth; j++)
result[i] += au[i][j] * x[j + i - bandWidth];
result[i] += di[i] * x[i];
}
//Обработка без 0
for (int i = bandWidth; i < n; i++)
{
for (int j = i - bandWidth; j < i; j++)
result[i] += au[i][j - i + bandWidth] * x[j];
result[i] += di[i] * x[i];
}
}
else
{
// Обработка части al, где есть 0
for (int i = 1; i < bandWidth; i++)// обрабатываем i строку
for (int j = bandWidth - i; j < bandWidth; j++)
result[i] += au[i][j] * x[j + i - bandWidth];
//Обработка без 0
for (int i = bandWidth; i < n; i++)
for (int j = i - bandWidth; j < i; j++)
result[i] += au[i][j - i + bandWidth] * x[j];
}
return result;
}
else
throw new Exception("Ленточный формат: Несовпадение размерностей матрицы и вектора при умножении верхнего(T) треугольника");
}
public override Vector Solve(IPreconditioner matrix, Vector rightPart, Vector initialSolution, ILogger logger, ISolverLogger solverLogger, ISolverParametrs solverParametrs)
{
MSGParametrs ConGradParametrs = solverParametrs as MSGParametrs;
if (ConGradParametrs == null)
{
logger.Error("Incorrect " + solverParametrs.GetType().Name.ToString() + " as a SolverParametrs in MSG");
throw new Exception("Incorrect " + solverParametrs.GetType().Name.ToString() + " as a SolverParametrs in MSG");
}
else
{
//prestart
int oIter = 0;
double alpha, beta, oNev, bNev, scalRO, scaleRN;
Vector x = initialSolution, rNew, rOld, z, ap, p;
rOld = rightPart - matrix.SourceMatrix.Multiply(x);
z = matrix.QSolve(matrix.SSolve(rOld));
p = z;
ap = matrix.SourceMatrix.Multiply(p);
bNev = rightPart.Norm();
oNev = rOld.Norm() / bNev;
scalRO = z * rOld;
// x = matrix.QSolve(x);
solverLogger.AddIterationInfo(oIter, oNev);//logger
if (System.Double.IsInfinity(oNev))
{
logger.Error("Residual is infinity. It is impossible to solve this SLAE by MSG.");
return x;
}
if (System.Double.IsNaN(oNev))
{
logger.Error("Residual is NaN. It is impossible to solve this SLAE by MSG.");
return x;
}
while (oIter < ConGradParametrs.MaxIterations && oNev > ConGradParametrs.Epsilon)
{
alpha = scalRO / (ap * p);
x = x + p * alpha;
//if (oIter % 100 == 0)
//rNew = matrix.QMultiply(rightPart - matrix.SMultiply(matrix.SourceMatrix.Multiply(x)));
//else
rNew = rOld - ap * alpha;
z = matrix.QSolve(matrix.SSolve(rNew));
scaleRN = z * rNew;
beta = scaleRN / scalRO;
scalRO = scaleRN;
p = z + p * beta;
ap = matrix.SourceMatrix.Multiply(p);
rOld = rNew;
oIter++;
oNev = rNew.Norm() / bNev;
if (System.Double.IsInfinity(oNev))
{
logger.Error("Residual is infinity. It is impossible to solve this SLAE by MSG.");
return x;
}
if (System.Double.IsNaN(oNev))
{
logger.Error("Residual is NaN. It is impossible to solve this SLAE by MSG.");
return x;
}
solverLogger.AddIterationInfo(oIter, oNev);//logger
}
return x;
}
}
public abstract Vector TMultiply(Vector x);
public override Vector USolve(Vector x, bool UseDiagonal)
{
if (x.Size != n)
throw new Exception("Несовпадение длин у операндов при USolve");
else
{
int i, j;
Vector v;
if (UseDiagonal == true)// Деление на динагональ
{
v = (Vector)x.Clone();// в смысле копирование элементов
for (i = n - 1; i >= 0; i--)
{
v[i] /= di[i];
for (j = ia[i]; j < ia[i + 1]; j++)
v[ja[j]] -= au[j] * v[i];
}
return v;
}
else// Без деления на диагональ
{
v = (Vector)x.Clone();// в смысле копирование элементов
for (i = n - 1; i >= 0; i--)
for (j = ia[i]; j < ia[i + 1]; j++)
v[ja[j]] -= au[j] * v[i];
return v;
}
}
}
public abstract Vector UtSolve(Vector x, bool UseDiagonal);
public override Vector UtSolve(Vector x, bool UseDiagonal)
{
if (x.Size != n)
throw new Exception("Несовпадение длин у операндов при UtSolve");
else
{
int i, j;
double result;
Vector v = new Vector(n);
if (UseDiagonal == true)// Деление на динагональ
{
for (i = 0; i < n; i++)
{
result = 0;
for (j = ia[i]; j < ia[i + 1]; j++)
result += au[j] * v[ja[j]];
v[i] = (x[i] - result) / di[i];
}
return v;
}
else// Без деления на диагональ
{
for (i = 0; i < n; i++)
{
result = 0;
for (j = ia[i]; j < ia[i + 1]; j++)
result += au[j] * v[ja[j]];
v[i] = (x[i] - result);
}
return v;
}
}
}
public override Vector TMultiply(Vector x)
{
if (x.Size != n)
throw new Exception("Несовпадение длин у операндов при TMultiply");
else
{
int i, j;
Vector v = new Vector(n);
for (i = 0; i < n; i++)
{
v[i] = di[i] * x[i];
for (j = ia[i]; j < ia[i + 1]; j++)
{
v[i] += au[j] * x[ja[j]];
v[ja[j]] += al[j] * x[i];
}
}
return v;
}
}
public static Vector operator +(Vector v1, Vector v2)
{
if (v1.Size == v2.Size)
{
Vector vector = new Vector(v1.Size);
for (int index = 0; index < v1.Size; index++)
{
vector[index] = v1[index] + v2[index];
}
return vector;
}
else
throw new Exception("Несовпадение длин у операндов при сложении");
}
public override Vector UtMult(Vector x, bool UseDiagonal)
{
if (x.Size != n)
throw new Exception("Несовпадение длин у операндов при UtMult");
else
{
int i, j;
Vector v = new Vector(n);
if (UseDiagonal == true)// если умножение с диагональю
{
for (i = 0; i < n; i++)
{
v[i] = di[i] * x[i];
for (j = ia[i]; j < ia[i + 1]; j++)
v[i] += au[j] * x[ja[j]];
}
return v;
}
else// если без диагонали
{
for (i = 0; i < n; i++)
for (j = ia[i]; j < ia[i + 1]; j++)
v[i] += au[j] * x[ja[j]];
return v;
}
}
}
public Vector QSolve(Vector x)
{
return lLTmatrix.USolve(x, true);
}
public override Vector Solve(IPreconditioner matrix, Vector rightPart, Vector initialSolution,
ILogger logger, ISolverLogger solverLogger, ISolverParametrs solverParametrs)
{
JacobiParametrs JacParametrs = solverParametrs as JacobiParametrs;
if (JacParametrs != null)
{
Vector x, r, diagonal;
int size, k;
double relativeResidual, w, rightPartNorm;
Vector Db, Dx, Lx, Ux, DULx;
size = initialSolution.Size;
x = new Vector(size);
r = new Vector(size);
diagonal = new Vector(size);
x = initialSolution;
w = JacParametrs.Relaxation;
diagonal = matrix.SourceMatrix.Diagonal;
rightPartNorm = rightPart.Norm();
Dx = Vector.Mult(diagonal, x);
Lx = matrix.SourceMatrix.LMult(x, false);
Ux = matrix.SourceMatrix.UMult(x, false);
r = Lx + Dx + Ux - rightPart;
relativeResidual = r.Norm() / rightPartNorm;
if (System.Double.IsInfinity(relativeResidual))
{
logger.Error("Residual is infinity. It is impossible to solve this SLAE by Jacobi.");
return x;
}
if (System.Double.IsNaN(relativeResidual))
{
logger.Error("Residual is NaN. It is impossible to solve this SLAE by Jacobi.");
return x;
}
Db = Vector.Division(rightPart, diagonal);
solverLogger.AddIterationInfo(0, relativeResidual);
for (k = 1; k <= solverParametrs.MaxIterations && relativeResidual > solverParametrs.Epsilon; k++)
{
DULx = Vector.Division(Ux + Lx, diagonal);
x = (Db - DULx) * w + x * (1 - w);
Dx = Vector.Mult(diagonal, x);
Lx = matrix.SourceMatrix.LMult(x, false);
Ux = matrix.SourceMatrix.UMult(x, false);
r = Lx + Dx + Ux - rightPart;
relativeResidual = r.Norm() / rightPartNorm;
if (System.Double.IsInfinity(relativeResidual))
{
logger.Error("Residual is infinity. It is impossible to solve this SLAE by Jacobi.");
return x;
}
if (System.Double.IsNaN(relativeResidual))
{
logger.Error("Residual is NaN. It is impossible to solve this SLAE by Jacobi.");
return x;
}
solverLogger.AddIterationInfo(k, relativeResidual);
}
return x;
}
else {
logger.Error("Incorrect " + solverParametrs.GetType().Name.ToString() + " as a SolverParametrs in Jacobi");
throw new Exception("Incorrect " + solverParametrs.GetType().Name.ToString() + " as a SolverParametrs in Jacobi");
}
}
public Vector SMultiply(Vector x)
{
return lLTmatrix.LMult(x, true);
}
