Exemplo n.º 1
0
 // vres =v1+cv2;
 public static Interface.IVector Add(Interface.IVector v1, Interface.IVector v2, double c)
 {
     Vector result = new Vector(v1.Size);
     for (int i = 0; i < v2.Size; i++)
     {
         v1[i] += v2[i] * c;
     }
     return result;
 }
Exemplo n.º 2
0
        public void ReadFromFile(out IMatrix A, out Vector b, out Vector x_init)
        {
            //          Не хватает проверки path
            using (System.IO.StreamReader file = new System.IO.StreamReader(path))
            {
                var st = file.ReadToEnd().Replace('.',',').Split(new char[] { '\n', ' ', '\t', '\r' },
                StringSplitOptions.RemoveEmptyEntries);
                int n, m;
                if (!int.TryParse(st[0], out n))
                    throw new Exception("Bad file format");
                n = int.Parse(st[0]);

                int[] ia = new int[n + 1];

                double[] d = new double[n];
                double[] rightPart = new double[n];
                double[] x0 = new double[n];
                long offset = 1;

                for (int i = 0; i < n + 1; i++, offset++)
                    ia[i] = int.Parse(st[offset]);
                m = ia[n] - 1;
                int[] ja = new int[m];
                double[] al = new double[m];
                double[] au = new double[m];
                for (int i = 0; i < m; i++, offset++)
                    ja[i] = int.Parse(st[offset]);
                if (ia[0] != 0)
                {
                    for (int i = 0; i < n + 1; i++)
                        ia[i]--;

                    for (int i = 0; i < m; i++)
                        ja[i]--;
                }

                for (int i = 0; i < m; i++,offset++)
                    al[i] = double.Parse(st[offset]);

                for (int i = 0; i < m; i++, offset++)
                    au[i] = double.Parse(st[offset]);

                for (int i = 0; i < n; i++,offset++)
                    d[i] = double.Parse(st[offset]);

                for (int i = 0; i <  n; i++,offset++)
                    rightPart[i] = double.Parse(st[offset]);

                for (int i = 0; i < n; i++, offset++)
                    x0[i] = double.Parse(st[offset]);

                A = new RowColumnSparseMatrix(n, ia, ja, al, au, d);
                b = new Vector(rightPart);
                x_init = new Vector(x0);
            }
        }
Exemplo n.º 3
0
 public CoordinateMatrix(int _size, int[] _iaddr, int[] _jaddr, double[] _elem)
 {
     size = _size;
     iaddr = _iaddr;
     jaddr = _jaddr;
     elem = _elem;
     di = new Vector(size);
     for (int j = 0; j < size; j++ )
         for (int i = 0; i < elem.Length; i++)
         {
             if (iaddr[i] == jaddr[i]) di[j] = elem[i];
         }
 }
Exemplo n.º 4
0
Arquivo: LOS.cs Projeto: SLAEPM23/SLAE
        public override IVector Solve(IMatrix A, IVector b, IVector x0)
        {
            IVector result = new Vector(b.Size);
            IVector r = new Vector(b.Size);
            IVector p = new Vector(b.Size);
            IVector z = new Vector(b.Size);
            double alpha, betta;
            double p_scal;

            r.Equalize(b);
            result.Equalize(x0);
            r.Add(MatrixAssistant.multMatrixVector(A, result), -1);
            z.Equalize(r);
            p.Equalize(MatrixAssistant.multMatrixVector(A, z));
            p_scal = VectorAssistant.multVector(p, p);
            residual = VectorAssistant.multVector(r, r);
            residual = Math.Sqrt(VectorAssistant.multVector(r, r)) / b.Norm;

            for (iteration = 1; iteration <= maxIteration && residual > minResidual; iteration++)
            {
                alpha = VectorAssistant.multVector(p, r) / p_scal;
                result.Add(z, alpha);
                r.Add(p, -alpha);
                betta = -VectorAssistant.multVector(p, MatrixAssistant.multMatrixVector(A, r)) / p_scal;
                z = VectorAssistant.multScalar(betta, z);
                z.Add(r, 1);
                p = VectorAssistant.multScalar(betta, p);
                p.Add(MatrixAssistant.multMatrixVector(A, r), 1);

                  /*  residual -= alpha * alpha * p_scal;
                if (residual < 0)           //она всё равно отрицательная
                    {
                        residual += alpha * alpha * p_scal;
                        return result;
                    }
                    if (alpha * alpha * p_scal < residual * 10E-5)
                        return result;
                   */
                    p_scal = VectorAssistant.multVector(p, p);
                    residual = Math.Sqrt(VectorAssistant.multVector(r, r)) / b.Norm;

                Debugger.DebugSolver(iteration, residual, result);
            }
            return result;
        }
Exemplo n.º 5
0
        public override IVector Solve(IMatrix A, IVector b, IVector x0)
        {
            IVector x_prev= new Vector(b.Size);
            IVector result = new Vector(b.Size);
            IVector difference = new Vector(b.Size);//f-Ax

            double residual1, residual2;
            double residual_prev;//для проверки изменения невязки
            residual =1;
            residual1 = b.Norm;
            x_prev.Equalize(x0);

            for (int i = 0; i < b.Size; i++)
                if (Math.Abs(A.Diagonal[i]) < EPS_NULL)
                    throw new Exception("Divide by NULL in GaussZeidel_solver: diagonal");
            residual_prev = 2 * residual;

            for (iteration = 0; iteration < maxIteration && residual > minResidual && residual_prev > residual; iteration++)
            {
                difference.Equalize(b);
                //result.Nullify();
                for (int i = 0; i < b.Size; i++)
                {
                    for (int j = 0; j < i; j++)
                        difference[i] -= A[i,j]*result[j];
                    for (int j = i; j < b.Size; j++)
                    {
                        difference[i] -= A[i,j]*x_prev[j];
                    }
                    difference[i] *= (relaxation/A.Diagonal[i]);
                    result[i] = x_prev[i] + difference[i];
                }
                difference.Equalize(b);
                difference.Add(MatrixAssistant.multMatrixVector(A, result), -1);
                residual2 = difference.Norm;
                residual_prev = residual;
                residual = residual2 / residual1;
                //Debugger.DebugSolver(iteration, residual, result);
                x_prev.Equalize(result);
            }

            return result;
        }
Exemplo n.º 6
0
        public override IVector Solve(IMatrix A, IVector b, IVector x0)
        {
            IVector x_prev= new Vector(b.Size);
            IVector result = new Vector(b.Size);
            IVector difference = new Vector(b.Size);//f-Ax

            double residual1, residual2;
            double residual_prev;//для проверки изменения невязки
            residual =1;
            residual1 = b.Norm;
            x_prev.Equalize(x0);

            for (int i = 0; i < b.Size; i++)
                if (Math.Abs(A.Diagonal[i]) < EPS_NULL)
                    throw new Exception("Divide by NULL in GaussZeidel_solver: diagonal");
            residual_prev = 2 * residual;

            for (iteration = 0; iteration < maxIteration && residual > minResidual && residual_prev > residual; iteration++)
            {
                difference.Equalize(b);
                difference.Add(MatrixAssistant.multMatrixUpperVector(A,x_prev),-1);
                for (int i = 0; i < b.Size; i++)
                {
                    double sum = 0;
                    IVector Lx = MatrixAssistant.multMatrixLowerVector(A, result, i);
                    for (int ii = 0; ii < Lx.Size; ii++)
                        sum += Lx[ii];
                    difference[i] -= sum;
                    result[i] = relaxation*difference[i]/A.Diagonal[i];
                }
                difference.Equalize(b);
                difference.Add(MatrixAssistant.multMatrixVector(A, result), -1);
                residual2 = difference.Norm;
                residual_prev = residual;
                residual = residual2 / residual1;
                Debugger.DebugSolver(iteration, residual, result);
                x_prev.Equalize(result);
            }

            return result;
        }
Exemplo n.º 7
0
        public override IVector Solve(IMatrix A, IVector b, IVector x0)
        {
            IVector x = new Vector(b.Size);
            IVector r = new Vector(b.Size);
            IVector z = new Vector(b.Size);

            //          Check errors
            double Azz, rr;
            double norm;

            norm = b.Norm;
            if (norm < EPS_NULL)
            {
                x.Nullify();
                return x;
            }

            x.Equalize(x0);
            r.Equalize(b);
            r.Add(MatrixAssistant.multMatrixVector(A,x),-1);
            z.Equalize(r);
            alpha = 1000;
            for (iteration = 0; iteration < maxIteration && residual > minResidual; iteration++ )
            {
                rr = VectorAssistant.multVector(r, r);
                var Az = MatrixAssistant.multMatrixVector(A, z);
                Azz = VectorAssistant.multVector(Az, z);
                if (Math.Abs(Azz) < EPS_NULL)   return x;
                alpha = rr / Azz;
                x.Add(z,alpha);
                r.Add(Az, -alpha);
                betta = VectorAssistant.multVector(r, r) / rr;
                z=VectorAssistant.multScalar(z,betta);
                z.Add(r, 1);
                residual = r.Norm / norm;
            }
            return x;
        }
Exemplo n.º 8
0
        public override IVector Solve(IMatrix A, IVector b, IVector x0)
        {
            IVector result = new Vector(b.Size);
            IVector difference = new Vector(b.Size);//f-Ax

            double residual1, residual2;
            double residual_prev;//для проверки изменения невязки
            residual = 1;
            residual1 = b.Norm;
            result.Equalize(x0);
            difference.Equalize(b);
            difference.Add(MatrixAssistant.multMatrixVector(A, result), -1);

            for (int i = 0; i < b.Size; i++)
                if (Math.Abs(A.Diagonal[i]) < EPS_NULL)
                    throw new Exception("Divide by NULL in Jacobi_solver: diagonal");
            residual_prev = 2 * residual;

            for (iteration = 0; iteration < maxIteration && residual > minResidual && residual_prev > residual; iteration++)
            {
                for (int i = 0; i < b.Size; i++)
                {
                    difference[i] = difference[i] / A.Diagonal[i];
                }
                result.Add(difference, relaxation);
                difference.Equalize(b);
                difference.Add(MatrixAssistant.multMatrixVector(A, result), -1);
                residual2 = difference.Norm;
                if (Math.Abs(residual1) < EPS_NULL)
                    throw new Exception("Divide by NULL in Jacobi_solver: residual1");
                residual_prev = residual;
                residual = residual2 / residual1;
                //Debugger.DebugSolver(iteration, residual, result);
            }

            return result;
        }
Exemplo n.º 9
0
        public void ReadFromFileCoordinate(out IMatrix A, out Vector b, out Vector x_init)
        {
            using (System.IO.StreamReader file = new System.IO.StreamReader(path))
            {
                var st = file.ReadToEnd().Replace('.',',').Split(new char[] { '\n', ' ', '\t', '\r' },
                StringSplitOptions.RemoveEmptyEntries);
                int n, m;
                if (!int.TryParse(st[0], out n))
                    throw new Exception("Bad file format");
                m = int.Parse(st[0]);
                double[] elem = new double[m];
                int[] iaddr = new int[m];
                int[] jaddr = new int[m];

                long offset = 1;
                for (int i = 0; i < m; i++, offset++)
                {
                    iaddr[i] = int.Parse(st[offset]);
                    offset++;
                    jaddr[i] = int.Parse(st[offset]);
                    offset++;
                    elem[i] = double.Parse(st[offset]);
                }
                if (iaddr[0] != 0)
                {
                    for (int i = 0; i < m; i++)
                        iaddr[i]--;

                    for (int i = 0; i < m; i++)
                        jaddr[i]--;
                }

                n = int.Parse(st[offset]);
                double[] rightPart = new double[n];
                double[] x0 = new double[n];
                offset++;
                for (int i = 0; i < n; i++, offset++)
                    rightPart[i] = double.Parse(st[offset]);

                for (int i = 0; i < n; i++ /*offset++*/)
                    x0[i] = 0;/*double.Parse(st[offset]);*/

                A = new CoordinateMatrix(n, iaddr, jaddr, elem);
                b = new Vector(rightPart);
                x_init = new Vector(x0);
            }
        }
Exemplo n.º 10
0
        public void ReadFromFileDense(out IMatrix A, out Vector b, out Vector x_init)
        {
            using (System.IO.StreamReader file = new System.IO.StreamReader(path))
            {
                var st = file.ReadToEnd().Replace('.', ',').Split(new char[] { '\n', ' ', '\t', '\r' },
                StringSplitOptions.RemoveEmptyEntries);
                int n;
                if (!int.TryParse(st[0], out n))
                    throw new Exception("Bad file format");
                n = int.Parse(st[0]);
                double[,] a = new double[n,n];
                double[] rightPart = new double[n];
                double[] x0 = new double[n];
                long offset = 1;
                for (int i = 0; i < n; i++)
                    for (int j = 0; j < n; j++, offset++)
                        a[i,j] = double.Parse(st[offset]);

                for (int i = 0; i < n; i++, offset++)
                    rightPart[i] = double.Parse(st[offset]);

                for (int i = 0; i < n; i++, offset++)
                    x0[i] = double.Parse(st[offset]);

                A = new DenseMatrix(n, a);
                b = new Vector(rightPart);
                x_init = new Vector(x0);
            }
        }
Exemplo n.º 11
0
 public RowColumnSparseMatrix(int sz, int[] _ia, int[] _ja,
     double[] _al, double[] _au, double[] _di)
 {
     size = sz;
     ia = _ia; ja = _ja; al = new Vector(_al); di = new Vector(_di);
     au = new Vector(_au);
 }
Exemplo n.º 12
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 public ProfileMatrix(int sz, int[] _ial, int[] _iau,
                 double[] _al, double[] _au, double[] _di)
 {
     size = sz;
     ial = _ial; iau = _iau; al = new Vector(_al);
     au = new Vector(_au); di = new Vector(_di);
 }
Exemplo n.º 13
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 public DenseMatrix(int sz, double[,] _a)
 {
     size = sz;
     a = new double[size, size];
     a = _a;
     di = new Vector(size);
     for (int i=0; i< size; i++)
     {
         di[i] = a[i, i];
     }
 }