text: 
  //#define WANT_STREAM
  
  
  #include "include.h"
  
  #include "newmat.h"
  
  #include "tmt.h"
  
  #ifdef use_namespace
  using namespace NEWMAT;
  #endif
  
  
  /**************************** test program ******************************/
  
  
  void trymat2()
  {
  //   cout << "\nSecond test of Matrix package\n\n";
     Tracer et("Second test of Matrix package");
     Tracer::PrintTrace();
  
     int i,j;
  
     Matrix M(3,5);
     for (i=1; i<=3; i++) for (j=1; j<=5; j++) M(i,j) = 100*i + j;
     Matrix X(8,10);
     for (i=1; i<=8; i++) for (j=1; j<=10; j++) X(i,j) = 1000*i + 10*j;
     Matrix Y = X; Matrix Z = X;
     { X.SubMatrix(2,4,3,7) << M; }
     for (i=1; i<=3; i++) for (j=1; j<=5; j++) Y(i+1,j+2) = 100*i + j;
     Print(Matrix(X-Y));
  
  
     Real a[15]; Real* r = a;
     for (i=1; i<=3; i++) for (j=1; j<=5; j++) *r++ = 100*i + j;
     { Z.SubMatrix(2,4,3,7) << a; }
     Print(Matrix(Z-Y));
  
     { M=33; X.SubMatrix(2,4,3,7) << M; }
     { Z.SubMatrix(2,4,3,7) = 33; }
     Print(Matrix(Z-X));
  
     for (i=1; i<=8; i++) for (j=1; j<=10; j++) X(i,j) = 1000*i + 10*j;
     Y = X;
     UpperTriangularMatrix U(5);
     for (i=1; i<=5; i++) for (j=i; j<=5; j++) U(i,j) = 100*i + j;
     { X.SubMatrix(3,7,5,9) << U; }
     for (i=1; i<=5; i++) for (j=i; j<=5; j++) Y(i+2,j+4) = 100*i + j;
     for (i=1; i<=5; i++) for (j=1; j<i; j++) Y(i+2,j+4) = 0.0;
     Print(Matrix(X-Y));
     for (i=1; i<=8; i++) for (j=1; j<=10; j++) X(i,j) = 1000*i + 10*j;
     Y = X;
     for (i=1; i<=5; i++) for (j=i; j<=5; j++) U(i,j) = 100*i + j;
     { X.SubMatrix(3,7,5,9).Inject(U); }
     for (i=1; i<=5; i++) for (j=i; j<=5; j++) Y(i+2,j+4) = 100*i + j;
     Print(Matrix(X-Y));
  
  
     // test growing and shrinking a vector
     {
        ColumnVector V(100);
        for (i=1;i<=100;i++) V(i) = i*i+i;
        V = V.Rows(1,50);               // to get first 50 vlaues.
  
        {
           V.Release(); ColumnVector VX=V;
           V.ReSize(100); V = 0.0; V.Rows(1,50)=VX;
        }                               // V now length 100
  
        M=V; M=100;                     // to make sure V will hold its values
        for (i=1;i<=50;i++) V(i) -= i*i+i;
        Print(V);
  
  
  	   // test redimensioning vectors with two dimensions given
        ColumnVector CV1(10); CV1 = 10;
        ColumnVector CV2(5); CV2.ReSize(10,1); CV2 = 10;
        V = CV1-CV2; Print(V);
  
        RowVector RV1(20); RV1 = 100;
        RowVector RV2; RV2.ReSize(1,20); RV2 = 100;
        V = (RV1-RV2).t(); Print(V);
  
        X.ReSize(4,7);
        for (i=1; i<=4; i++) for (j=1; j<=7; j++) X(i,j) = 1000*i + 10*j;
        Y = 10.5 * X;
        Z = 7.25 - Y;
        M = Z + X * 10.5 - 7.25;
        Print(M);
        Y = 2.5 * X;
        Z = 9.25 + Y;
        M = Z - X * 2.5 - 9.25;
        Print(M);
        U.ReSize(8);
        for (i=1; i<=8; i++) for (j=i; j<=8; j++) U(i,j) = 100*i + j;
        Y = 100 - U;
        M = Y + U - 100;
        Print(M);
     }
  
     {
        SymmetricMatrix S,T;
  
        S << (U + U.t());
        T = 100 - S; M = T + S - 100; Print(M);
        T = 100 - 2 * S; M = T + S * 2 - 100; Print(M);
        X = 100 - 2 * S; M = X + S * 2 - 100; Print(M);
        T = S; T = 100 - T; M = T + S - 100; Print(M);
     }
  
     // test new
     {
        ColumnVector CV1; RowVector RV1;
        Matrix* MX; MX = new Matrix; if (!MX) Throw(Bad_alloc("New fails "));
        MX->ReSize(10,20);
        for (i = 1; i <= 10; i++) for (j = 1; j <= 20; j++)
           (*MX)(i,j) = 100 * i + j;
        ColumnVector* CV = new ColumnVector(10);
        if (!CV) Throw(Bad_alloc("New fails "));
        *CV << 1 << 2 << 3 << 4 << 5 << 6 << 7 << 8 << 9 << 10;
        RowVector* RV =  new RowVector(CV->t() | (*CV + 10).t());
        if (!RV) Throw(Bad_alloc("New fails "));
        CV1 = ColumnVector(10); CV1 = 1; RV1 = RowVector(20); RV1 = 1;
        *MX -= 100 * *CV * RV1 + CV1 * *RV;
        Print(*MX);
        delete MX; delete CV; delete RV;
     }
  
  
     // test copying of vectors and matrices with no elements
     {
        ColumnVector dims(16);
        Matrix M1; Matrix M2 = M1; Print(M2);
        dims(1) = M2.Nrows(); dims(2) = M2.Ncols();
        dims(3) = (Real)(unsigned long)M2.Store(); dims(4) = M2.Storage();
        M2 = M1;
        dims(5) = M2.Nrows(); dims(6) = M2.Ncols();
        dims(7) = (Real)(unsigned long)M2.Store(); dims(8) = M2.Storage();
        M2.ReSize(10,20); M2.CleanUp();
        dims(9) = M2.Nrows(); dims(10) = M2.Ncols();
        dims(11) = (Real)(unsigned long)M2.Store(); dims(12) = M2.Storage();
        M2.ReSize(20,10); M2.ReSize(0,0);
        dims(13) = M2.Nrows(); dims(14) = M2.Ncols();
        dims(15) = (Real)(unsigned long)M2.Store(); dims(16) = M2.Storage();
        Print(dims);
     }
  
     {
        ColumnVector dims(16);
        ColumnVector M1; ColumnVector M2 = M1; Print(M2);
        dims(1) = M2.Nrows(); dims(2) = M2.Ncols()-1;
        dims(3) = (Real)(unsigned long)M2.Store(); dims(4) = M2.Storage();
        M2 = M1;
        dims(5) = M2.Nrows(); dims(6) = M2.Ncols()-1;
        dims(7) = (Real)(unsigned long)M2.Store(); dims(8) = M2.Storage();
        M2.ReSize(10); M2.CleanUp();
        dims(9) = M2.Nrows(); dims(10) = M2.Ncols()-1;
        dims(11) = (Real)(unsigned long)M2.Store(); dims(12) = M2.Storage();
        M2.ReSize(10); M2.ReSize(0);
        dims(13) = M2.Nrows(); dims(14) = M2.Ncols()-1;
        dims(15) = (Real)(unsigned long)M2.Store(); dims(16) = M2.Storage();
        Print(dims);
     }
  
     {
        ColumnVector dims(16);
        RowVector M1; RowVector M2 = M1; Print(M2);
        dims(1) = M2.Nrows()-1; dims(2) = M2.Ncols();
        dims(3) = (Real)(unsigned long)M2.Store(); dims(4) = M2.Storage();
        M2 = M1;
        dims(5) = M2.Nrows()-1; dims(6) = M2.Ncols();
        dims(7) = (Real)(unsigned long)M2.Store(); dims(8) = M2.Storage();
        M2.ReSize(10); M2.CleanUp();
        dims(9) = M2.Nrows()-1; dims(10) = M2.Ncols();
        dims(11) = (Real)(unsigned long)M2.Store(); dims(12) = M2.Storage();
        M2.ReSize(10); M2.ReSize(0);
        dims(13) = M2.Nrows()-1; dims(14) = M2.Ncols();
        dims(15) = (Real)(unsigned long)M2.Store(); dims(16) = M2.Storage();
        Print(dims);
     }
  
     // test identity matrix
     {
        Matrix M;
        IdentityMatrix I(10); DiagonalMatrix D(10); D = 1;
        M = I; M -= D; Print(M);
        D -= I; Print(D);
        ColumnVector X(8);
        D = 1;
        X(1) = Sum(D) - Sum(I);
        X(2) = SumAbsoluteValue(D) - SumAbsoluteValue(I);
        X(3) = SumSquare(D) - SumSquare(I);
        X(4) = Trace(D) - Trace(I);
        X(5) = Maximum(D) - Maximum(I);
        X(6) = Minimum(D) - Minimum(I);
        X(7) = LogDeterminant(D).LogValue() - LogDeterminant(I).LogValue();
        X(8) = LogDeterminant(D).Sign() - LogDeterminant(I).Sign();
        Clean(X,0.00000001); Print(X);
  
        for (i = 1; i <= 10; i++) for (j = 1; j <= 10; j++)
           M(i,j) = 100 * i + j;
        Matrix N;
        N = M * I - M; Print(N);
        N = I * M - M; Print(N);
        N = M * I.i() - M; Print(N);
        N = I.i() * M - M; Print(N);
        N = I.i(); N -= I; Print(N);
        N = I.t(); N -= I; Print(N);
        N = I.t(); N += (-I); Print(N); // <----------------
        D = I; N = D; D = 1; N -= D; Print(N);
        N = I; D = 1; N -= D; Print(N);
        N = M + 2 * IdentityMatrix(10); N -= (M + 2 * D); Print(N);
  
        I *= 4;
  
        D = 4;
  
        X.ReSize(14);
        X(1) = Sum(D) - Sum(I);
        X(2) = SumAbsoluteValue(D) - SumAbsoluteValue(I);
        X(3) = SumSquare(D) - SumSquare(I);
        X(4) = Trace(D) - Trace(I);
        X(5) = Maximum(D) - Maximum(I);
        X(6) = Minimum(D) - Minimum(I);
        X(7) = LogDeterminant(D).LogValue() - LogDeterminant(I).LogValue();  // <--
        X(8) = LogDeterminant(D).Sign() - LogDeterminant(I).Sign();
        int i,j;
        X(9) = I.Maximum1(i) - 4; X(10) = i-1;
        X(11) = I.Maximum2(i,j) - 4; X(12) = i-10; X(13) = j-10;
        X(14) = I.Nrows() - 10;
        Clean(X,0.00000001); Print(X);
  
  
        N = D.i();
        N += I / (-16);
        Print(N);
        N = M * I - 4 * M; Print(N);
        N = I * M - 4 * M; Print(N);
        N = M * I.i() - 0.25 * M; Print(N);
        N = I.i() * M - 0.25 * M; Print(N);
        N = I.i(); N -= I * 0.0625; Print(N);
        N = I.i(); N = N - 0.0625 * I; Print(N);
        N = I.t(); N -= I; Print(N);
        D = I * 2; N = D; D = 1; N -= 8 * D; Print(N);
        N = I * 2; N -= 8 * D; Print(N);
        N = 0.5 * I + M; N -= M; N -= 2.0 * D; Print(N);
  
        IdentityMatrix J(10); J = 8;
        D = 4;
        DiagonalMatrix E(10); E = 8;
        N = (I + J) - (D + E); Print(N);
        N = (5*I + 3*J) - (5*D + 3*E); Print(N);
        N = (-I + J) - (-D + E); Print(N);
        N = (I - J) - (D - E); Print(N);
        N = (I | J) - (D | E); Print(N);
        N = (I & J) - (D & E); Print(N);
        N = SP(I,J) - SP(D,E); Print(N);
        N = D.SubMatrix(2,5,3,8) - I.SubMatrix(2,5,3,8); Print(N);
  
        N = M; N.Inject(I); D << M; N -= (M + I); N += D; Print(N);
        D = 4;
  
        IdentityMatrix K = I.i()*7 - J.t()/4;
        N = D.i() * 7 - E / 4 - K; Print(N);
        K = I * J; N = K - D * E; Print(N);
        N = I * J; N -= D * E; Print(N);
        K = 5*I - 3*J;
        N = K - (5*D - 3*E); Print(N);
        K = I.i(); N = K - 0.0625 * I; Print(N);
        K = I.t(); N = K - I; Print(N);
  
  
        K.ReSize(20); D.ReSize(20); D = 1;
        D -= K; Print(D);
  
        I.ReSize(3); J.ReSize(3); K = I * J; N = K - I; Print(N);
        K << D; N = K - D; Print(N);
  
  
     }
  
  
  //   cout << "\nEnd of second test\n";
  }
  