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269 lines
8.9 KiB
C++
269 lines
8.9 KiB
C++
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//#define WANT_STREAM
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#include "include.h"
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#include "newmatap.h"
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#include "tmt.h"
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#ifdef use_namespace
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using namespace NEWMAT;
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#endif
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// **************************** test program ******************************
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void Transposer(const GenericMatrix& GM1, GenericMatrix&GM2)
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{ GM2 = GM1.t(); }
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// this is a routine in "Numerical Recipes in C" format
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// if R is a row vector, C a column vector and D diagonal
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// make matrix DCR
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static void DCR(Real d[], Real c[], int m, Real r[], int n, Real **dcr)
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{
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int i, j;
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for (i = 1; i <= m; i++) for (j = 1; j <= n; j++)
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dcr[i][j] = d[i] * c[i] * r[j];
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}
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ReturnMatrix TestReturn(const GeneralMatrix& gm) { return gm; }
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void trymat8()
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{
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// cout << "\nEighth test of Matrix package\n";
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Tracer et("Eighth test of Matrix package");
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Tracer::PrintTrace();
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int i;
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DiagonalMatrix D(6);
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for (i=1;i<=6;i++) D(i,i)=i*i+i-10;
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DiagonalMatrix D2=D;
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Matrix MD=D;
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DiagonalMatrix D1(6); for (i=1;i<=6;i++) D1(i,i)=-100+i*i*i;
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Matrix MD1=D1;
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Print(Matrix(D*D1-MD*MD1));
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Print(Matrix((-D)*D1+MD*MD1));
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Print(Matrix(D*(-D1)+MD*MD1));
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DiagonalMatrix DX=D;
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{
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Tracer et1("Stage 1");
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DX=(DX+D1)*DX; Print(Matrix(DX-(MD+MD1)*MD));
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DX=D;
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DX=-DX*DX+(DX-(-D1))*((-D1)+DX);
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// Matrix MX = Matrix(MD1);
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// MD1=DX+(MX.t())*(MX.t()); Print(MD1);
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MD1=DX+(Matrix(MD1).t())*(Matrix(MD1).t()); Print(MD1);
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DX=D; DX=DX; DX=D2-DX; Print(DiagonalMatrix(DX));
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DX=D;
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}
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{
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Tracer et1("Stage 2");
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D.Release(2);
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D1=D; D2=D;
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Print(DiagonalMatrix(D1-DX));
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Print(DiagonalMatrix(D2-DX));
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MD1=1.0;
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Print(Matrix(MD1-1.0));
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}
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{
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Tracer et1("Stage 3");
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//GenericMatrix
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LowerTriangularMatrix LT(4);
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LT << 1 << 2 << 3 << 4 << 5 << 6 << 7 << 8 << 9 << 10;
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UpperTriangularMatrix UT = LT.t() * 2.0;
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GenericMatrix GM1 = LT;
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LowerTriangularMatrix LT1 = GM1-LT; Print(LT1);
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GenericMatrix GM2 = GM1; LT1 = GM2; LT1 = LT1-LT; Print(LT1);
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GM2 = GM1; LT1 = GM2; LT1 = LT1-LT; Print(LT1);
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GM2 = GM1*2; LT1 = GM2; LT1 = LT1-LT*2; Print(LT1);
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GM1.Release();
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GM1=GM1; LT1=GM1-LT; Print(LT1); LT1=GM1-LT; Print(LT1);
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GM1.Release();
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GM1=GM1*4; LT1=GM1-LT*4; Print(LT1);
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LT1=GM1-LT*4; Print(LT1); GM1.CleanUp();
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GM1=LT; GM2=UT; GM1=GM1*GM2; Matrix M=GM1; M=M-LT*UT; Print(M);
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Transposer(LT,GM2); LT1 = LT - GM2.t(); Print(LT1);
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GM1=LT; Transposer(GM1,GM2); LT1 = LT - GM2.t(); Print(LT1);
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GM1 = LT; GM1 = GM1 + GM1; LT1 = LT*2-GM1; Print(LT1);
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DiagonalMatrix D; D << LT; GM1 = D; LT1 = GM1; LT1 -= D; Print(LT1);
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UpperTriangularMatrix UT1 = GM1; UT1 -= D; Print(UT1);
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}
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{
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Tracer et1("Stage 4");
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// Another test of SVD
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Matrix M(12,12); M = 0;
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M(1,1) = M(2,2) = M(4,4) = M(6,6) =
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M(7,7) = M(8,8) = M(10,10) = M(12,12) = -1;
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M(1,6) = M(1,12) = -5.601594;
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M(3,6) = M(3,12) = -0.000165;
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M(7,6) = M(7,12) = -0.008294;
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DiagonalMatrix D;
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SVD(M,D);
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SortDescending(D);
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// answer given by matlab
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DiagonalMatrix DX(12);
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DX(1) = 8.0461;
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DX(2) = DX(3) = DX(4) = DX(5) = DX(6) = DX(7) = 1;
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DX(8) = 0.1243;
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DX(9) = DX(10) = DX(11) = DX(12) = 0;
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D -= DX; Clean(D,0.0001); Print(D);
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}
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#ifndef DONT_DO_NRIC
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{
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Tracer et1("Stage 5");
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// test numerical recipes in C interface
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DiagonalMatrix D(10);
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D << 1 << 4 << 6 << 2 << 1 << 6 << 4 << 7 << 3 << 1;
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ColumnVector C(10);
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C << 3 << 7 << 5 << 1 << 4 << 2 << 3 << 9 << 1 << 3;
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RowVector R(6);
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R << 2 << 3 << 5 << 7 << 11 << 13;
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nricMatrix M(10, 6);
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DCR( D.nric(), C.nric(), 10, R.nric(), 6, M.nric() );
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M -= D * C * R; Print(M);
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D.ReSize(5);
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D << 1.25 << 4.75 << 9.5 << 1.25 << 3.75;
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C.ReSize(5);
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C << 1.5 << 7.5 << 4.25 << 0.0 << 7.25;
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R.ReSize(9);
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R << 2.5 << 3.25 << 5.5 << 7 << 11.25 << 13.5 << 0.0 << 1.5 << 3.5;
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Matrix MX = D * C * R;
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M.ReSize(MX);
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DCR( D.nric(), C.nric(), 5, R.nric(), 9, M.nric() );
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M -= MX; Print(M);
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}
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#endif
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{
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Tracer et1("Stage 6");
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// test dotproduct
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DiagonalMatrix test(5); test = 1;
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ColumnVector C(10);
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C << 3 << 7 << 5 << 1 << 4 << 2 << 3 << 9 << 1 << 3;
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RowVector R(10);
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R << 2 << 3 << 5 << 7 << 11 << 13 << -3 << -4 << 2 << 4;
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test(1) = (R * C).AsScalar() - DotProduct(C, R);
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test(2) = C.SumSquare() - DotProduct(C, C);
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test(3) = 6.0 * (C.t() * R.t()).AsScalar() - DotProduct(2.0 * C, 3.0 * R);
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Matrix MC = C.AsMatrix(2,5), MR = R.AsMatrix(5,2);
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test(4) = DotProduct(MC, MR) - (R * C).AsScalar();
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UpperTriangularMatrix UT(5);
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UT << 3 << 5 << 2 << 1 << 7
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<< 1 << 1 << 8 << 2
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<< 7 << 0 << 1
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<< 3 << 5
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<< 6;
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LowerTriangularMatrix LT(5);
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LT << 5
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<< 2 << 3
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<< 1 << 0 << 7
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<< 9 << 8 << 1 << 2
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<< 0 << 2 << 1 << 9 << 2;
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test(5) = DotProduct(UT, LT) - Sum(SP(UT, LT));
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Print(test);
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// check row-wise load;
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LowerTriangularMatrix LT1(5);
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LT1.Row(1) << 5;
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LT1.Row(2) << 2 << 3;
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LT1.Row(3) << 1 << 0 << 7;
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LT1.Row(4) << 9 << 8 << 1 << 2;
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LT1.Row(5) << 0 << 2 << 1 << 9 << 2;
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Matrix M = LT1 - LT; Print(M);
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// check solution with identity matrix
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IdentityMatrix IM(5); IM *= 2;
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LinearEquationSolver LES1(IM);
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LowerTriangularMatrix LTX = LES1.i() * LT;
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M = LTX * 2 - LT; Print(M);
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DiagonalMatrix D = IM;
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LinearEquationSolver LES2(IM);
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LTX = LES2.i() * LT;
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M = LTX * 2 - LT; Print(M);
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UpperTriangularMatrix UTX = LES1.i() * UT;
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M = UTX * 2 - UT; Print(M);
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UTX = LES2.i() * UT;
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M = UTX * 2 - UT; Print(M);
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}
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{
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Tracer et1("Stage 7");
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// Some more GenericMatrix stuff with *= |= &=
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// but don't any additional checks
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BandMatrix BM1(6,2,3);
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BM1.Row(1) << 3 << 8 << 4 << 1;
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BM1.Row(2) << 5 << 1 << 9 << 7 << 2;
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BM1.Row(3) << 1 << 0 << 6 << 3 << 1 << 3;
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BM1.Row(4) << 4 << 2 << 5 << 2 << 4;
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BM1.Row(5) << 3 << 3 << 9 << 1;
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BM1.Row(6) << 4 << 2 << 9;
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BandMatrix BM2(6,1,1);
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BM2.Row(1) << 2.5 << 7.5;
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BM2.Row(2) << 1.5 << 3.0 << 8.5;
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BM2.Row(3) << 6.0 << 6.5 << 7.0;
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BM2.Row(4) << 2.5 << 2.0 << 8.0;
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BM2.Row(5) << 0.5 << 4.5 << 3.5;
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BM2.Row(6) << 9.5 << 7.5;
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Matrix RM1 = BM1, RM2 = BM2;
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Matrix X;
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GenericMatrix GRM1 = RM1, GBM1 = BM1, GRM2 = RM2, GBM2 = BM2;
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Matrix Z(6,0); Z = 5; Print(Z);
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GRM1 |= Z; GBM1 |= Z; GRM2 &= Z.t(); GBM2 &= Z.t();
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X = GRM1 - BM1; Print(X); X = GBM1 - BM1; Print(X);
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X = GRM2 - BM2; Print(X); X = GBM2 - BM2; Print(X);
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GRM1 = RM1; GBM1 = BM1; GRM2 = RM2; GBM2 = BM2;
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GRM1 *= GRM2; GBM1 *= GBM2;
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X = GRM1 - BM1 * BM2; Print(X);
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X = RM1 * RM2 - GBM1; Print(X);
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GRM1 = RM1; GBM1 = BM1; GRM2 = RM2; GBM2 = BM2;
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GRM1 *= GBM2; GBM1 *= GRM2; // Bs and Rs swapped on LHS
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X = GRM1 - BM1 * BM2; Print(X);
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X = RM1 * RM2 - GBM1; Print(X);
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X = BM1.t(); BandMatrix BM1X = BM1.t();
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GRM1 = RM1; X -= GRM1.t(); Print(X); X = BM1X - BM1.t(); Print(X);
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// check that linear equation solver works with Identity Matrix
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IdentityMatrix IM(6); IM *= 2;
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GBM1 = BM1; GBM1 *= 4; GRM1 = RM1; GRM1 *= 4;
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DiagonalMatrix D = IM;
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LinearEquationSolver LES1(D);
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BandMatrix BX;
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BX = LES1.i() * GBM1; BX -= BM1 * 2; X = BX; Print(X);
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LinearEquationSolver LES2(IM);
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BX = LES2.i() * GBM1; BX -= BM1 * 2; X = BX; Print(X);
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BX = D.i() * GBM1; BX -= BM1 * 2; X = BX; Print(X);
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BX = IM.i() * GBM1; BX -= BM1 * 2; X = BX; Print(X);
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BX = IM.i(); BX *= GBM1; BX -= BM1 * 2; X = BX; Print(X);
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// try symmetric band matrices
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SymmetricBandMatrix SBM; SBM << SP(BM1, BM1.t());
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SBM << IM.i() * SBM;
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X = 2 * SBM - SP(RM1, RM1.t()); Print(X);
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// Do this again with more general D
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D << 2.5 << 7.5 << 2 << 5 << 4.5 << 7.5;
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BX = D.i() * BM1; X = BX - D.i() * RM1;
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Clean(X,0.00000001); Print(X);
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BX = D.i(); BX *= BM1; X = BX - D.i() * RM1;
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Clean(X,0.00000001); Print(X);
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SBM << SP(BM1, BM1.t());
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BX = D.i() * SBM; X = BX - D.i() * SP(RM1, RM1.t());
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Clean(X,0.00000001); Print(X);
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// test return
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BX = TestReturn(BM1); X = BX - BM1;
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if (BX.BandWidth() != BM1.BandWidth()) X = 5;
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Print(X);
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}
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// cout << "\nEnd of eighth test\n";
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}
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