// @(#)root/test:$Id$ // Author: Fons Rademakers and Eddy Offermann Nov 2003 ////////////////////////////////////////////////////////////////////////// // // // Linear Algebra Package -- Matrix Verifications. // // // // This file implements a large set of TMat operation tests. // // ******************************************************************* // // * Starting Matrix - S T R E S S suite // // ******************************************************************* // // Test 1 : Allocation, Resizing.................................. OK // // Test 2 : Filling, Inserting, Using............................. OK // // Test 3 : Uniform matrix operations............................. OK // // Test 4 : Binary Matrix element-by-element operations............OK // // Test 5 : Matrix transposition...................................OK // // Test 6 : Haar/Hilbert Matrix....................................OK // // Test 7 : Matrix promises........................................OK // // Test 8 : Matrix Norms...........................................OK // // Test 9 : Matrix Determinant.....................................OK // // Test 10 : General Matrix Multiplications.........................OK // // Test 11 : Symmetric Matrix Multiplications.......................OK // // Test 12 : Matrix Vector Multiplications..........................OK // // Test 13 : Matrix Inversion.......................................OK // // Test 14 : Matrix Persistence.....................................OK // // ******************************************************************* // // // ////////////////////////////////////////////////////////////////////////// //_____________________________batch only_____________________ #ifndef __CINT__ #include "Riostream.h" #include "TFile.h" #include "TMatrixD.h" #include "TMatrixDSym.h" #include "TMatrixDLazy.h" #include "TVectorD.h" #include "TArrayD.h" #include "TMath.h" #include "TDecompLU.h" #include "TDecompQRH.h" #include "TDecompSVD.h" void stress_matrix (Int_t verbose); void StatusPrint (Int_t id,const TString &title,Int_t status); void stress_allocation (); void stress_matrix_fill (Int_t rsize,Int_t csize); void stress_element_op (Int_t rsize,Int_t csize); void stress_binary_ebe_op (Int_t rsize, Int_t csize); void stress_transposition (Int_t msize); void stress_special_creation (Int_t dim); void stress_matrix_fill (Int_t rsize,Int_t csize); void stress_matrix_promises (Int_t dim); void stress_norms (Int_t rsize,Int_t csize); void stress_determinant (Int_t msize); void stress_mm_multiplications (Int_t msize); void stress_sym_mm_multiplications(Int_t msize); void stress_vm_multiplications (Int_t msize); void stress_inversion (Int_t msize); void stress_matrix_io (); int main(int argc,char **argv) { Int_t verbose = 0; Char_t c; while (argc > 1 && argv[1][0] == '-' && argv[1][1] != 0) { for (Int_t i = 1; (c = argv[1][i]) != 0; i++) { switch (c) { case 'v': verbose = 1; break; default: Error("vmatrix", "unknown flag -%c",c); break; } } argc--; argv++; } stress_matrix(verbose); return 0; } #endif #define EPSILON 1.0e-14 Int_t gVerbose = 0; //________________________________common part_________________________ void stress_matrix(Int_t verbose=0) { cout << "******************************************************************" < Test allocation and compatibility check" << endl; Bool_t ok = kTRUE; Int_t i,j; TMatrixD m1(4,20); for (i = m1.GetRowLwb(); i <= m1.GetRowUpb(); i++) for (j = m1.GetColLwb(); j <= m1.GetColUpb(); j++) m1(i,j) = TMath::Pi()*i+TMath::E()*j; TMatrixD m2(0,3,0,19); TMatrixD m3(1,4,0,19); TMatrixD m4(m1); if (gVerbose) { cout << "\nStatus information reported for matrix m3:" << endl; cout << " Row lower bound ... " << m3.GetRowLwb() << endl; cout << " Row upper bound ... " << m3.GetRowUpb() << endl; cout << " Col lower bound ... " << m3.GetColLwb() << endl; cout << " Col upper bound ... " << m3.GetColUpb() << endl; cout << " No. rows ..........." << m3.GetNrows() << endl; cout << " No. cols ..........." << m3.GetNcols() << endl; cout << " No. of elements ...." << m3.GetNoElements() << endl; } if (gVerbose) cout << "\nCheck matrices 1 & 2 for compatibility" << endl; ok &= AreCompatible(m1,m2,gVerbose); if (gVerbose) cout << "Check matrices 1 & 4 for compatibility" << endl; ok &= AreCompatible(m1,m4,gVerbose); if (gVerbose) cout << "m2 has to be compatible with m3 after resizing to m3" << endl; m2.ResizeTo(m3); ok &= AreCompatible(m2,m3,gVerbose); TMatrixD m5(m1.GetNrows()+1,m1.GetNcols()+5); for (i = m5.GetRowLwb(); i <= m5.GetRowUpb(); i++) for (j = m5.GetColLwb(); j <= m5.GetColUpb(); j++) m5(i,j) = TMath::Pi()*i+TMath::E()*j; if (gVerbose) cout << "m1 has to be compatible with m5 after resizing to m5" << endl; m1.ResizeTo(m5.GetNrows(),m5.GetNcols()); ok &= AreCompatible(m1,m5,gVerbose); if (gVerbose) cout << "m1 has to be equal to m4 after stretching and shrinking" << endl; m1.ResizeTo(m4.GetNrows(),m4.GetNcols()); ok &= VerifyMatrixIdentity(m1,m4,gVerbose,EPSILON); if (gVerbose) cout << "m5 has to be equal to m1 after shrinking" << endl; m5.ResizeTo(m1.GetNrows(),m1.GetNcols()); ok &= VerifyMatrixIdentity(m1,m5,gVerbose,EPSILON); if (gVerbose) cout << "stretching and shrinking for small matrices (stack)" << endl; if (gVerbose) cout << "m8 has to be equal to m7 after stretching and shrinking" << endl; TMatrixD m6(4,4); for (i = m6.GetRowLwb(); i <= m6.GetRowUpb(); i++) for (j = m6.GetColLwb(); j <= m6.GetColUpb(); j++) m6(i,j) = TMath::Pi()*i+TMath::E()*j; TMatrixD m8(3,3); for (i = m8.GetRowLwb(); i <= m8.GetRowUpb(); i++) for (j = m8.GetColLwb(); j <= m8.GetColUpb(); j++) m8(i,j) = TMath::Pi()*i+TMath::E()*j; TMatrixD m7(m8); m8.ResizeTo(4,4); m8.ResizeTo(3,3); ok &= VerifyMatrixIdentity(m7,m8,gVerbose,EPSILON); if (gVerbose) cout << "m6 has to be equal to m8 after shrinking" << endl; m6.ResizeTo(3,3); ok &= VerifyMatrixIdentity(m6,m8,gVerbose,EPSILON); if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(1,"Allocation, Resizing",ok); } class FillMatrix : public TElementPosActionD { Int_t no_elems,no_cols; void Operation(Double_t &element) const { element = 4*TMath::Pi()/no_elems * (fI*no_cols+fJ); } public: FillMatrix() {} FillMatrix(const TMatrixD &m) : no_elems(m.GetNoElements()),no_cols(m.GetNcols()) { } }; // //------------------------------------------------------------------------ // Test Filling of matrix // void stress_matrix_fill(Int_t rsize,Int_t csize) { if (gVerbose) cout << "\n\n---> Test different matrix filling methods\n" << endl; Bool_t ok = kTRUE; if (gVerbose) cout << "Creating m with Apply function..." << endl; TMatrixD m(-1,rsize-2,1,csize); #ifndef __CINT__ FillMatrix f(m); m.Apply(f); #else for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) for (Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) m(i,j) = 4*TMath::Pi()/m.GetNoElements() * (i*m.GetNcols()+j); #endif { if (gVerbose) cout << "Check identity between m and matrix filled through (i,j)" << endl; TMatrixD m_overload1(-1,rsize-2,1,csize); TMatrixD m_overload2(-1,rsize-2,1,csize); for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) { for (Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) { const Double_t val = 4*TMath::Pi()/rsize/csize*(i*csize+j); m_overload1(i,j) = val; m_overload2[i][j] = val; } } ok &= VerifyMatrixIdentity(m,m_overload1,gVerbose,EPSILON); if (gVerbose) cout << "Check identity between m and matrix filled through [i][j]" << endl; ok &= VerifyMatrixIdentity(m,m_overload2,gVerbose,EPSILON); if (gVerbose) cout << "Check identity between matrix filled through [i][j] and (i,j)" << endl; ok &= VerifyMatrixIdentity(m_overload1,m_overload2,gVerbose,EPSILON); } { TArrayD a_fortran(rsize*csize); TArrayD a_c (rsize*csize); for (Int_t i = 0; i < rsize; i++) { for (Int_t j = 0; j < csize; j++) { a_c[i*csize+j] = 4*TMath::Pi()/rsize/csize*((i-1)*csize+j+1); a_fortran[i+rsize*j] = a_c[i*csize+j]; } } if (gVerbose) cout << "Creating m_fortran by filling with fortran stored matrix" << endl; TMatrixD m_fortran(-1,rsize-2,1,csize,a_fortran.GetArray(),"F"); if (gVerbose) cout << "Check identity between m and m_fortran" << endl; ok &= VerifyMatrixIdentity(m,m_fortran,gVerbose,EPSILON); if (gVerbose) cout << "Creating m_c by filling with c stored matrix" << endl; TMatrixD m_c(-1,rsize-2,1,csize,a_c.GetArray()); if (gVerbose) cout << "Check identity between m and m_c" << endl; ok &= VerifyMatrixIdentity(m,m_c,gVerbose,EPSILON); } { if (gVerbose) cout << "Check insertion/extraction of sub-matrices" << endl; { TMatrixD m_sub1 = m; m_sub1.ResizeTo(0,rsize-2,2,csize); TMatrixD m_sub2 = m.GetSub(0,rsize-2,2,csize,""); ok &= VerifyMatrixIdentity(m_sub1,m_sub2,gVerbose,EPSILON); } { TMatrixD m2(-1,rsize-2,1,csize); TMatrixD m_part1 = m.GetSub(0,rsize-2,2,csize,""); TMatrixD m_part2 = m.GetSub(0,rsize-2,1,1,""); TMatrixD m_part3 = m.GetSub(-1,-1,2,csize,""); TMatrixD m_part4 = m.GetSub(-1,-1,1,1,""); m2.SetSub(0,2,m_part1); m2.SetSub(0,1,m_part2); m2.SetSub(-1,2,m_part3); m2.SetSub(-1,1,m_part4); ok &= VerifyMatrixIdentity(m,m2,gVerbose,EPSILON); } { TMatrixD m2(-1,rsize-2,1,csize); TMatrixD m_part1 = m.GetSub(0,rsize-2,2,csize,"S"); TMatrixD m_part2 = m.GetSub(0,rsize-2,1,1,"S"); TMatrixD m_part3 = m.GetSub(-1,-1,2,csize,"S"); TMatrixD m_part4 = m.GetSub(-1,-1,1,1,"S"); m2.SetSub(0,2,m_part1); m2.SetSub(0,1,m_part2); m2.SetSub(-1,2,m_part3); m2.SetSub(-1,1,m_part4); ok &= VerifyMatrixIdentity(m,m2,gVerbose,EPSILON); } } { if (gVerbose) cout << "Check array Use" << endl; { TMatrixD *m1 = new TMatrixD(m); TMatrixD *m2 = new TMatrixD(); m2->Use(m1->GetRowLwb(),m1->GetRowUpb(),m1->GetColLwb(),m1->GetColUpb(),m1->GetMatrixArray()); ok &= VerifyMatrixIdentity(m,*m2,gVerbose,EPSILON); m2->Sqr(); TMatrixD m3 = m; m3.Sqr(); ok &= VerifyMatrixIdentity(m3,*m1,gVerbose,EPSILON); delete m1; delete m2; } } if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(2,"Filling, Inserting, Using",ok); } // //------------------------------------------------------------------------ // Test uniform element operations // typedef double (*dfunc)(double); class ApplyFunction : public TElementActionD { dfunc fFunc; void Operation(Double_t &element) const { element = fFunc(double(element)); } public: ApplyFunction(dfunc func) : fFunc(func) { } }; void stress_element_op(Int_t rsize,Int_t csize) { Bool_t ok = kTRUE; const Double_t pattern = 8.625; TMatrixD m(-1,rsize-2,1,csize); if (gVerbose) cout << "\nWriting zeros to m..." << endl; { for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) for(Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) m(i,j) = 0; ok &= VerifyMatrixValue(m,0.,gVerbose,EPSILON); } if (gVerbose) cout << "Creating zero m1 ..." << endl; TMatrixD m1(TMatrixD::kZero, m); ok &= VerifyMatrixValue(m1,0.,gVerbose,EPSILON); if (gVerbose) cout << "Comparing m1 with 0 ..." << endl; R__ASSERT(m1 == 0); R__ASSERT(!(m1 != 0)); if (gVerbose) cout << "Writing a pattern " << pattern << " by assigning to m(i,j)..." << endl; { for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) for (Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) m(i,j) = pattern; ok &= VerifyMatrixValue(m,pattern,gVerbose,EPSILON); } if (gVerbose) cout << "Writing the pattern by assigning to m1 as a whole ..." << endl; m1 = pattern; ok &= VerifyMatrixValue(m1,pattern,gVerbose,EPSILON); if (gVerbose) cout << "Comparing m and m1 ..." << endl; R__ASSERT(m == m1); if (gVerbose) cout << "Comparing (m=0) and m1 ..." << endl; R__ASSERT(!(m.Zero() == m1)); if (gVerbose) cout << "Clearing m1 ..." << endl; m1.Zero(); ok &= VerifyMatrixValue(m1,0.,gVerbose,EPSILON); if (gVerbose) cout << "\nClear m and add the pattern" << endl; m.Zero(); m += pattern; ok &= VerifyMatrixValue(m,pattern,gVerbose,EPSILON); if (gVerbose) cout << " add the doubled pattern with the negative sign" << endl; m += -2*pattern; ok &= VerifyMatrixValue(m,-pattern,gVerbose,EPSILON); if (gVerbose) cout << " subtract the trippled pattern with the negative sign" << endl; m -= -3*pattern; ok &= VerifyMatrixValue(m,2*pattern,gVerbose,EPSILON); if (gVerbose) cout << "\nVerify comparison operations when all elems are the same" << endl; m = pattern; R__ASSERT( m == pattern && !(m != pattern) ); R__ASSERT( m > 0 && m >= pattern && m <= pattern ); R__ASSERT( m > -pattern && m >= -pattern ); R__ASSERT( m <= pattern && !(m < pattern) ); m -= 2*pattern; R__ASSERT( m < -pattern/2 && m <= -pattern/2 ); R__ASSERT( m >= -pattern && !(m > -pattern) ); if (gVerbose) cout << "\nVerify comparison operations when not all elems are the same" << endl; m = pattern; m(m.GetRowUpb(),m.GetColUpb()) = pattern-1; R__ASSERT( !(m == pattern) && !(m != pattern) ); R__ASSERT( m != 0 ); // none of elements are 0 R__ASSERT( !(m >= pattern) && m <= pattern && !(m= pattern-1 && !(m>pattern-1) ); if (gVerbose) cout << "\nAssign 2*pattern to m by repeating additions" << endl; m = 0; m += pattern; m += pattern; if (gVerbose) cout << "Assign 2*pattern to m1 by multiplying by two " << endl; m1 = pattern; m1 *= 2; ok &= VerifyMatrixValue(m1,2*pattern,gVerbose,EPSILON); R__ASSERT( m == m1 ); if (gVerbose) cout << "Multiply m1 by one half returning it to the 1*pattern" << endl; m1 *= 1/2.; ok &= VerifyMatrixValue(m1,pattern,gVerbose,EPSILON); if (gVerbose) cout << "\nAssign -pattern to m and m1" << endl; m.Zero(); m -= pattern; m1 = -pattern; ok &= VerifyMatrixValue(m,-pattern,gVerbose,EPSILON); R__ASSERT( m == m1 ); if (gVerbose) cout << "m = sqrt(sqr(m)); m1 = abs(m1); Now m and m1 have to be the same" << endl; m.Sqr(); ok &= VerifyMatrixValue(m,pattern*pattern,gVerbose,EPSILON); m.Sqrt(); ok &= VerifyMatrixValue(m,pattern,gVerbose,EPSILON); m1.Abs(); ok &= VerifyMatrixValue(m1,pattern,gVerbose,EPSILON); ok &= VerifyMatrixIdentity(m,m1,gVerbose,EPSILON); if (gVerbose) cout << "\nCheck out to see that sin^2(x) + cos^2(x) = 1" << endl; { #ifndef __CINT__ FillMatrix f(m); m.Apply(f); #else for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) for (Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) m(i,j) = 4*TMath::Pi()/m.GetNoElements() * (i*m.GetNcols()+j); #endif } m1 = m; { #ifndef __CINT__ ApplyFunction s(&TMath::Sin); ApplyFunction c(&TMath::Cos); m.Apply(s); m1.Apply(c); #else for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) { for (Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) { m(i,j) = TMath::Sin(m(i,j)); m1(i,j) = TMath::Cos(m1(i,j)); } } #endif } m.Sqr(); m1.Sqr(); m += m1; ok &= VerifyMatrixValue(m,1.,gVerbose,EPSILON); if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(3,"Uniform matrix operations",ok); } // //------------------------------------------------------------------------ // Test binary matrix element-by-element operations // void stress_binary_ebe_op(Int_t rsize, Int_t csize) { if (gVerbose) cout << "\n---> Test Binary Matrix element-by-element operations" << endl; Bool_t ok = kTRUE; const double pattern = 4.25; TMatrixD m(2,rsize+1,0,csize-1); TMatrixD m1(TMatrixD::kZero,m); TMatrixD mp(TMatrixD::kZero,m); { for (Int_t i = mp.GetRowLwb(); i <= mp.GetRowUpb(); i++) for (Int_t j = mp.GetColLwb(); j <= mp.GetColUpb(); j++) mp(i,j) = (i-m.GetNrows()/2.)*j*pattern; } if (gVerbose) cout << "\nVerify assignment of a matrix to the matrix" << endl; m = pattern; m1.Zero(); m1 = m; ok &= VerifyMatrixValue(m1,pattern,gVerbose,EPSILON); R__ASSERT( m1 == m ); if (gVerbose) cout << "\nAdding the matrix to itself, uniform pattern " << pattern << endl; m.Zero(); m = pattern; m1 = m; m1 += m1; ok &= VerifyMatrixValue(m1,2*pattern,gVerbose,EPSILON); if (gVerbose) cout << " subtracting two matrices ..." << endl; m1 -= m; ok &= VerifyMatrixValue(m1,pattern,gVerbose,EPSILON); if (gVerbose) cout << " subtracting the matrix from itself" << endl; m1 -= m1; ok &= VerifyMatrixValue(m1,0.,gVerbose,EPSILON); if (gVerbose) cout << " adding two matrices together" << endl; m1 += m; ok &= VerifyMatrixValue(m1,pattern,gVerbose,EPSILON); if (gVerbose) { cout << "\nArithmetic operations on matrices with not the same elements" << endl; cout << " adding mp to the zero matrix..." << endl; } m.Zero(); m += mp; ok &= VerifyMatrixIdentity(m,mp,gVerbose,EPSILON); m1 = m; if (gVerbose) cout << " making m = 3*mp and m1 = 3*mp, via add() and succesive mult" << endl; Add(m,2.,mp); m1 += m1; m1 += mp; ok &= VerifyMatrixIdentity(m,m1,gVerbose,EPSILON); if (gVerbose) cout << " clear both m and m1, by subtracting from itself and via add()" << endl; m1 -= m1; Add(m,-3.,mp); ok &= VerifyMatrixIdentity(m,m1,gVerbose,EPSILON); if (gVerbose) { cout << "\nTesting element-by-element multiplications and divisions" << endl; cout << " squaring each element with sqr() and via multiplication" << endl; } m = mp; m1 = mp; m.Sqr(); ElementMult(m1,m1); ok &= VerifyMatrixIdentity(m,m1,gVerbose,EPSILON); if (gVerbose) cout << " compare (m = pattern^2)/pattern with pattern" << endl; m = pattern; m1 = pattern; m.Sqr(); ElementDiv(m,m1); ok &= VerifyMatrixValue(m,pattern,gVerbose,EPSILON); if (gVerbose) Compare(m1,m); if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(4,"Binary Matrix element-by-element operations",ok); } // //------------------------------------------------------------------------ // Verify matrix transposition // void stress_transposition(Int_t msize) { if (gVerbose) { cout << "\n---> Verify matrix transpose " "for matrices of a characteristic size " << msize << endl; } Bool_t ok = kTRUE; { if (gVerbose) cout << "\nCheck to see that a square UnitMatrix stays the same"; TMatrixD m(msize,msize); m.UnitMatrix(); TMatrixD mt(TMatrixD::kTransposed,m); ok &= ( m == mt ) ? kTRUE : kFALSE; } { if (gVerbose) cout << "\nTest a non-square UnitMatrix"; TMatrixD m(msize,msize+1); m.UnitMatrix(); TMatrixD mt(TMatrixD::kTransposed,m); R__ASSERT(m.GetNrows() == mt.GetNcols() && m.GetNcols() == mt.GetNrows() ); for (Int_t i = m.GetRowLwb(); i <= TMath::Min(m.GetRowUpb(),m.GetColUpb()); i++) for (Int_t j = m.GetColLwb(); j <= TMath::Min(m.GetRowUpb(),m.GetColUpb()); j++) ok &= ( m(i,j) == mt(i,j) ) ? kTRUE : kFALSE; } { if (gVerbose) cout << "\nCheck to see that a symmetric (Hilbert)Matrix stays the same"; TMatrixD m = THilbertMatrixD(msize,msize); TMatrixD mt(TMatrixD::kTransposed,m); ok &= ( m == mt ) ? kTRUE : kFALSE; } { if (gVerbose) cout << "\nCheck transposing a non-symmetric matrix"; TMatrixD m = THilbertMatrixD(msize+1,msize); m(1,2) = TMath::Pi(); TMatrixD mt(TMatrixD::kTransposed,m); R__ASSERT(m.GetNrows() == mt.GetNcols() && m.GetNcols() == mt.GetNrows()); R__ASSERT(mt(2,1) == (Double_t)TMath::Pi() && mt(1,2) != (Double_t)TMath::Pi()); R__ASSERT(mt[2][1] == (Double_t)TMath::Pi() && mt[1][2] != (Double_t)TMath::Pi()); if (gVerbose) cout << "\nCheck double transposing a non-symmetric matrix" << endl; TMatrixD mtt(TMatrixD::kTransposed,mt); ok &= ( m == mtt ) ? kTRUE : kFALSE; } if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(5,"Matrix transposition",ok); } // //------------------------------------------------------------------------ // Test special matrix creation // class MakeHilbert : public TElementPosActionD { void Operation(Double_t &element) const { element = 1./(fI+fJ+1); } public: MakeHilbert() { } }; #ifndef __CINT__ class TestUnit : public TElementPosActionD { mutable Int_t fIsUnit; void Operation(Double_t &element) const { if (fIsUnit) fIsUnit = ((fI==fJ) ? (element == 1.0) : (element == 0)); } public: TestUnit() : fIsUnit(0==0) { } Int_t is_indeed_unit() const { return fIsUnit; } }; #else Bool_t is_indeed_unit(TMatrixD &m) { Bool_t isUnit = kTRUE; for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) for (Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) { if (isUnit) isUnit = ((i==j) ? (m(i,j) == 1.0) : (m(i,j) == 0)); } return isUnit; } #endif void stress_special_creation(Int_t dim) { if (gVerbose) cout << "\n---> Check creating some special matrices of dimension " << dim << endl; Int_t j; Bool_t ok = kTRUE; { if (gVerbose) cout << "\ntest creating Hilbert matrices" << endl; TMatrixD m = THilbertMatrixD(dim+1,dim); TMatrixD m1(TMatrixD::kZero,m); ok &= ( !(m == m1) ) ? kTRUE : kFALSE; ok &= ( m != 0 ) ? kTRUE : kFALSE; #ifndef __CINT__ MakeHilbert mh; m1.Apply(mh); #else for (Int_t i = m1.GetRowLwb(); i <= m1.GetRowUpb(); i++) for (j = m1.GetColLwb(); j <= m1.GetColUpb(); j++) m1(i,j) = 1./(i+j+1); #endif ok &= ( m1 != 0 ) ? kTRUE : kFALSE; ok &= ( m == m1 ) ? kTRUE : kFALSE; } { if (gVerbose) cout << "test creating zero matrix and copy constructor" << endl; TMatrixD m = THilbertMatrixD(dim,dim+1); ok &= ( m != 0 ) ? kTRUE : kFALSE; TMatrixD m1(m); // Applying the copy constructor ok &= ( m1 == m ) ? kTRUE : kFALSE; TMatrixD m2(TMatrixD::kZero,m); ok &= ( m2 == 0 ) ? kTRUE : kFALSE; ok &= ( m != 0 ) ? kTRUE : kFALSE; } { if (gVerbose) cout << "test creating unit matrices" << endl; TMatrixD m(dim,dim); #ifndef __CINT__ { TestUnit test_unit; m.Apply(test_unit); ok &= ( !test_unit.is_indeed_unit() ) ? kTRUE : kFALSE; } #else ok &= ( !is_indeed_unit(m) ) ? kTRUE : kFALSE; #endif m.UnitMatrix(); #ifndef __CINT__ { TestUnit test_unit; m.Apply(test_unit); ok &= ( test_unit.is_indeed_unit() ) ? kTRUE : kFALSE; } #else ok &= ( is_indeed_unit(m) ) ? kTRUE : kFALSE; #endif m.ResizeTo(dim-1,dim); TMatrixD m2(TMatrixD::kUnit,m); #ifndef __CINT__ { TestUnit test_unit; m2.Apply(test_unit); ok &= ( test_unit.is_indeed_unit() ) ? kTRUE : kFALSE; } #else ok &= ( is_indeed_unit(m2) ) ? kTRUE : kFALSE; #endif m.ResizeTo(dim,dim-2); m.UnitMatrix(); #ifndef __CINT__ { TestUnit test_unit; m.Apply(test_unit); ok &= ( test_unit.is_indeed_unit() ) ? kTRUE : kFALSE; } #else ok &= ( is_indeed_unit(m) ) ? kTRUE : kFALSE; #endif } { if (gVerbose) cout << "check to see that Haar matrix has *exactly* orthogonal columns" << endl; const Int_t order = 5; const TMatrixD haar = THaarMatrixD(order); ok &= ( haar.GetNrows() == (1< Check making/forcing promises, (lazy)matrices of dimension " << dim << endl; Bool_t ok = kTRUE; { if (gVerbose) cout << "\nmake a promise and force it by a constructor" << endl; TMatrixD m = hilbert_matrix_promise(dim,dim+1); TMatrixD m1 = THilbertMatrixD(dim,dim+1); ok &= VerifyMatrixIdentity(m,m1,gVerbose,EPSILON); } { if (gVerbose) cout << "make a promise and force it by an assignment" << endl; TMatrixD m(-1,dim,0,dim); m = hilbert_matrix_promise(-1,dim,0,dim); TMatrixD m1 = THilbertMatrixD(-1,dim,0,dim); ok &= VerifyMatrixIdentity(m,m1,gVerbose,EPSILON); } if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(7,"Matrix promises",ok); } // //------------------------------------------------------------------------ // Verify the norm calculation // void stress_norms(Int_t rsize,Int_t csize) { if (gVerbose) cout << "\n---> Verify norm calculations" << endl; Bool_t ok = kTRUE; const double pattern = 10.25; if (rsize % 2 == 1 || csize %2 == 1) Fatal("stress_norms","Sorry, size of the matrix to test must be even for this test\n"); TMatrixD m(rsize,csize); if (gVerbose) cout << "\nAssign " << pattern << " to all the elements and check norms" << endl; m = pattern; if (gVerbose) cout << " 1. (col) norm should be pattern*nrows" << endl; ok &= ( m.Norm1() == pattern*m.GetNrows() ) ? kTRUE : kFALSE; ok &= ( m.Norm1() == m.ColNorm() ) ? kTRUE : kFALSE; if (gVerbose) cout << " Inf (row) norm should be pattern*ncols" << endl; ok &= ( m.NormInf() == pattern*m.GetNcols() ) ? kTRUE : kFALSE; ok &= ( m.NormInf() == m.RowNorm() ) ? kTRUE : kFALSE; if (gVerbose) cout << " Square of the Eucl norm has got to be pattern^2 * no_elems" << endl; ok &= ( m.E2Norm() == (pattern*pattern)*m.GetNoElements() ) ? kTRUE : kFALSE; TMatrixD m1(TMatrixD::kZero,m); ok &= ( m.E2Norm() == E2Norm(m,m1) ) ? kTRUE : kFALSE; if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(8,"Matrix Norms",ok); } // //------------------------------------------------------------------------ // Verify the determinant evaluation // void stress_determinant(Int_t msize) { if (gVerbose) cout << "\n---> Verify determinant evaluation for a square matrix of size " << msize << endl; Bool_t ok = kTRUE; TMatrixD m(msize,msize); const double pattern = 2.5; if (gVerbose) cout << "\nCheck to see that the determinant of the unit matrix is one"; m.UnitMatrix(); if (gVerbose) cout << "\n determinant is " << m.Determinant(); ok &= ( m.Determinant() == 1 ) ? kTRUE : kFALSE; if (gVerbose) cout << "\nCheck the determinant for the matrix with " << pattern << " at the diagonal"; { for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) for (Int_t j = m.GetColLwb(); j <= m.GetColUpb(); j++) m(i,j) = ( i==j ? pattern : 0 ); } if (gVerbose) cout << "\n determinant is " << m.Determinant() << " should be " << TMath::Power(pattern,(double)m.GetNrows()) < Verify matrix multiplications " "for matrices of the characteristic size " << msize << endl; const Double_t epsilon = EPSILON*msize/100; Int_t i,j; Bool_t ok = kTRUE; { if (gVerbose) cout << "\nTest inline multiplications of the UnitMatrix" << endl; TMatrixD m = THilbertMatrixD(-1,msize,-1,msize); TMatrixD u(TMatrixD::kUnit,m); m(3,1) = TMath::Pi(); u *= m; ok &= VerifyMatrixIdentity(u,m,gVerbose,epsilon); } { if (gVerbose) cout << "Test inline multiplications by a DiagMat" << endl; TMatrixD m = THilbertMatrixD(msize+3,msize); m(1,3) = TMath::Pi(); TVectorD v(msize); for (i = v.GetLwb(); i <= v.GetUpb(); i++) v(i) = 1+i; TMatrixD diag(msize,msize); TMatrixDDiag d = TMatrixDDiag(diag); d = v; TMatrixD eth = m; for (i = eth.GetRowLwb(); i <= eth.GetRowUpb(); i++) for (j = eth.GetColLwb(); j <= eth.GetColUpb(); j++) eth(i,j) *= v(j); m *= diag; ok &= VerifyMatrixIdentity(m,eth,gVerbose,epsilon); } { if (gVerbose) cout << "Test XPP = X where P is a permutation matrix" << endl; TMatrixD m = THilbertMatrixD(msize-1,msize); m(2,3) = TMath::Pi(); TMatrixD eth = m; TMatrixD p(msize,msize); for (i = p.GetRowLwb(); i <= p.GetRowUpb(); i++) p(p.GetRowUpb()+p.GetRowLwb()-i,i) = 1; m *= p; m *= p; ok &= VerifyMatrixIdentity(m,eth,gVerbose,epsilon); } { if (gVerbose) cout << "Test general matrix multiplication through inline mult" << endl; TMatrixD m = THilbertMatrixD(msize-2,msize); m(3,3) = TMath::Pi(); TMatrixD mt(TMatrixD::kTransposed,m); TMatrixD p = THilbertMatrixD(msize,msize); TMatrixDDiag(p) += 1; TMatrixD mp(m,TMatrixD::kMult,p); TMatrixD m1 = m; m *= p; ok &= VerifyMatrixIdentity(m,mp,gVerbose,epsilon); TMatrixD mp1(mt,TMatrixD::kTransposeMult,p); VerifyMatrixIdentity(m,mp1,gVerbose,epsilon); ok &= ( !(m1 == m) ); TMatrixD mp2(TMatrixD::kZero,m1); ok &= ( mp2 == 0 ); mp2.Mult(m1,p); ok &= VerifyMatrixIdentity(m,mp2,gVerbose,epsilon); if (gVerbose) cout << "Test XP=X*P vs XP=X;XP*=P" << endl; TMatrixD mp3 = m1*p; ok &= VerifyMatrixIdentity(m,mp3,gVerbose,epsilon); } { if (gVerbose) cout << "Check to see UU' = U'U = E when U is the Haar matrix" << endl; const Int_t order = 5; const Int_t no_sub_cols = (1< Verify symmetric matrix multiplications " "for matrices of the characteristic size " << msize << endl; Bool_t ok = kTRUE; Int_t i,j; const Double_t epsilon = EPSILON*msize/100; { if (gVerbose) cout << "\nTest inline multiplications of the UnitMatrix" << endl; TMatrixD m = THilbertMatrixD(-1,msize,-1,msize); TMatrixDSym m_sym(-1,msize,m.GetMatrixArray()); TMatrixDSym u(TMatrixDSym::kUnit,m_sym); TMatrixD u2 = u * m_sym; ok &= VerifyMatrixIdentity(u2,m_sym,gVerbose,epsilon); } if (ok) { if (gVerbose) cout << "\nTest symmetric multiplications" << endl; { if (gVerbose) cout << "\n Test m * m_sym == m_sym * m == m_sym * m_sym multiplications" << endl; TMatrixD m = THilbertMatrixD(-1,msize,-1,msize); TMatrixDSym m_sym(-1,msize,m.GetMatrixArray()); TMatrixD mm = m * m; TMatrixD mm_sym1 = m_sym * m_sym; TMatrixD mm_sym2 = m * m_sym; TMatrixD mm_sym3 = m_sym * m; ok &= VerifyMatrixIdentity(mm,mm_sym1,gVerbose,epsilon); ok &= VerifyMatrixIdentity(mm,mm_sym2,gVerbose,epsilon); ok &= VerifyMatrixIdentity(mm,mm_sym3,gVerbose,epsilon); } { if (gVerbose) cout << "\n Test n * m_sym == n * m multiplications" << endl; TMatrixD n = THilbertMatrixD(-1,msize,-1,msize); TMatrixD m = n; n(1,3) = TMath::Pi(); n(3,1) = TMath::Pi(); TMatrixDSym m_sym(-1,msize,m.GetMatrixArray()); TMatrixD nm1 = n * m_sym; TMatrixD nm2 = n * m; ok &= VerifyMatrixIdentity(nm1,nm2,gVerbose,epsilon); } } if (ok) { if (gVerbose) cout << "Test inline multiplications by a DiagMatrix" << endl; TMatrixDSym m = THilbertMatrixDSym(msize); m(1,3) = TMath::Pi(); m(3,1) = TMath::Pi(); TVectorD v(msize); for (i = v.GetLwb(); i <= v.GetUpb(); i++) v(i) = 1+i; TMatrixDSym diag(msize); TMatrixDDiag d(diag); d = v; TMatrixDSym eth = m; for (i = eth.GetRowLwb(); i <= eth.GetRowUpb(); i++) for (j = eth.GetColLwb(); j <= eth.GetColUpb(); j++) eth(i,j) *= v(j); TMatrixD m2 = m * diag; ok &= VerifyMatrixIdentity(m2,eth,gVerbose,epsilon); } if (ok) { if (gVerbose) cout << "Test XPP = X where P is a permutation matrix" << endl; TMatrixDSym m = THilbertMatrixDSym(msize); m(2,3) = TMath::Pi(); m(3,2) = TMath::Pi(); TMatrixDSym eth = m; TMatrixDSym p(msize); for (i = p.GetRowLwb(); i <= p.GetRowUpb(); i++) p(p.GetRowUpb()+p.GetRowLwb()-i,i) = 1; TMatrixD m2 = m * p; m2 *= p; ok &= VerifyMatrixIdentity(m2,eth,gVerbose,epsilon); } if (ok) { if (gVerbose) cout << "Test general matrix multiplication through inline mult" << endl; TMatrixDSym m = THilbertMatrixDSym(msize); m(2,3) = TMath::Pi(); m(3,2) = TMath::Pi(); TMatrixDSym mt(TMatrixDSym::kTransposed,m); TMatrixDSym p = THilbertMatrixDSym(msize); TMatrixDDiag(p) += 1; TMatrixD mp(m,TMatrixD::kMult,p); TMatrixDSym m1 = m; TMatrixD m3(m,TMatrixD::kMult,p); memcpy(m.GetMatrixArray(),m3.GetMatrixArray(),msize*msize*sizeof(Double_t)); ok &= VerifyMatrixIdentity(m,mp,gVerbose,epsilon); TMatrixD mp1(mt,TMatrixD::kTransposeMult,p); ok &= VerifyMatrixIdentity(m,mp1,gVerbose,epsilon); ok &= ( !(m1 == m) ) ? kTRUE : kFALSE; TMatrixDSym mp2(TMatrixDSym::kZero,m); ok &= ( mp2 == 0 ) ? kTRUE : kFALSE; if (gVerbose) cout << "Test XP=X*P vs XP=X;XP*=P" << endl; TMatrixD mp3 = m1*p; ok &= VerifyMatrixIdentity(m,mp3,gVerbose,epsilon); } if (ok) { if (gVerbose) cout << "Check to see UU' = U'U = E when U is the Haar matrix" << endl; { const Int_t order = 5; const Int_t no_sub_cols = (1< Verify vector-matrix multiplications " "for matrices of the characteristic size " << msize << endl; const Double_t epsilon = EPSILON*msize/100; Bool_t ok = kTRUE; { if (gVerbose) cout << "\nCheck shrinking a vector by multiplying by a non-sq unit matrix" << endl; TVectorD vb(-2,msize); for (Int_t i = vb.GetLwb(); i <= vb.GetUpb(); i++) vb(i) = TMath::Pi()-i; ok &= ( vb != 0 ) ? kTRUE : kFALSE; TMatrixD mc(1,msize-2,-2,msize); // contracting matrix mc.UnitMatrix(); TVectorD v1 = vb; TVectorD v2 = vb; v1 *= mc; v2.ResizeTo(1,msize-2); ok &= VerifyVectorIdentity(v1,v2,gVerbose,epsilon); } { if (gVerbose) cout << "Check expanding a vector by multiplying by a non-sq unit matrix" << endl; TVectorD vb(msize); for (Int_t i = vb.GetLwb(); i <= vb.GetUpb(); i++) vb(i) = TMath::Pi()+i; ok &= ( vb != 0 ) ? kTRUE : kFALSE; TMatrixD me(2,msize+5,0,msize-1); // expanding matrix me.UnitMatrix(); TVectorD v1 = vb; TVectorD v2 = vb; v1 *= me; v2.ResizeTo(v1); ok &= VerifyVectorIdentity(v1,v2,gVerbose,epsilon); } { if (gVerbose) cout << "Check general matrix-vector multiplication" << endl; TVectorD vb(msize); for (Int_t i = vb.GetLwb(); i <= vb.GetUpb(); i++) vb(i) = TMath::Pi()+i; TMatrixD vm(msize,1); TMatrixDColumn(vm,0) = vb; TMatrixD m = THilbertMatrixD(0,msize,0,msize-1); vb *= m; ok &= ( vb.GetLwb() == 0 ) ? kTRUE : kFALSE; TMatrixD mvm(m,TMatrixD::kMult,vm); TMatrixD mvb(msize+1,1); TMatrixDColumn(mvb,0) = vb; ok &= VerifyMatrixIdentity(mvb,mvm,gVerbose,epsilon); } if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(12,"Matrix Vector Multiplications",ok); } // //------------------------------------------------------------------------ // Verify matrix inversion // void stress_inversion(Int_t msize) { if (gVerbose) cout << "\n---> Verify matrix inversion for square matrices of size " << msize << endl; const Double_t epsilon = EPSILON*msize/10; Bool_t ok = kTRUE; { if (gVerbose) cout << "\nTest inversion of a diagonal matrix" << endl; TMatrixD m(-1,msize,-1,msize); TMatrixD mi(TMatrixD::kZero,m); for (Int_t i = m.GetRowLwb(); i <= m.GetRowUpb(); i++) mi(i,i) = 1/(m(i,i)=i-m.GetRowLwb()+1); TMatrixD mi1(TMatrixD::kInverted,m); m.Invert(); ok &= VerifyMatrixIdentity(m,mi,gVerbose,epsilon); ok &= VerifyMatrixIdentity(mi1,mi,gVerbose,epsilon); } { if (gVerbose) cout << "Test inversion of an orthonormal (Haar) matrix" << endl; TMatrixD m = THaarMatrixD(3); TMatrixD morig = m; TMatrixD mt(TMatrixD::kTransposed,m); double det = -1; // init to a wrong val to see if it's changed m.Invert(&det); ok &= ( TMath::Abs(det-1) <= msize*epsilon ) ? kTRUE : kFALSE; ok &= VerifyMatrixIdentity(m,mt,gVerbose,epsilon); TMatrixD mti(TMatrixD::kInverted,mt); ok &= VerifyMatrixIdentity(mti,morig,gVerbose,msize*epsilon); } { if (gVerbose) cout << "Test inversion of a good matrix with diagonal dominance" << endl; TMatrixD m = THilbertMatrixD(msize,msize); TMatrixDDiag(m) += 1; TMatrixD morig = m; Double_t det_inv = 0; const Double_t det_comp = m.Determinant(); m.Invert(&det_inv); if (gVerbose) { cout << "\tcomputed determinant " << det_comp << endl; cout << "\tdeterminant returned by Invert() " << det_inv << endl; } if (gVerbose) cout << "\tcheck to see M^(-1) * M is E" << endl; TMatrixD mim(m,TMatrixD::kMult,morig); TMatrixD unit(TMatrixD::kUnit,m); ok &= VerifyMatrixIdentity(mim,unit,gVerbose,epsilon); if (gVerbose) cout << "\tcheck to see M * M^(-1) is E" << endl; TMatrixD mmi = morig; mmi *= m; ok &= VerifyMatrixIdentity(mmi,unit,gVerbose,epsilon); } if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(13,"Matrix Inversion",ok); } // //------------------------------------------------------------------------ // Test matrix I/O // void stress_matrix_io() { if (gVerbose) cout << "\n---> Test matrix I/O" << endl; Bool_t ok = kTRUE; const double pattern = TMath::Pi(); TMatrixD m(40,40); m = pattern; if (gVerbose) cout << "\nWrite matrix m to database" << endl; TFile *f = new TFile("vmatrix.root", "RECREATE"); m.Write("m"); if (gVerbose) cout << "\nClose database" << endl; delete f; if (gVerbose) cout << "\nOpen database in read-only mode and read matrix" << endl; TFile *f1 = new TFile("vmatrix.root"); TMatrixD *mr = (TMatrixD*) f1->Get("m"); if (gVerbose) cout << "\nRead matrix should be same as original still in memory" << endl; ok &= ((*mr) == m) ? kTRUE : kFALSE; delete f1; if (gVerbose) cout << "\nDone\n" << endl; StatusPrint(14,"Matrix Persistence",ok); }