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| 2 | //#define WANT_STREAM |
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| 3 | #define WANT_MATH |
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| 4 | |
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| 5 | |
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| 6 | #include "include.h" |
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| 7 | |
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| 8 | #include "newmatap.h" |
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| 9 | |
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| 10 | #include "tmt.h" |
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| 11 | |
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| 12 | #ifdef use_namespace |
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| 13 | using namespace NEWMAT; |
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| 14 | #endif |
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| 15 | |
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| 16 | |
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| 17 | /**************************** test program ******************************/ |
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| 18 | |
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| 19 | |
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| 20 | // slow sort program |
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| 21 | |
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| 22 | static void SimpleSortDescending(Real* first, const int length) |
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| 23 | { |
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| 24 | int i = length; |
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| 25 | while (--i) |
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| 26 | { |
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| 27 | Real x = *first; Real* f = first; Real* g = f; |
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| 28 | int j = i; |
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| 29 | while (j--) if (x < *(++f)) { g = f; x = *g; } |
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| 30 | *g = *first; *first++ = x; |
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| 31 | } |
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| 32 | } |
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| 33 | |
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| 34 | static void TestSort(int n) |
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| 35 | { |
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| 36 | // make some data |
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| 37 | RowVector X(n); |
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| 38 | int i; |
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| 39 | for (i = 1; i <= n; i++) |
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| 40 | X(i) = sin((Real)i) + 0.3 * cos(i/5.0) - 0.6 * sin(i/7.0) + 0.2 * sin(2.0 * i); |
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| 41 | RowVector X_Sorted = X; SimpleSortDescending(X_Sorted.Store(), n); |
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| 42 | RowVector A = X + X.Reverse(); SimpleSortDescending(A.Store(), n); |
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| 43 | |
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| 44 | // test descending sort |
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| 45 | |
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| 46 | RowVector Y = X; SortDescending(Y); Y -= X_Sorted; Print(Y); |
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| 47 | Y = X_Sorted; SortDescending(Y); Y -= X_Sorted; Print(Y); |
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| 48 | Y = X_Sorted.Reverse(); SortDescending(Y); Y -= X_Sorted; Print(Y); |
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| 49 | Y = X + X.Reverse(); SortDescending(Y); Y -= A; Print(Y); |
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| 50 | |
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| 51 | // test ascending sort |
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| 52 | |
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| 53 | Y = X; SortAscending(Y); Y -= X_Sorted.Reverse(); Print(Y); |
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| 54 | Y = X_Sorted; SortAscending(Y); Y -= X_Sorted.Reverse(); Print(Y); |
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| 55 | Y = X_Sorted.Reverse(); SortAscending(Y); Y -= X_Sorted.Reverse(); Print(Y); |
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| 56 | Y = X + X.Reverse(); SortAscending(Y); Y -= A.Reverse(); Print(Y); |
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| 57 | } |
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| 58 | |
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| 59 | |
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| 60 | void trymat6() |
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| 61 | { |
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| 62 | Tracer et("Sixth test of Matrix package"); |
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| 63 | Tracer::PrintTrace(); |
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| 64 | |
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| 65 | int i,j; |
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| 66 | |
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| 67 | |
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| 68 | DiagonalMatrix D(6); |
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| 69 | UpperTriangularMatrix U(6); |
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| 70 | for (i=1;i<=6;i++) { for (j=i;j<=6;j++) U(i,j)=i*i*i-50; D(i,i)=i*i+i-10; } |
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| 71 | LowerTriangularMatrix L=(U*3.0).t(); |
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| 72 | SymmetricMatrix S(6); |
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| 73 | for (i=1;i<=6;i++) for (j=i;j<=6;j++) S(i,j)=i*i+2.0+j; |
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| 74 | Matrix MD=D; Matrix ML=L; Matrix MU=U; Matrix MS=S; |
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| 75 | Matrix M(6,6); |
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| 76 | for (i=1;i<=6;i++) for (j=1;j<=6;j++) M(i,j)=i*j+i*i-10.0; |
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| 77 | { |
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| 78 | Tracer et1("Stage 1"); |
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| 79 | Print(Matrix(MS+(-MS))); |
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| 80 | Print(Matrix((S+M)-(MS+M))); |
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| 81 | Print(Matrix((M+U)-(M+MU))); |
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| 82 | Print(Matrix((M+L)-(M+ML))); |
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| 83 | } |
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| 84 | { |
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| 85 | Tracer et1("Stage 2"); |
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| 86 | Print(Matrix((M+D)-(M+MD))); |
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| 87 | Print(Matrix((U+D)-(MU+MD))); |
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| 88 | Print(Matrix((D+L)-(ML+MD))); |
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| 89 | Print(Matrix((-U+D)+MU-MD)); |
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| 90 | Print(Matrix((-L+D)+ML-MD)); |
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| 91 | } |
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| 92 | { |
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| 93 | Tracer et1("Stage 3 - concatenate"); |
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| 94 | RowVector A(5); |
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| 95 | A << 1 << 2 << 3 << 4 << 5; |
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| 96 | RowVector B(5); |
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| 97 | B << 3 << 1 << 4 << 1 << 5; |
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| 98 | Matrix C(3,5); |
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| 99 | C << 2 << 3 << 5 << 7 << 11 |
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| 100 | << 13 << 17 << 19 << 23 << 29 |
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| 101 | << 31 << 37 << 41 << 43 << 47; |
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| 102 | Matrix X1 = A & B & C; |
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| 103 | Matrix X2 = (A.t() | B.t() | C.t()).t(); |
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| 104 | Matrix X3(5,5); |
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| 105 | X3.Row(1)=A; X3.Row(2)=B; X3.Rows(3,5)=C; |
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| 106 | Print(Matrix(X1-X2)); |
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| 107 | Print(Matrix(X1-X3)); |
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| 108 | LowerTriangularMatrix LT1; LT1 << (A & B & C); |
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| 109 | UpperTriangularMatrix UT1; UT1 << (A.t() | B.t() | C.t()); |
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| 110 | Print(LowerTriangularMatrix(LT1-UT1.t())); |
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| 111 | DiagonalMatrix D1; D1 << (A.t() | B.t() | C.t()); |
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| 112 | ColumnVector At = A.t(); |
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| 113 | ColumnVector Bt = B.t(); |
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| 114 | Matrix Ct = C.t(); |
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| 115 | LowerTriangularMatrix LT2; LT2 << (At | Bt | Ct); |
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| 116 | UpperTriangularMatrix UT2; UT2 << (At.t() & Bt.t() & Ct.t()); |
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| 117 | Matrix ABt = At | Bt; |
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| 118 | DiagonalMatrix D2; D2 << (ABt | Ct); |
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| 119 | Print(LowerTriangularMatrix(LT2-UT2.t())); |
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| 120 | Print(DiagonalMatrix(D1-D2)); |
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| 121 | Print(Matrix(LT1+UT2-D2-X1)); |
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| 122 | Matrix M1 = LT1 | UT2; Matrix M2 = UT1 & LT2; |
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| 123 | Print(Matrix(M1-M2.t())); |
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| 124 | M1 = UT2 | LT1; M2 = LT2 & UT1; |
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| 125 | Print(Matrix(M1-M2.t())); |
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| 126 | M1 = (LT1 | UT2) & (UT2 | LT1); |
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| 127 | M2 = (UT1 & LT2) | (LT2 & UT1); |
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| 128 | Print(Matrix(M1-M2.t())); |
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| 129 | SymmetricMatrix SM1; SM1 << (M1 + M1.t()); |
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| 130 | SymmetricMatrix SM2; SM2 << ((SM1 | M1) & (M1.t() | SM1)); |
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| 131 | Matrix M3(20,20); |
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| 132 | M3.SubMatrix(1,10,1,10) = SM1; |
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| 133 | M3.SubMatrix(1,10,11,20) = M1; |
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| 134 | M3.SubMatrix(11,20,1,10) = M2; |
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| 135 | M3.SubMatrix(11,20,11,20) = SM1; |
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| 136 | Print(Matrix(M3-SM2)); |
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| 137 | |
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| 138 | SymmetricMatrix SM(15); SM = 0; SM.SymSubMatrix(1,10) = SM1; |
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| 139 | M3.ReSize(15,15); M3 = 0; M3.SubMatrix(1,10,1,10) = SM1; |
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| 140 | M3 -= SM; Print(M3); |
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| 141 | SM = 0; SM.SymSubMatrix(6,15) = SM1; |
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| 142 | M3.ReSize(15,15); M3 = 0; M3.SubMatrix(6,15,6,15) = SM1; |
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| 143 | M3 = M3.t() - SM; Print(M3); |
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| 144 | } |
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| 145 | { |
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| 146 | Tracer et1("Stage 4 - sort"); |
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| 147 | TestSort(1); TestSort(2); TestSort(3); TestSort(4); |
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| 148 | TestSort(15); TestSort(16); TestSort(17); TestSort(18); |
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| 149 | TestSort(99); TestSort(100); TestSort(101); |
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| 150 | } |
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| 151 | |
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| 152 | |
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| 153 | // cout << "\nEnd of sixth test\n"; |
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| 154 | } |
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| 155 | |
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