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Annotation of OpenXM/src/cfep/tests/lineq-4.rtf, Revision 1.1.1.1

1.1       takayama    1: {\rtf1\mac\ansicpg10001\cocoartf824\cocoasubrtf330
                      2: {\fonttbl\f0\fswiss\fcharset77 Helvetica;\f1\fnil\fcharset78 HiraKakuPro-W3;\f2\fnil\fcharset77 Monaco;
                      3: }
                      4: {\colortbl;\red255\green255\blue255;\red106\green117\blue255;}
                      5: \paperw11900\paperh16840\margl1440\margr1440\vieww14600\viewh10420\viewkind0
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                      7:
                      8: \f0\fs24 \cf0 /*
                      9: \f1 \'98\'41\'97\'a7\'95\'fb\'92\'f6\'8e\'ae\'82\'c9\'82\'c2\'82\'a2\'82\'c4\'82\'cc\'83\'76\'83\'8d\'83\'4f\'83\'89\'83\'80\'82\'f0\'8f\'91\'82\'a2\'82\'c4\'83\'65\'83\'58\'83\'67\'82\'c9\'82\'b7\'82\'e9
                     10: \f0 . \
                     11: */\
                     12: \pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\ql\qnatural\pardirnatural
                     13:
                     14: \f2\fs20 \cf0 def gaussE(A,Y) \{\
                     15:   N = size(A)[0];\
                     16:   for (K=1; K<=N-1; K++) \{\
                     17:     for (I=K+1; I<=N; I++) \{\
                     18:       P = A[I-1][K-1]/A[K-1][K-1];\
                     19:       for (J=K; J<=N; J++) \{\
                     20:         A[I-1][J-1] = A[I-1][J-1]-P*A[K-1][J-1];\
                     21:       \}\
                     22:       Y[I-1] = Y[I-1]-P*Y[K-1];\
                     23:     \} \
                     24:     print(A); print(Y); print("----------------");\
                     25:   \}\
                     26: \}\
                     27: \
                     28: def gtest1() \{\
                     29:   A=newmat(3,3,\cf2 [[1,-1,2],[-1,2,-3],[3,1,1]]\cf0 );\
                     30:   Y=newvect(3,[5,-6,8]);\
                     31:   print(A); print(Y); print("----------------");\
                     32:   gaussE(A,Y);\
                     33:   return [A,Y];\
                     34: \}\
                     35: \
                     36: def laplacian(N) \{\
                     37:    A = newmat(N,N);\
                     38:    for (I=0; I<N; I++) \{\
                     39:         if (I > 0) A[I][I-1] = 1;\
                     40:        A[I][I] = -2;\
                     41:           if  (l < N-1) A[I][I+1] = 1;\
                     42:    \}\
                     43:    return A;\
                     44: \}\
                     45: [gtest1(), laplacian(3)];\
                     46: }

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