author | Alpar Juttner <alpar@cs.elte.hu> |
Sun, 05 Dec 2010 17:35:23 +0100 | |
changeset 2 | 4c8956a7bdf4 |
permissions | -rw-r--r-- |
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/*Yet Another Curve Fitting Solution |
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|
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Obviously this solution produces the same answer |
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as examples/cflsq.mod |
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|
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Nigel_Galloway@operamail.com |
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February 1st., 2009 |
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*/ |
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set Sample; |
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param Sx {z in Sample}; |
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param Sy {z in Sample}; |
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|
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var a; |
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var b; |
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|
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equalz1 :sum{z in Sample} a*Sx[z]*Sx[z] + sum{z in Sample} b*Sx[z] = sum{z in Sample} Sy[z]*Sx[z]; |
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equalz2 :sum{z in Sample} a*Sx[z] + sum{z in Sample} b = sum{z in Sample} Sy[z]; |
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|
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solve; |
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|
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printf "\nbest linear fit is:\n\ty = %f %s %fx\n\n", b, if a < 0 then "-" else "+", abs(a); |
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|
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data; |
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param: |
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Sample: Sx Sy := |
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1 0 1 |
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2 0.5 0.9 |
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3 1 0.7 |
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4 1.5 1.5 |
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5 1.9 2 |
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6 2.5 2.4 |
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7 3 3.2 |
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8 3.5 2 |
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9 4 2.7 |
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10 4.5 3.5 |
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11 5 1 |
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12 5.5 4 |
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13 6 3.6 |
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14 6.6 2.7 |
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15 7 5.7 |
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16 7.6 4.6 |
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17 8.5 6 |
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18 9 6.8 |
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19 10 7.3 |
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; |
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|
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end; |