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1 /*Yet Another Curve Fitting Solution |
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2 |
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3 Obviously this solution produces the same answer |
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4 as examples/cflsq.mod |
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5 |
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6 Nigel_Galloway@operamail.com |
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7 February 1st., 2009 |
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8 */ |
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9 set Sample; |
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10 param Sx {z in Sample}; |
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11 param Sy {z in Sample}; |
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12 |
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13 var a; |
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14 var b; |
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15 |
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16 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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17 equalz2 :sum{z in Sample} a*Sx[z] + sum{z in Sample} b = sum{z in Sample} Sy[z]; |
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18 |
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19 solve; |
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20 |
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21 printf "\nbest linear fit is:\n\ty = %f %s %fx\n\n", b, if a < 0 then "-" else "+", abs(a); |
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22 |
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23 data; |
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24 |
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25 param: |
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26 Sample: Sx Sy := |
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27 1 0 1 |
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28 2 0.5 0.9 |
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29 3 1 0.7 |
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30 4 1.5 1.5 |
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31 5 1.9 2 |
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32 6 2.5 2.4 |
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33 7 3 3.2 |
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34 8 3.5 2 |
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35 9 4 2.7 |
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36 10 4.5 3.5 |
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37 11 5 1 |
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38 12 5.5 4 |
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39 13 6 3.6 |
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40 14 6.6 2.7 |
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41 15 7 5.7 |
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42 16 7.6 4.6 |
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43 17 8.5 6 |
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44 18 9 6.8 |
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45 19 10 7.3 |
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46 ; |
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47 |
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48 end; |