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| Only Reduce is giving values In[7]:= Reduce[{x + y == 25, y == 4 x}, x] Out[7]= y == 20 && x == 5 and In[8]:= Reduce[{x + y == 12, y == 2 x}, {x}] Out[8]= y == 8 && x == 4 |
| If You put all Your variables equal to 1, the the equation equals locally, p1=1, infinity. Numerically You can integrate 0..1 and 1..., but not 0...1.1. Therefore with other real and positive variables the integral is expected to approach infinity. |
| Hi Edson and Mher, I admit that this is not an usual way to do and maybe it is not correct either but You have to train and predict all Your data and guess these values separately in order to enhance the chance to win. When predicting with linear... |
| Please see a followup discussion here: http://community.wolfram.com/groups/-/m/t/1218215 ***Predicting Winning Odds of Italian Serie A Soccer 1934-2017*** |
| Hello, I wonder why the following is not a same? xv1 = Integrate[1/(R^2 + 2 R*a Cos[x - y] + a^2)^2, x, Assumptions -> R > a > 0 && y > 0 && y 2 \[Pi]) - (xv1 /. x -> 0)) // FullSimplify (2 (a^2 + R^2) ArcTan[((a - R) Tan[(x... |
| Transpose[{Flatten@data[[All, 2]]}][[All, 1, 2]] // Total |