File: t_FunctionalChaosResult_std.expout

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FunctionalChaosResult
- input dimension=4
- output dimension=1
- distribution dimension=4
- transformation=4 -> 4
- inverse transformation=4 -> 4
- orthogonal basis dimension=4
- indices size=36
- relative errors=[3.53583e-08]
- residuals=[6.29152e-05]

| Index | Multi-index   | Coefficient   |
|-------|---------------|---------------|
|     0 | [0,0,0,0]     | -8.29758      |
|     1 | [1,0,0,0]     | 0.0636641     |
|     2 | [0,1,0,0]     | -0.0337627    |
|     3 | [0,0,1,0]     | 0.584497      |
|     4 | [0,0,0,1]     | -0.00718894   |
|     5 | [2,0,0,0]     | -0.0121294    |
|     6 | [1,1,0,0]     | -0.0104684    |
|     7 | [1,0,1,0]     | 0.00228252    |
|     8 | [1,0,0,1]     | -0.00203856   |
|     9 | [0,2,0,0]     | 0.0110272     |
|    10 | [0,1,1,0]     | -0.00111042   |
|    11 | [0,1,0,1]     | 0.00122769    |
|    12 | [0,0,2,0]     | 0.000548324   |
|    13 | [0,0,1,1]     | -0.00105963   |
|    14 | [0,0,0,2]     | 0.000422835   |
|    15 | [3,0,0,0]     | -0.00153334   |
|    16 | [2,1,0,0]     | 0.00148709    |
|    17 | [1,2,0,0]     | 0.00298486    |
|    18 | [0,3,0,0]     | -0.00342883   |
|    19 | [4,0,0,0]     | -0.00566944   |
|    20 | [2,2,0,0]     | -0.000605201  |
|    21 | [0,2,1,1]     | 0.000126806   |
|    22 | [3,1,0,1]     | -0.000730883  |
|    23 | [0,3,1,1]     | -0.000166572  |
|    24 | [3,2,0,1]     | 0.000572709   |
|    25 | [3,1,1,1]     | -0.000112961  |
|    26 | [2,1,2,1]     | 0.000489981   |
|    27 | [1,5,0,0]     | 0.00089058    |
|    28 | [0,6,0,0]     | -0.00218797   |
|    29 | [0,3,2,1]     | -0.000157835  |
|    30 | [0,3,1,2]     | -0.000416978  |
|    31 | [0,2,1,3]     | 0.000129063   |
|    32 | [3,3,1,0]     | -0.00027597   |
|    33 | [3,3,0,1]     | -0.000322225  |
|    34 | [2,3,2,0]     | 0.000526436   |
|    35 | [2,2,2,1]     | 0.000109233   |

<ul>
  <li>input dimension: 4</li>
  <li>output dimension: 1</li>
  <li>distribution dimension: 4</li>
  <li>transformation: 4 -> 4</li>
  <li>inverse transformation: 4 -> 4</li>
  <li>orthogonal basis dimension: 4</li>
  <li>indices size: 36</li>
  <li>relative errors: [3.53583e-08]</li>
  <li>residuals: [6.29152e-05]</li>
</ul>
<table>
  <tr>
    <th>Index</th>
    <th>Multi-index</th>
    <th>Coeff.</th>
  </tr>
  <tr>
    <th>0</th>
    <td>[0,0,0,0]</td>
    <td>-8.29758</td>
  </tr>
  <tr>
    <th>1</th>
    <td>[1,0,0,0]</td>
    <td>0.06366408</td>
  </tr>
  <tr>
    <th>2</th>
    <td>[0,1,0,0]</td>
    <td>-0.03376269</td>
  </tr>
  <tr>
    <th>3</th>
    <td>[0,0,1,0]</td>
    <td>0.5844969</td>
  </tr>
  <tr>
    <th>4</th>
    <td>[0,0,0,1]</td>
    <td>-0.007188937</td>
  </tr>
  <tr>
    <th>5</th>
    <td>[2,0,0,0]</td>
    <td>-0.01212942</td>
  </tr>
  <tr>
    <th>6</th>
    <td>[1,1,0,0]</td>
    <td>-0.01046845</td>
  </tr>
  <tr>
    <th>7</th>
    <td>[1,0,1,0]</td>
    <td>0.002282517</td>
  </tr>
  <tr>
    <th>8</th>
    <td>[1,0,0,1]</td>
    <td>-0.00203856</td>
  </tr>
  <tr>
    <th>9</th>
    <td>[0,2,0,0]</td>
    <td>0.01102717</td>
  </tr>
  <tr>
    <th>10</th>
    <td>[0,1,1,0]</td>
    <td>-0.001110419</td>
  </tr>
  <tr>
    <th>11</th>
    <td>[0,1,0,1]</td>
    <td>0.00122769</td>
  </tr>
  <tr>
    <th>12</th>
    <td>[0,0,2,0]</td>
    <td>0.0005483241</td>
  </tr>
  <tr>
    <th>13</th>
    <td>[0,0,1,1]</td>
    <td>-0.001059632</td>
  </tr>
  <tr>
    <th>14</th>
    <td>[0,0,0,2]</td>
    <td>0.0004228353</td>
  </tr>
  <tr>
    <th>15</th>
    <td>[3,0,0,0]</td>
    <td>-0.001533338</td>
  </tr>
  <tr>
    <th>16</th>
    <td>[2,1,0,0]</td>
    <td>0.001487086</td>
  </tr>
  <tr>
    <th>17</th>
    <td>[1,2,0,0]</td>
    <td>0.002984864</td>
  </tr>
  <tr>
    <th>18</th>
    <td>[0,3,0,0]</td>
    <td>-0.003428825</td>
  </tr>
  <tr>
    <th>19</th>
    <td>[4,0,0,0]</td>
    <td>-0.005669443</td>
  </tr>
  <tr>
    <th>20</th>
    <td>[2,2,0,0]</td>
    <td>-0.0006052012</td>
  </tr>
  <tr>
    <th>21</th>
    <td>[0,2,1,1]</td>
    <td>0.0001268058</td>
  </tr>
  <tr>
    <th>22</th>
    <td>[3,1,0,1]</td>
    <td>-0.0007308834</td>
  </tr>
  <tr>
    <th>23</th>
    <td>[0,3,1,1]</td>
    <td>-0.0001665722</td>
  </tr>
  <tr>
    <th>24</th>
    <td>[3,2,0,1]</td>
    <td>0.0005727085</td>
  </tr>
  <tr>
    <th>25</th>
    <td>[3,1,1,1]</td>
    <td>-0.0001129613</td>
  </tr>
  <tr>
    <th>26</th>
    <td>[2,1,2,1]</td>
    <td>0.0004899807</td>
  </tr>
  <tr>
    <th>27</th>
    <td>[1,5,0,0]</td>
    <td>0.0008905801</td>
  </tr>
  <tr>
    <th>28</th>
    <td>[0,6,0,0]</td>
    <td>-0.002187966</td>
  </tr>
  <tr>
    <th>29</th>
    <td>[0,3,2,1]</td>
    <td>-0.0001578355</td>
  </tr>
  <tr>
    <th>30</th>
    <td>[0,3,1,2]</td>
    <td>-0.0004169784</td>
  </tr>
  <tr>
    <th>31</th>
    <td>[0,2,1,3]</td>
    <td>0.000129063</td>
  </tr>
  <tr>
    <th>32</th>
    <td>[3,3,1,0]</td>
    <td>-0.0002759699</td>
  </tr>
  <tr>
    <th>33</th>
    <td>[3,3,0,1]</td>
    <td>-0.0003222245</td>
  </tr>
  <tr>
    <th>34</th>
    <td>[2,3,2,0]</td>
    <td>0.000526436</td>
  </tr>
  <tr>
    <th>35</th>
    <td>[2,2,2,1]</td>
    <td>0.0001092328</td>
  </tr>
</table>

FunctionalChaosResult
- input dimension=4
- output dimension=1
- distribution dimension=4
- transformation=4 -> 4
- inverse transformation=4 -> 4
- orthogonal basis dimension=4
- indices size=36
- relative errors=[3.53583e-08]
- residuals=[6.29152e-05]

| Index | Multi-index   | Coefficient   |
|-------|---------------|---------------|
|     0 | [0,0,0,0]     | -8.29758      |
|     1 | [1,0,0,0]     | 0.0636641     |
|     2 | [0,1,0,0]     | -0.0337627    |
|     3 | [0,0,1,0]     | 0.584497      |
|     4 | [0,0,0,1]     | -0.00718894   |
|     5 | [2,0,0,0]     | -0.0121294    |
|     6 | [1,1,0,0]     | -0.0104684    |
|     7 | [1,0,1,0]     | 0.00228252    |
|     8 | [1,0,0,1]     | -0.00203856   |
|     9 | [0,2,0,0]     | 0.0110272     |
|    10 | [0,1,1,0]     | -0.00111042   |
|    11 | [0,1,0,1]     | 0.00122769    |
|    12 | [0,0,2,0]     | 0.000548324   |
|    13 | [0,0,1,1]     | -0.00105963   |
|    14 | [0,0,0,2]     | 0.000422835   |
|    15 | [3,0,0,0]     | -0.00153334   |
|    16 | [2,1,0,0]     | 0.00148709    |
|    17 | [1,2,0,0]     | 0.00298486    |
|    18 | [0,3,0,0]     | -0.00342883   |
|    19 | [4,0,0,0]     | -0.00566944   |
|    20 | [2,2,0,0]     | -0.000605201  |
|    21 | [0,2,1,1]     | 0.000126806   |
|    22 | [3,1,0,1]     | -0.000730883  |
|    23 | [0,3,1,1]     | -0.000166572  |
|    24 | [3,2,0,1]     | 0.000572709   |
|    25 | [3,1,1,1]     | -0.000112961  |
|    26 | [2,1,2,1]     | 0.000489981   |
|    27 | [1,5,0,0]     | 0.00089058    |
|    28 | [0,6,0,0]     | -0.00218797   |
|    29 | [0,3,2,1]     | -0.000157835  |
|    30 | [0,3,1,2]     | -0.000416978  |
|    31 | [0,2,1,3]     | 0.000129063   |
|    32 | [3,3,1,0]     | -0.00027597   |
|    33 | [3,3,0,1]     | -0.000322225  |
|    34 | [2,3,2,0]     | 0.000526436   |
|    35 | [2,2,2,1]     | 0.000109233   |

FunctionalChaosResult
- input dimension=4
- output dimension=20
- distribution dimension=4
- transformation=4 -> 4
- inverse transformation=4 -> 4
- orthogonal basis dimension=4
- indices size=56
- relative errors=[2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.63063e-06,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07]#20
- residuals=[0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000585276,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432]#20

| Index | Multi-index   | Coeff. #0     | Coeff. #1     | Coeff. #2     | ...           | Coeff. #17    | Coeff. #18    | Coeff. #19    |
|-------|---------------|---------------|---------------|---------------|---------------|---------------|---------------|---------------|
|     0 | [0,0,0,0]     | -8.29756      | -7.29756      | -6.29756      | ...           | 8.70243       | 9.70243       | 10.7024       |
|     1 | [1,0,0,0]     | 0.0639501     | 0.0639501     | 0.0639501     | ...           | 0.0640074     | 0.0640074     | 0.0640074     |
|     2 | [0,1,0,0]     | -0.0336704    | -0.0336704    | -0.0336704    | ...           | -0.0336164    | -0.0336164    | -0.0336164    |
| ...   |               |               |               |               | ...           |               |               |               |
|    53 | [1,0,1,5]     | 0             | 0             | 0             | ...           | 0             | 0             | 0             |
|    54 | [1,0,0,6]     | 0             | 0             | 0             | ...           | 0             | 0             | 0             |
|    55 | [0,0,1,6]     | 0             | 0             | 0             | ...           | 0             | 0             | 0             |

<ul>
  <li>input dimension: 4</li>
  <li>output dimension: 20</li>
  <li>distribution dimension: 4</li>
  <li>transformation: 4 -> 4</li>
  <li>inverse transformation: 4 -> 4</li>
  <li>orthogonal basis dimension: 4</li>
  <li>indices size: 56</li>
  <li>relative errors: [2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.63063e-06,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07]#20</li>
  <li>residuals: [0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000585276,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432]#20</li>
</ul>
<table>
  <tr>
    <th>Index</th>
    <th>Multi-index</th>
    <th>Coeff.#0</th>
    <th>Coeff.#1</th>
    <th>Coeff.#2</th>
    <th>...</th>
    <th>Coeff.#17</th>
    <th>Coeff.#18</th>
    <th>Coeff.#19</th>
  </tr>
  <tr>
    <th>0</th>
    <td>[0,0,0,0]</td>
    <td>-8.297564</td>
    <td>-7.297564</td>
    <td>-6.297564</td>
    <td>...</td>
    <td>8.702431</td>
    <td>9.702431</td>
    <td>10.70243</td>
  </tr>
  <tr>
    <th>1</th>
    <td>[1,0,0,0]</td>
    <td>0.06395006</td>
    <td>0.06395006</td>
    <td>0.06395006</td>
    <td>...</td>
    <td>0.06400735</td>
    <td>0.06400735</td>
    <td>0.06400735</td>
  </tr>
  <tr>
    <th>2</th>
    <td>[0,1,0,0]</td>
    <td>-0.03367039</td>
    <td>-0.03367039</td>
    <td>-0.03367039</td>
    <td>...</td>
    <td>-0.03361636</td>
    <td>-0.03361636</td>
    <td>-0.03361636</td>
  </tr>
  <tr>
    <td colspan="9">...</td>
  </tr>
  <tr>
    <th>53</th>
    <td>[1,0,1,5]</td>
    <td>0</td>
    <td>0</td>
    <td>0</td>
    <td>...</td>
    <td>0</td>
    <td>0</td>
    <td>0</td>
  </tr>
  <tr>
    <th>54</th>
    <td>[1,0,0,6]</td>
    <td>0</td>
    <td>0</td>
    <td>0</td>
    <td>...</td>
    <td>0</td>
    <td>0</td>
    <td>0</td>
  </tr>
  <tr>
    <th>55</th>
    <td>[0,0,1,6]</td>
    <td>0</td>
    <td>0</td>
    <td>0</td>
    <td>...</td>
    <td>0</td>
    <td>0</td>
    <td>0</td>
  </tr>
</table>

FunctionalChaosResult
- input dimension=4
- output dimension=20
- distribution dimension=4
- transformation=4 -> 4
- inverse transformation=4 -> 4
- orthogonal basis dimension=4
- indices size=56
- relative errors=[2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.5095e-07,2.63063e-06,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07,2.47909e-07]#20
- residuals=[0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000216145,0.000585276,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432,0.000216432]#20

| Index | Multi-index   | Coeff. #0     | Coeff. #1     | Coeff. #2     | ...           | Coeff. #17    | Coeff. #18    | Coeff. #19    |
|-------|---------------|---------------|---------------|---------------|---------------|---------------|---------------|---------------|
|     0 | [0,0,0,0]     | -8.29756      | -7.29756      | -6.29756      | ...           | 8.70243       | 9.70243       | 10.7024       |
|     1 | [1,0,0,0]     | 0.0639501     | 0.0639501     | 0.0639501     | ...           | 0.0640074     | 0.0640074     | 0.0640074     |
|     2 | [0,1,0,0]     | -0.0336704    | -0.0336704    | -0.0336704    | ...           | -0.0336164    | -0.0336164    | -0.0336164    |
| ...   |               |               |               |               | ...           |               |               |               |
|    53 | [1,0,1,5]     | 0             | 0             | 0             | ...           | 0             | 0             | 0             |
|    54 | [1,0,0,6]     | 0             | 0             | 0             | ...           | 0             | 0             | 0             |
|    55 | [0,0,1,6]     | 0             | 0             | 0             | ...           | 0             | 0             | 0             |

Composed metamodel =
<ul>
  <li> Input dimension = 4  </li>
  <li> Input description = [x0,x1,x2,x3]  </li>
  <li> Output dimension = 20  </li>
  <li> Size = 56  </li>
</ul>
<table>
  <tr>
    <th>Coefficient</th>
    <th>Function</th>
  </tr>
  <tr>
    <td>[-8.29756,-7.29756,-6.29756,-5.29756,-4.29756,-3.29756,-2.29756,-1.29756,-0.298914,0.702431,1.70243,2.70243,3.70243,4.70243,5.70243,6.70243,7.70243,8.70243,9.70243,10.7024]#20</td>
    <td>1</td>
  </tr>
  <tr>
    <td>[0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0627427,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074]#20</td>
    <td>-1.87569 + 0.00140172 <span>&#215;</span> x0</td>
  </tr>
  <tr>
    <td>[-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0345953,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164]#20</td>
    <td>-4.00121 + 0.133369 <span>&#215;</span> x1</td>
  </tr>
  <tr>
    <td>[0.584264,0.584264,0.584264,0.584264,0.584264,0.584264,0.584264,0.584264,0.584287,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274]#20</td>
    <td>1.73205 <span>&#215;</span> x2</td>
  </tr>
  <tr>
    <td>[-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,0,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762]#20</td>
    <td>1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.0117515,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288]#20</td>
    <td>2.66787 - 0.00391513 <span>&#215;</span> x0 + 1.11808e-06 <span>&#215;</span> x0<sup>2</sup></td>
  </tr>
  <tr>
    <td>[-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,0,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.0027732,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> 1.73205 <span>&#215;</span> x2</td>
  </tr>
  <tr>
    <td>[0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0120432,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954]#20</td>
    <td>10.6377 - 0.756185 <span>&#215;</span> x1 + 0.0125995 <span>&#215;</span> x1<sup>2</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,9.96362e-05,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>-1.11803 + 3.3541 <span>&#215;</span> x2<sup>2</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00057888,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>1.73205 <span>&#215;</span> x2 <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077]#20</td>
    <td>-3.35707 + 0.00734507 <span>&#215;</span> x0 - 4.12446e-06 <span>&#215;</span> x0<sup>2</sup> + 6.20008e-10 <span>&#215;</span> x0<sup>3</sup></td>
  </tr>
  <tr>
    <td>[0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (10.6377 - 0.756185 <span>&#215;</span> x1 + 0.0125995 <span>&#215;</span> x1<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000921093,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x2<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,0,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129]#20</td>
    <td>-21.59 + 2.48511 <span>&#215;</span> x1 - 0.0881978 <span>&#215;</span> x1<sup>2</sup> + 0.000978555 <span>&#215;</span> x1<sup>3</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00170031,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(10.6377 - 0.756185 <span>&#215;</span> x1 + 0.0125995 <span>&#215;</span> x1<sup>2</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x2</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00225372,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(10.6377 - 0.756185 <span>&#215;</span> x1 + 0.0125995 <span>&#215;</span> x1<sup>2</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00260801,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x2<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000852122,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00127259,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>-3.96863 <span>&#215;</span> x2 + 6.61438 <span>&#215;</span> x2<sup>3</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.000337234,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.11803 + 3.3541 <span>&#215;</span> x2<sup>2</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,0,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346]#20</td>
    <td>3.93911 - 0.0115182 <span>&#215;</span> x0 + 9.61616e-06 <span>&#215;</span> x0<sup>2</sup> - 2.85793e-09 <span>&#215;</span> x0<sup>3</sup> + 2.63491e-13 <span>&#215;</span> x0<sup>4</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.0035371,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(2.66787 - 0.00391513 <span>&#215;</span> x0 + 1.11808e-06 <span>&#215;</span> x0<sup>2</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x2 <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000802261,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> 1.73205 <span>&#215;</span> x2 <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,0,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445]#20</td>
    <td>(-21.59 + 2.48511 <span>&#215;</span> x1 - 0.0881978 <span>&#215;</span> x1<sup>2</sup> + 0.000978555 <span>&#215;</span> x1<sup>3</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00126332,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (-3.96863 <span>&#215;</span> x2 + 6.61438 <span>&#215;</span> x2<sup>3</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000217839,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>1.125 - 11.25 <span>&#215;</span> x2<sup>2</sup> + 13.125 <span>&#215;</span> x2<sup>4</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00131871,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>1.125 - 11.25 <span>&#215;</span> x3<sup>2</sup> + 13.125 <span>&#215;</span> x3<sup>4</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00165501,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(2.66787 - 0.00391513 <span>&#215;</span> x0 + 1.11808e-06 <span>&#215;</span> x0<sup>2</sup>) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x2<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00241226,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(2.66787 - 0.00391513 <span>&#215;</span> x0 + 1.11808e-06 <span>&#215;</span> x0<sup>2</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x2 <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00239649,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (10.6377 - 0.756185 <span>&#215;</span> x1 + 0.0125995 <span>&#215;</span> x1<sup>2</sup>) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00104576,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (-3.96863 <span>&#215;</span> x2 + 6.61438 <span>&#215;</span> x2<sup>3</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.000476318,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> 1.73205 <span>&#215;</span> x2 <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000750135,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (1.125 - 11.25 <span>&#215;</span> x3<sup>2</sup> + 13.125 <span>&#215;</span> x3<sup>4</sup>)</td>
  </tr>
  <tr>
    <td>[0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445]#20</td>
    <td>(35.6274 - 5.99016 <span>&#215;</span> x1 + 0.342712 <span>&#215;</span> x1<sup>2</sup> - 0.00807257 <span>&#215;</span> x1<sup>3</sup> + 6.69375e-05 <span>&#215;</span> x1<sup>4</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00151753,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-21.59 + 2.48511 <span>&#215;</span> x1 - 0.0881978 <span>&#215;</span> x1<sup>2</sup> + 0.000978555 <span>&#215;</span> x1<sup>3</sup>) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000192616,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(10.6377 - 0.756185 <span>&#215;</span> x1 + 0.0125995 <span>&#215;</span> x1<sup>2</sup>) <span>&#215;</span> (-3.96863 <span>&#215;</span> x3 + 6.61438 <span>&#215;</span> x3<sup>3</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,2.90669e-05,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>6.21867 <span>&#215;</span> x2 - 29.0205 <span>&#215;</span> x2<sup>3</sup> + 26.1184 <span>&#215;</span> x2<sup>5</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000986842,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-3.35707 + 0.00734507 <span>&#215;</span> x0 - 4.12446e-06 <span>&#215;</span> x0<sup>2</sup> + 6.20008e-10 <span>&#215;</span> x0<sup>3</sup>) <span>&#215;</span> (-3.96863 <span>&#215;</span> x3 + 6.61438 <span>&#215;</span> x3<sup>3</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.000332604,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-21.59 + 2.48511 <span>&#215;</span> x1 - 0.0881978 <span>&#215;</span> x1<sup>2</sup> + 0.000978555 <span>&#215;</span> x1<sup>3</sup>) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x2<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,0,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-21.59 + 2.48511 <span>&#215;</span> x1 - 0.0881978 <span>&#215;</span> x1<sup>2</sup> + 0.000978555 <span>&#215;</span> x1<sup>3</sup>) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00135063,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (6.21867 <span>&#215;</span> x3 - 29.0205 <span>&#215;</span> x3<sup>3</sup> + 26.1184 <span>&#215;</span> x3<sup>5</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00236117,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>63.4174 - 20.0089 <span>&#215;</span> x1 + 2.24735 <span>&#215;</span> x1<sup>2</sup> - 0.120561 <span>&#215;</span> x1<sup>3</sup> + 0.00334188 <span>&#215;</span> x1<sup>4</sup> - 4.61067e-05 <span>&#215;</span> x1<sup>5</sup> + 2.50028e-07 <span>&#215;</span> x1<sup>6</sup></td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00221572,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-50.2377 + 11.7408 <span>&#215;</span> x1 - 0.969964 <span>&#215;</span> x1<sup>2</sup> + 0.0365412 <span>&#215;</span> x1<sup>3</sup> - 0.00063952 <span>&#215;</span> x1<sup>4</sup> + 4.2109e-06 <span>&#215;</span> x1<sup>5</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x2</td>
  </tr>
  <tr>
    <td>[-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,0,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084]#20</td>
    <td>(-50.2377 + 11.7408 <span>&#215;</span> x1 - 0.969964 <span>&#215;</span> x1<sup>2</sup> + 0.0365412 <span>&#215;</span> x1<sup>3</sup> - 0.00063952 <span>&#215;</span> x1<sup>4</sup> + 4.2109e-06 <span>&#215;</span> x1<sup>5</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00363071,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-21.59 + 2.48511 <span>&#215;</span> x1 - 0.0881978 <span>&#215;</span> x1<sup>2</sup> + 0.000978555 <span>&#215;</span> x1<sup>3</sup>) <span>&#215;</span> (-3.96863 <span>&#215;</span> x2 + 6.61438 <span>&#215;</span> x2<sup>3</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.000265954,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-3.35707 + 0.00734507 <span>&#215;</span> x0 - 4.12446e-06 <span>&#215;</span> x0<sup>2</sup> + 6.20008e-10 <span>&#215;</span> x0<sup>3</sup>) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> 1.73205 <span>&#215;</span> x2 <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00103441,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-3.35707 + 0.00734507 <span>&#215;</span> x0 - 4.12446e-06 <span>&#215;</span> x0<sup>2</sup> + 6.20008e-10 <span>&#215;</span> x0<sup>3</sup>) <span>&#215;</span> (1.125 - 11.25 <span>&#215;</span> x2<sup>2</sup> + 13.125 <span>&#215;</span> x2<sup>4</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00315489,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(2.66787 - 0.00391513 <span>&#215;</span> x0 + 1.11808e-06 <span>&#215;</span> x0<sup>2</sup>) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x2<sup>2</sup>) <span>&#215;</span> (-1.11803 + 3.3541 <span>&#215;</span> x3<sup>2</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.00231383,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-50.2377 + 11.7408 <span>&#215;</span> x1 - 0.969964 <span>&#215;</span> x1<sup>2</sup> + 0.0365412 <span>&#215;</span> x1<sup>3</sup> - 0.00063952 <span>&#215;</span> x1<sup>4</sup> + 4.2109e-06 <span>&#215;</span> x1<sup>5</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x2</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000275197,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (1.125 - 11.25 <span>&#215;</span> x2<sup>2</sup> + 13.125 <span>&#215;</span> x2<sup>4</sup>) <span>&#215;</span> 1.73205 <span>&#215;</span> x3</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000330104,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-4.00121 + 0.133369 <span>&#215;</span> x1) <span>&#215;</span> (6.21867 <span>&#215;</span> x3 - 29.0205 <span>&#215;</span> x3<sup>3</sup> + 26.1184 <span>&#215;</span> x3<sup>5</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.000542696,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-1.12673 + 23.6614 <span>&#215;</span> x2<sup>2</sup> - 70.9843 <span>&#215;</span> x2<sup>4</sup> + 52.0551 <span>&#215;</span> x2<sup>6</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.000739843,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> 1.73205 <span>&#215;</span> x2 <span>&#215;</span> (6.21867 <span>&#215;</span> x3 - 29.0205 <span>&#215;</span> x3<sup>3</sup> + 26.1184 <span>&#215;</span> x3<sup>5</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,-0.000367056,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>(-1.87569 + 0.00140172 <span>&#215;</span> x0) <span>&#215;</span> (-1.12673 + 23.6614 <span>&#215;</span> x3<sup>2</sup> - 70.9843 <span>&#215;</span> x3<sup>4</sup> + 52.0551 <span>&#215;</span> x3<sup>6</sup>)</td>
  </tr>
  <tr>
    <td>[0,0,0,0,0,0,0,0,0.00225843,0,0,0,0,0,0,0,0,0,0,0]#20</td>
    <td>1.73205 <span>&#215;</span> x2 <span>&#215;</span> (-1.12673 + 23.6614 <span>&#215;</span> x3<sup>2</sup> - 70.9843 <span>&#215;</span> x3<sup>4</sup> + 52.0551 <span>&#215;</span> x3<sup>6</sup>)</td>
  </tr>
</table>

Metamodel =
<p>([-8.29756,-7.29756,-6.29756,-5.29756,-4.29756,-3.29756,-2.29756,-1.29756,-0.298914,0.702431,1.70243,2.70243,3.70243,4.70243,5.70243,6.70243,7.70243,8.70243,9.70243,10.7024]#20 + [0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0639501,0.0627427,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074,0.0640074]#20 * (-1.87569 + 0.00140172 * x0) + [-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0336704,-0.0345953,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164,-0.0336164]#20 * (-4.00121 + 0.133369 * x1) + [0.584264,0.584264,0.584264,0.584264,0.584264,0.584264,0.584264,0.584264,0.584287,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274,0.584274]#20 * (1.73205 * x2) + [-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,-0.00708706,0,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762,-0.00708762]#20 * (1.73205 * x3) + [-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.00994781,-0.0117515,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288,-0.00993288]#20 * (2.66787 - 0.00391513 * x0 + 1.11808e-06 * x0^2) + [-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,-0.0103194,0,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764,-0.0102764]#20 * ((-1.87569 + 0.00140172 * x0) * (-4.00121 + 0.133369 * x1)) + [0,0,0,0,0,0,0,0,0.0027732,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (1.73205 * x2)) + [0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0114017,0.0120432,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954,0.0113954]#20 * (10.6377 - 0.756185 * x1 + 0.0125995 * x1^2) + [0,0,0,0,0,0,0,0,9.96362e-05,0,0,0,0,0,0,0,0,0,0,0]#20 * (-1.11803 + 3.3541 * x2^2) + [0,0,0,0,0,0,0,0,-0.00057888,0,0,0,0,0,0,0,0,0,0,0]#20 * ((1.73205 * x2) * (1.73205 * x3)) + [0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0.00304399,0,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077,0.00304077]#20 * (-3.35707 + 0.00734507 * x0 - 4.12446e-06 * x0^2 + 6.20008e-10 * x0^3) + [0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0.0020856,0,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104,0.00226104]#20 * ((-1.87569 + 0.00140172 * x0) * (10.6377 - 0.756185 * x1 + 0.0125995 * x1^2)) + [0,0,0,0,0,0,0,0,-0.000921093,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-1.11803 + 3.3541 * x2^2)) + [-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,-0.00418823,0,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129,-0.00408129]#20 * (-21.59 + 2.48511 * x1 - 0.0881978 * x1^2 + 0.000978555 * x1^3) + [0,0,0,0,0,0,0,0,0.00170031,0,0,0,0,0,0,0,0,0,0,0]#20 * ((10.6377 - 0.756185 * x1 + 0.0125995 * x1^2) * (1.73205 * x2)) + [0,0,0,0,0,0,0,0,0.00225372,0,0,0,0,0,0,0,0,0,0,0]#20 * ((10.6377 - 0.756185 * x1 + 0.0125995 * x1^2) * (1.73205 * x3)) + [0,0,0,0,0,0,0,0,0.00260801,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-4.00121 + 0.133369 * x1) * (-1.11803 + 3.3541 * x2^2)) + [0,0,0,0,0,0,0,0,-0.000852122,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-4.00121 + 0.133369 * x1) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,-0.00127259,0,0,0,0,0,0,0,0,0,0,0]#20 * (-3.96863 * x2 + 6.61438 * x2^3) + [0,0,0,0,0,0,0,0,0.000337234,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.11803 + 3.3541 * x2^2) * (1.73205 * x3)) + [-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,-0.00274388,0,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346,-0.00273346]#20 * (3.93911 - 0.0115182 * x0 + 9.61616e-06 * x0^2 - 2.85793e-09 * x0^3 + 2.63491e-13 * x0^4) + [0,0,0,0,0,0,0,0,-0.0035371,0,0,0,0,0,0,0,0,0,0,0]#20 * ((2.66787 - 0.00391513 * x0 + 1.11808e-06 * x0^2) * (1.73205 * x2) * (1.73205 * x3)) + [0,0,0,0,0,0,0,0,-0.000802261,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (1.73205 * x2) * (-1.11803 + 3.3541 * x3^2)) + [-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,-0.00227237,0,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445,-0.00242445]#20 * ((-21.59 + 2.48511 * x1 - 0.0881978 * x1^2 + 0.000978555 * x1^3) * (1.73205 * x3)) + [0,0,0,0,0,0,0,0,-0.00126332,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-4.00121 + 0.133369 * x1) * (-3.96863 * x2 + 6.61438 * x2^3)) + [0,0,0,0,0,0,0,0,-0.000217839,0,0,0,0,0,0,0,0,0,0,0]#20 * (1.125 - 11.25 * x2^2 + 13.125 * x2^4) + [0,0,0,0,0,0,0,0,-0.00131871,0,0,0,0,0,0,0,0,0,0,0]#20 * (1.125 - 11.25 * x3^2 + 13.125 * x3^4) + [0,0,0,0,0,0,0,0,-0.00165501,0,0,0,0,0,0,0,0,0,0,0]#20 * ((2.66787 - 0.00391513 * x0 + 1.11808e-06 * x0^2) * (-4.00121 + 0.133369 * x1) * (-1.11803 + 3.3541 * x2^2)) + [0,0,0,0,0,0,0,0,0.00241226,0,0,0,0,0,0,0,0,0,0,0]#20 * ((2.66787 - 0.00391513 * x0 + 1.11808e-06 * x0^2) * (1.73205 * x2) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,0.00239649,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (10.6377 - 0.756185 * x1 + 0.0125995 * x1^2) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,-0.00104576,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-4.00121 + 0.133369 * x1) * (-3.96863 * x2 + 6.61438 * x2^3)) + [0,0,0,0,0,0,0,0,0.000476318,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-4.00121 + 0.133369 * x1) * (1.73205 * x2) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,-0.000750135,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (1.125 - 11.25 * x3^2 + 13.125 * x3^4)) + [0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0.00098758,0,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445,0.000915445]#20 * ((35.6274 - 5.99016 * x1 + 0.342712 * x1^2 - 0.00807257 * x1^3 + 6.69375e-05 * x1^4) * (1.73205 * x3)) + [0,0,0,0,0,0,0,0,-0.00151753,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-21.59 + 2.48511 * x1 - 0.0881978 * x1^2 + 0.000978555 * x1^3) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,-0.000192616,0,0,0,0,0,0,0,0,0,0,0]#20 * ((10.6377 - 0.756185 * x1 + 0.0125995 * x1^2) * (-3.96863 * x3 + 6.61438 * x3^3)) + [0,0,0,0,0,0,0,0,2.90669e-05,0,0,0,0,0,0,0,0,0,0,0]#20 * (6.21867 * x2 - 29.0205 * x2^3 + 26.1184 * x2^5) + [0,0,0,0,0,0,0,0,-0.000986842,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-3.35707 + 0.00734507 * x0 - 4.12446e-06 * x0^2 + 6.20008e-10 * x0^3) * (-3.96863 * x3 + 6.61438 * x3^3)) + [0,0,0,0,0,0,0,0,0.000332604,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-21.59 + 2.48511 * x1 - 0.0881978 * x1^2 + 0.000978555 * x1^3) * (-1.11803 + 3.3541 * x2^2)) + [-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,-0.000271509,0,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-21.59 + 2.48511 * x1 - 0.0881978 * x1^2 + 0.000978555 * x1^3) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,0.00135063,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (6.21867 * x3 - 29.0205 * x3^3 + 26.1184 * x3^5)) + [0,0,0,0,0,0,0,0,-0.00236117,0,0,0,0,0,0,0,0,0,0,0]#20 * (63.4174 - 20.0089 * x1 + 2.24735 * x1^2 - 0.120561 * x1^3 + 0.00334188 * x1^4 - 4.61067e-05 * x1^5 + 2.50028e-07 * x1^6) + [0,0,0,0,0,0,0,0,0.00221572,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-50.2377 + 11.7408 * x1 - 0.969964 * x1^2 + 0.0365412 * x1^3 - 0.00063952 * x1^4 + 4.2109e-06 * x1^5) * (1.73205 * x2)) + [-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,-0.00325289,0,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084,-0.00341084]#20 * ((-50.2377 + 11.7408 * x1 - 0.969964 * x1^2 + 0.0365412 * x1^3 - 0.00063952 * x1^4 + 4.2109e-06 * x1^5) * (1.73205 * x3)) + [0,0,0,0,0,0,0,0,-0.00363071,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-21.59 + 2.48511 * x1 - 0.0881978 * x1^2 + 0.000978555 * x1^3) * (-3.96863 * x2 + 6.61438 * x2^3)) + [0,0,0,0,0,0,0,0,0.000265954,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-3.35707 + 0.00734507 * x0 - 4.12446e-06 * x0^2 + 6.20008e-10 * x0^3) * (-4.00121 + 0.133369 * x1) * (1.73205 * x2) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,-0.00103441,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-3.35707 + 0.00734507 * x0 - 4.12446e-06 * x0^2 + 6.20008e-10 * x0^3) * (1.125 - 11.25 * x2^2 + 13.125 * x2^4)) + [0,0,0,0,0,0,0,0,0.00315489,0,0,0,0,0,0,0,0,0,0,0]#20 * ((2.66787 - 0.00391513 * x0 + 1.11808e-06 * x0^2) * (-4.00121 + 0.133369 * x1) * (-1.11803 + 3.3541 * x2^2) * (-1.11803 + 3.3541 * x3^2)) + [0,0,0,0,0,0,0,0,-0.00231383,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-50.2377 + 11.7408 * x1 - 0.969964 * x1^2 + 0.0365412 * x1^3 - 0.00063952 * x1^4 + 4.2109e-06 * x1^5) * (1.73205 * x2)) + [0,0,0,0,0,0,0,0,-0.000275197,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-4.00121 + 0.133369 * x1) * (1.125 - 11.25 * x2^2 + 13.125 * x2^4) * (1.73205 * x3)) + [0,0,0,0,0,0,0,0,-0.000330104,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-4.00121 + 0.133369 * x1) * (6.21867 * x3 - 29.0205 * x3^3 + 26.1184 * x3^5)) + [0,0,0,0,0,0,0,0,0.000542696,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-1.12673 + 23.6614 * x2^2 - 70.9843 * x2^4 + 52.0551 * x2^6)) + [0,0,0,0,0,0,0,0,0.000739843,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (1.73205 * x2) * (6.21867 * x3 - 29.0205 * x3^3 + 26.1184 * x3^5)) + [0,0,0,0,0,0,0,0,-0.000367056,0,0,0,0,0,0,0,0,0,0,0]#20 * ((-1.87569 + 0.00140172 * x0) * (-1.12673 + 23.6614 * x3^2 - 70.9843 * x3^4 + 52.0551 * x3^6)) + [0,0,0,0,0,0,0,0,0.00225843,0,0,0,0,0,0,0,0,0,0,0]#20 * ((1.73205 * x2) * (-1.12673 + 23.6614 * x3^2 - 70.9843 * x3^4 + 52.0551 * x3^6)))o(| y0 = [x0]->[x0]<br>
| y1 = [x1]->[x1]<br>
| y2 = [x2]->[-50+x2]<br>
| y3 = [x3]->[-55+x3]<br>
)</p>