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annotate +blockmatrix/multiplyTest.m @ 1037:2d7ba44340d0 feature/burgers1d

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Pass scheme specific parameters as cell array. This will enabale constructDiffOps to be more general. In addition, allow for schemes returning function handles as diffOps, which is currently how non-linear schemes such as Burgers1d are implemented.
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Fri, 18 Jan 2019 09:02:02 +0100
parents 288138d9586d
children
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388
288138d9586d Add function to multiply blockmatrices.
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1 function tests = multiplyTest()
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2 tests = functiontests(localfunctions);
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3 end
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4
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5
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6 function testMultiply(testCase)
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7 a11 = [
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8 0.8147 0.1270;
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9 0.9058 0.9134;
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10 ];
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11 a12 = [
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12 0.6324 0.2785 0.9575;
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13 0.0975 0.5469 0.9649;
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14 ];
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15 a21 = [
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16 0.1576 0.9706;
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17 ];
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18 a22 = [
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19 0.9572 0.4854 0.8003;
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20 ];
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21 A = {
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22 a11 a12;
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23 a21 a22;
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24 };
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25
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26 b11 = [
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27 0.1419 0.9157 0.9595;
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28 0.4218 0.7922 0.6557;
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29 ];
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30 b12 = [
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31 0.0357 0.9340;
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32 0.8491 0.6787;
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33 ];
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34 b21 = [
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35 0.7577 0.6555 0.0318;
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36 0.7431 0.1712 0.2769;
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37 0.3922 0.7060 0.0462;
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38 ];
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39 b22 = [
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40 0.0971 0.3171;
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41 0.8235 0.9502;
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42 0.6948 0.0344;
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43 ];
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44
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45 B = {
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46 b11 b12;
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47 b21 b22;
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48 };
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49
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50
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51 C = {
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52 a11*b11 + a12*b21, a11*b12 + a12*b22;
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53 a21*b11 + a22*b21, a21*b12 + a22*b22;
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54 };
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55
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56 testCase.verifyEqual(blockmatrix.multiply(A,B), C);
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57 end