Cody

Solution 1183099

Submitted on 8 May 2017 by Informaton
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Test Suite

Test Status Code Input and Output
1   Pass
cVec = 5:-.2:-5; ref = (1/sqrt(2*pi*2.5^2))*exp((-1*cVec.^2)/(2*2.5^2)); user = MyFunc(); assert(isequal(user,ref))

cVec = Columns 1 through 17 5.0000 4.8000 4.6000 4.4000 4.2000 4.0000 3.8000 3.6000 3.4000 3.2000 3.0000 2.8000 2.6000 2.4000 2.2000 2.0000 1.8000 Columns 18 through 34 1.6000 1.4000 1.2000 1.0000 0.8000 0.6000 0.4000 0.2000 0 -0.2000 -0.4000 -0.6000 -0.8000 -1.0000 -1.2000 -1.4000 -1.6000 Columns 35 through 51 -1.8000 -2.0000 -2.2000 -2.4000 -2.6000 -2.8000 -3.0000 -3.2000 -3.4000 -3.6000 -3.8000 -4.0000 -4.2000 -4.4000 -4.6000 -4.8000 -5.0000 xVec = Columns 1 through 17 0.0216 0.0253 0.0294 0.0339 0.0389 0.0444 0.0503 0.0566 0.0633 0.0703 0.0777 0.0852 0.0929 0.1007 0.1083 0.1159 0.1231 Columns 18 through 34 0.1300 0.1364 0.1422 0.1473 0.1516 0.1550 0.1575 0.1591 0.1596 0.1591 0.1575 0.1550 0.1516 0.1473 0.1422 0.1364 0.1300 Columns 35 through 51 0.1231 0.1159 0.1083 0.1007 0.0929 0.0852 0.0777 0.0703 0.0633 0.0566 0.0503 0.0444 0.0389 0.0339 0.0294 0.0253 0.0216

2   Pass
[xVec cVec] = MyFunc(); cRef = 5:-.2:-5; assert(isequal(cRef,cVec))

cVec = Columns 1 through 17 5.0000 4.8000 4.6000 4.4000 4.2000 4.0000 3.8000 3.6000 3.4000 3.2000 3.0000 2.8000 2.6000 2.4000 2.2000 2.0000 1.8000 Columns 18 through 34 1.6000 1.4000 1.2000 1.0000 0.8000 0.6000 0.4000 0.2000 0 -0.2000 -0.4000 -0.6000 -0.8000 -1.0000 -1.2000 -1.4000 -1.6000 Columns 35 through 51 -1.8000 -2.0000 -2.2000 -2.4000 -2.6000 -2.8000 -3.0000 -3.2000 -3.4000 -3.6000 -3.8000 -4.0000 -4.2000 -4.4000 -4.6000 -4.8000 -5.0000 xVec = Columns 1 through 17 0.0216 0.0253 0.0294 0.0339 0.0389 0.0444 0.0503 0.0566 0.0633 0.0703 0.0777 0.0852 0.0929 0.1007 0.1083 0.1159 0.1231 Columns 18 through 34 0.1300 0.1364 0.1422 0.1473 0.1516 0.1550 0.1575 0.1591 0.1596 0.1591 0.1575 0.1550 0.1516 0.1473 0.1422 0.1364 0.1300 Columns 35 through 51 0.1231 0.1159 0.1083 0.1007 0.0929 0.0852 0.0777 0.0703 0.0633 0.0566 0.0503 0.0444 0.0389 0.0339 0.0294 0.0253 0.0216

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