Converting Python to Matlab

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Spent a few hours on trying to figure out why the outputs are different, no luck. Python and Matlab are in a txt file along with their outputs.
Suggestions on what I should be looking at to resolve the issue?
  2 个评论
Walter Roberson
Walter Roberson 2017-10-24
We do not have the data or NumPanels to test with.

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采纳的回答

Andrei Bobrov
Andrei Bobrov 2017-10-24
编辑:Andrei Bobrov 2017-10-24
Small typo in MATLAB code in nu2
nu2 = atan2(-(xc(k)-xp(n))*sin(theta(k))+(yc(k)-yp(n))*cos(theta(n))+(xp(n+1)-xp(n))*sin(theta(n))-(yp(n+1)-yp(n))*cos(theta(n)),(xc(k)-xp(n))*cos(theta(n))+(yc(k)-yp(n))*sin(theta(n))-(xp(n+1)-xp(n))*...
cos(theta(n))-(yp(n+1)-yp(n))*sin(theta(n))); % fixed!
  3 个评论
Andrei Bobrov
Andrei Bobrov 2017-10-24
Stop Zach!
How?
cos(theta(n)-(yp(n+1)-yp(n))*sin(theta(n)))
or
cos(theta(n))-(yp(n+1)-yp(n))*sin(theta(n))

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更多回答(2 个)

Zach Dunagan
Zach Dunagan 2017-10-25
编辑:Walter Roberson 2017-10-25
How would I insert zeros in the diagonal line of these 128 x 128 matrices?
nSource = -(sin(theta-transpose(theta)))*ups + (cos(theta-transpose(theta)))*wps;
ftSource = cos(theta-transpose(theta))*ups + sin(theta-transpose(theta))*wps;
nVortex = sin(theta-transpose(theta))*upv + cos(theta-transpose(theta))*wpv;
tVortex = cos(theta-transpose(theta))*upv + sin(theta-transpose(theta))*wpv;
  15 个评论
Zach Dunagan
Zach Dunagan 2017-10-28
编辑:Walter Roberson 2017-10-28
I changed dot to mtimes() or I could use .*
I compare the first dot to second dot of python and everything looks to be lining up. When I compare the normVelFoil outputs they don't line up.
Here is what I changed..
normVelFoil = mtimes(nSource, x(1:end-1, 1)) + mtimes(nVortex, x(end)*ones(numPanels, 1)) + normU;
Zach Dunagan
Zach Dunagan 2017-10-28
I have come to a conclusion the outputs are the same. They are both extremely small values, practically zero.

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ASHOK KUMAR MEENA
ASHOK KUMAR MEENA 2022-4-18
def Lagrange(x, y, n, xx):
sum = 0
for i in range(0, n + 1):
product = y[i]
for j in range(0, n + 1):
if (i != j):
product = product * (xx - x[j]) / (x[i] - x[j])
sum += product
return sum
def Trapezoidal(h, n, f):
sum = f[0]
for i in range (1, n):
sum = sum + 2 * f[i]
sum = sum + f[n]
ans = h * sum / 2
return ans

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