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Feb 22nd, 2017
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Python 0.59 KB | None | 0 0
  1.  
  2. A = np.matrix([[deltaItot/(2*A1), -Lf/tf*1/(2*A1), -1],
  3.                [-Lf/tf*1/(2*A2), deltaIItot/(2*A2), -1],
  4.                [2*A1, 2*A2, 0]])
  5. b = np.matrix([ [ -np.sum(np.multiply(qbI,deltaI))/(2*A1)],
  6.               [ - np.sum(np.multiply(qbII,deltaII))/(2*A2)],
  7.                [ - (np.sum(np.multiply(qbI[:20],LI[:20])*R) \
  8.          + np.sum(np.multiply(qbI[25:],LI[25:])*R) + \
  9.          np.sum(np.multiply(qbI[20:25],LI[20:25])*(R-hf)) \
  10.          + np.sum(np.multiply(qbII[:16],LII[:16])*R) + \
  11.          np.sum(np.multiply(qbII[16:],LII[16:])*(R-hf)))]])
  12. c1 = np.linalg.solve(A,b)
  13. print c1
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