- Timestamp:
- 06/22/20 11:19:30 (5 years ago)
- File:
-
- 1 edited
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TabularUnified issm/trunk-jpl/src/m/classes/qmu/linear_inequality_constraint.py ¶
r24261 r25097 13 13 where the required args are: 14 14 matrix (double row, variable coefficients, float('NaN')) 15 lower (double vector, lower bounds, -np. Inf)15 lower (double vector, lower bounds, -np.inf) 16 16 upper (double vector, upper bounds, 0.) 17 17 and the optional args and defaults are: … … 25 25 def __init__(self): 26 26 self.matrix = np.array([[float('NaN')]]) 27 self.lower = -np. Inf27 self.lower = -np.inf 28 28 self.upper = 0. 29 29 self.scale_type = 'none' … … 131 131 lower[i] = lic[i].lower 132 132 133 lower = allequal(lower, -np. Inf)133 lower = allequal(lower, -np.inf) 134 134 135 135 return lower
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