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Hey Preston,
These matrices below are flagged as infeasible by OSQP but not by JaxOSQP, which returns a solution that does not satisfy the constraints
(Interestingly, this actually works well for my problem, but I figured it was weird behavior)
P = np.array([[2.0, 0.0, 0.0], [0.0, 2.0, 0.0], [0.0, 0.0, 2.0]]) q = np.array([0.00414928, 0.03791134, 0.01410465]) A = np.array( [ [-0.76501865, 2.82754636, -2.62377954], [1.0, -0.0, -0.0], [-0.0, 1.0, -0.0], [-0.0, -0.0, 1.0], [-1.0, -0.0, -0.0], [-0.0, -1.0, -0.0], [-0.0, -0.0, -1.0], ] ) l = np.array( [ -np.inf, -np.inf, -np.inf, -np.inf, -np.inf, -np.inf, -np.inf, ] ) u = np.array( [ -86.72295701, 0.29792536, 0.28104433, 0.29294767, 0.30207464, 0.31895567, 0.30705233, ] )
The text was updated successfully, but these errors were encountered:
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Hey Preston,
These matrices below are flagged as infeasible by OSQP but not by JaxOSQP, which returns a solution that does not satisfy the constraints
(Interestingly, this actually works well for my problem, but I figured it was weird behavior)
The text was updated successfully, but these errors were encountered: