Revision history [back]
 | 1 | initial version |
To constrain bounded arguments of the objective in Scipy minimize using the TNC method, you can use the bounds parameter of the minimize function. Here's an example code snippet:
from scipy.optimize import minimize
# define your objective function here
def objective(x):
# your objective function code here
# define your bounds here
bounds = [(0, 1), (2, 5), (-10, 10)] # example bounds
# call the minimize function with the TNC method and bounds parameter
result = minimize(objective, x0, method='TNC', bounds=bounds)
# the result object contains the solution, success status, etc.
print(result)
In the bounds list, each element corresponds to a variable in the objective function. The element is a tuple with two values, the lower and upper bounds for that variable. If you don't want to constrain a variable, you can use None as the lower or upper bound value.