495 questions
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Debugging scipy.minimize
I am trying to "minimize" using SLSQP in scipy module. With a lot of difficulty, I am trying to implement some constraints. I am encountering some strange error, thus unable to debug. My ...
- 21
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77
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How do I fix the issue in my constrained non-linear 6D pose optimization problem using scipy.optimize?
I am a robotics student and am quite new to the field of computer vision, especially with pose estimation. I am trying to estimate the best 6D (rotation plus translation) grasping pose on the top ...
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1
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60
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How do I interpret scipy.optimize.minimize convergence metrics? Specifically, nit, nfev, njev in the output
I am solving an constrained, nonlinear optimization problem with scipy.optimize.minimize using the SLSQP solver. The optimization converges properly, but I want to have a better understanding of how ...
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1
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76
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Fitting with Maximum likelihood estimation in python returns initial parameters
I would like to use minimize from scipy.optimize to fit my data with a specific function:
I defined this log likelihood to this aim:
def log_likelihood(theta, freq, CPSD, CPSD_err):
'''
This ...
- 328
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53
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sc.minimize ignoring the constraints
I'm having some troubles with this optimization below. x0 is an array with -1 and 1, the result i'm trying to achieve is that the code choose to let the number as +/- 1 or change to 0, the main ...
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35
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Interdependent bounds in scipy minimize
Say I have a function f(x,y,z) I want to minimize using scipy.optimize.minimize. I want to minimize it subject to the constraint x < y < z.
I don't think I can use the bounds argument to do this ...
- 377
1
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50
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Running SciPy Optimizer Dual Annealing
What is the correct way to call dual_annealing scipy optimizer?
Tried both the variants, neither of them works.
import scipy.optimize as spo
optimizer_fn = 'spo.dual_annealing'
optimizer = eval(...
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2
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53
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Scipy Minimize with boolean decision matrix
I have a distance matrix between 2 sets of points ( sets A & B ). Each A point is associated with an equal number of B points ( if possible ).
I want to minimize the standard deviation of average ...
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61
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Preconditioning conjugate gradient solvers in scipy.optimize.minimize
I'm solving a large unconstrained optimization problem and experimenting with the trust-kyrlov / trust-ncg methods in scipy.optimize.minimize. Unfortunately, these methods can be quite slow when my ...
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1
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1
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84
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Applying scipy.minimize to Pandas dataframe with parameters
I have a function defined by f(x_0, x_1) = a(x_1 - x_0^2)^2 + (b - x_0)^2, where a and b are some parameters:
def f(x):
return a*(x[1]-x[0]**2)**2+(b-x[0])**2
where x=np.array([x_0,x_1]) is a numpy ...
- 580
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1
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56
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NonlinearConstraint in SciPy Optimize not working with vector bounds?
I asked ChatGPT and it wasn't helpful. Basically I want to implement a constraint on a Transformed vector of X, let's say T(X). How do I do that? Here is my code:
def TransformFunction(X):
...
- 187
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101
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`scipy.optimize.minimize` gives different results on GCP and Mac
SciPy's minimize() gives different results on different machines:
sp.optimize.minimize(cost_function, x_init, bounds=x_bounds, args=args_in, method='SLSQP', options={'maxiter': sim_config['maxiter'], '...
- 71
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1
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126
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SciPy Minimize Constrain Around Internal Parameter, Not Input
EDIT 1: This question has been completely modified for improved clarity and to better state my intent. The original post is at the end.
I think a lot of people are confused by my example code. It was ...
- 51
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1
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76
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Using Preconditioners in scipy.minimize
Can I use Jacobi Preconditioning for the inner CG step in Truncated Newton Conjugate implementation of scipy?
The options for the TNC solver do not include any support for preconditioning. I'm ...
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0
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1
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66
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BFGS algorithm finding almost good parameters but not converging with scipy.minimize()
I am estimating an Interval Regression model. I wrote my likelihood function (see intreg, STATA) as stated bellow, and compared my results with STATA. I am finding almost exactly (within 0.001) same ...
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