Questions tagged [scipy-optimize-minimize]
446 questions
3
votes
1 answer
Nelder-Mead optimization in python with constraints
Currently, I am looking for a Nelder-Mead optimizer in python that also accepts bounds and constraints for the variables.
Scipy has a Nelder-Mead optimizer, but it does not allow any constraints.
During my search I came across the package…
Emma
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3
votes
2 answers
How to solve nonlinear programming problem in Python
I want to solve a nonlinear programming problem. The objective function is nonlinear and the constraints are linear. Given a vector α(dim is n*1), I want to find another vector θ( dim also is n*1) make cos(α, θ) minimize. Meanwhile the θ has some…
hinanmu
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- 8
3
votes
1 answer
Is it possible to pass a scalar value to a Pandas UDF Function along with Pandas Series
I'm trying to use scipy.optimize.minimize function on two columns of pyspark dataframe.
while passing x0 parameter as array to the Pandas UDF function, i am getting following error:
TypeError: Invalid argument, not a string or column: [0.9 0.5 2.5…
Vaibhav Rathi
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3
votes
1 answer
How to scipy-optimize with a categorical variable
Consider the following problem:
import numpy
import scipy.optimize
def f(x):
return (x[0] == 1)*(x[1] + 2)**2 - (x[0] == 0)*(x[1] + 1)**2
kwargs = {
'method': 'trust-constr',
'jac': False,
'bounds': [(0, 1), (0, 1)],
…
Jorge Leitao
- 19,085
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3
votes
0 answers
How to speed-up basinhopping global optimization
I'm working on a program that should perform an optimization roughly 6750 times. Now, the problem is that one optimization has a duration of about 3 minutes. This doesn't seem much at first sight, but if I have to perform it 6750 times, I would be…
Frederik Vanclooster
- 443
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3
votes
1 answer
print chosen method of scipy.optimize.minimize
This is a short question, but google points me every time to the documentation where I can't find the answer.
I am using scipy.optimize.minimize. It works pretty good, all things are fine.
I can define a method to use, but it works even if I don't…
theother
- 307
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2
votes
2 answers
How to do the optimization for a mean squares error in a Python code faster
(I'm new to stack overflow, but I will try to write my problem the best way I can)
For my thesis, I need to do the optimization for a mean squares error problem as fast as possible. For this problem, I used to use the scipy.optimize.minimize method…
Brogly
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- 5
2
votes
2 answers
Curve fitting: How to optimize x_value model for curve fitting in python
I am trying to fit an exponential curve into my data. However, I am having some trouble defining the x_value model properly in order to have a representative curve-fit to the data. I would think that the approach I used in preparing the DataFrame…
onia106
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2
votes
0 answers
Fit line segments to shape
Suppose I have a binary image as shown below. The white colour indicates the shape of interest.
Task: I want to fit two connected line segment that best describes the shape. Example output is shown below.
Constraints: We can assume that the start,…
DalekSupreme
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2
votes
1 answer
scipy.optimize.minimize_scalar() adding constraint to helper function result inside objective function?
I have a function func_x() that I am trying to minimize using scipy.optimize.minimize_scalar().
func_x() also calls another function func_y() whose result func_x() uses in part to calculate the final scalar value. I want the optimization to also…
hamhung
- 53
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2
votes
1 answer
Minimizing a simple Linear Combination
I know this is this is not a practical thing to do (this question I just so I can understand what is going on), but I am wondering why SciPy can’t minimize the following linear combination (it returns the initial weights and only does 1…
ladca
- 25
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2
votes
1 answer
How to use scipy.optimize.minimize for function with 3 variables?
I'm trying to optimise this function:
def voce(strain, sigma_s, sigma_y, epsilon_0):
stress = sigma_s - (sigma_s - sigma_y)*np.exp(-strain/epsilon_0)
return stress
by finding the best values for sigma_s, sigma_y and epsilon_0. Strain and…
PortsmouthProgrammer
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2
votes
0 answers
How to log step sizes when using scipy.optimize.minimize (L-BFGS-B)?
I am working with the L-BFGS-B implementation of the scipy.optimize.minimize package. I know that when using a gradient (i.e. using the argument jac=...), the algorithm computes the corresponding step size by line search (Wolfe-condition).
Does…
lhell
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2
votes
1 answer
In python, how to discretize continuous variable using accuracy as a criterion taking class into consideration
For a set of subjects I have a continuous variable with range 0-100 representing a quantification of a subject's state cont_attribute. For each subject I also have an ordinal variable representing reader annotation of subject's state as one of four…
Levi.Steinberg
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2
votes
1 answer
Use GEKKO solver in scipy.optimize
I try to use the scipy.optimze.minimize solver (Nelder-Mead) to optimize my parameters of a GEKKO simulation.
Is this possible at all?
My idea was to hand over the GEKKO object to the solver, but this leads to a error:
TypeError: float() argument…
H Bode
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