Questions tagged [scipy-optimize-minimize]

446 questions
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Minimization of a function with iterative bounds in Python

I'm trying to minimize a function of N parameters (e.g. x[1],x[2],x[3]...,x[N]) where the boundaries for the minimization depend on the minimized parameters themselves. For instance, assume that all values of x could vary between 0 and 1 in such a…
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why scipy.optimize.basinhopping give different results

I need to find global minimum of a complex function. I use basinhopping from scipy.optimize. when I changed method, example method="nelder-mead" vs "L-BFGS-B" or initial guess x0, they gave me different results, especially in values of x which I…
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optimization problem scipy.optimize.minimize

I'm having a hard time to optimize my system... I'm working on an antisolvent continuous crystallization in a tubular system and my goal is to find antisolvent flow rates at each antisolvent injection locations throughout the system length to…
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How to set x of a function given a target and a constraint?

I am trying to replicate somehow what excel solver would do in python. I have a set of functions like this: P1 = f1(x), P2= f2(x), Q1= g1(x) and Q2= g2(x) I am trying to find the value of x such as P1+P2 = some target and Q1+Q2 is minimum. can it be…
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Optimization with scipy

in the following code I want to optimize(maximize power output) a wind farm using scipy optimize. the variable in each iteration is c, which c=0 shows the wind turbine is off and c=1 shows, it is running. so in each iteration, I want to change C…
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Optimization of wind farm using Penalty function in Scipy

In the following code I want to optimize a wind farm using a penalty function. Using the first function(newsite), I have defined the wind turbines numbers and layout. Then in the next function, after importing x0(c=x0=initial guess), for each range…
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Minimize function via scipy with the one dependent parameter

I need to optimize my function with 3 variables: r, poly, eps. Parameter poly depends on the r parameter. r and eps are independent but have some boundaries. How to write the constraints for the minimization function in the right way? import numpy…
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Nonlinear optimization with scipy.optimize.minimize using matrices and vectors as decision variables

I have a nonlinear optimization problem which makes use of 3 decision variables, one of these variables is a single number (t), one is a vector with index i (S_i) and one is a matrix (Q_i,j) with indices i and j. I'm currently trying to use…
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SciPy Optimise minimise error - challenge to solve

How do I solve this error? TypeError: NumPy boolean subtract, the `-` operator, is not supported, use the bitwise_xor, the `^` operator, or the logical_xor function instead. I have programmed an optimizing program that must minimize the cost of a…
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scipy.minimize with two equations returns initial values only

I would like to get an optimal solution for following equation set: x_w * 1010 + x_m * d_m = 1017 x_w + x_m = 1 my code is as follows: from scipy.optimize import minimize import numpy as np def f1(p): x_w, x_m, d_m = p return (x_w*1010 +…
jozi
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Optimization and error "unsupported operand type(s) for -: 'generator' and 'generator'"

I am trying to do (from a math point of view), what is described in the following image (for presentation purpose) : In my code , i took mock values for the experimental and initial guess vector. How could i manage to fit my b parameter , at each…
Charles
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scipy minimize not finding solution

I'm trying to solve a set of equations using scipy.minimize, however I'm not getting satisfatory results, so maybe I'm gettting something wrong. I want to solve the following system of equations. 12.25 * (x + y * 2.2 + z * 4.84) - 8.17437483750257 =…
user2261062
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Using minimize function from scipy

I wrote this code where I imported data from a csv file, excluded the rows in 'area' where the value is zero. Now, I am trying to minimize the residual sum of squares error using the minimize function from scipy. From what I have seen so far is that…
qhumphrey
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How can I get sco.minimize to give me a solution that isn't the initial guesses?

I have a piece of code that worked well when I optimized advertising budget with 2 variables (channels) but when I added aditional channels, it stopped optimizing with no error messages. import numpy as np import scipy.optimize as sco # setup…
toku_mo
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Optimization of Wind Turbine plant in Scipy

I am doing a project(using pywake library which is user-defined lib) and I have written the following code: enter code here import numpy as np from py_wake.examples.data.hornsrev1 import V80 from py_wake.examples.data.hornsrev1 import…