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Showing posts with the label Optimization

Swapping The Dimensions Of A Numpy Array

I would like to do the following: for i in dimension1: for j in dimension2: for k in dimensio… Read more Swapping The Dimensions Of A Numpy Array

Pandas: Optimizing Some Python Code By Getting Rid Of Dataframe.apply()

the following code is produced using python 2.7 and pandas 0.9.1. I have a dataframe with two colum… Read more Pandas: Optimizing Some Python Code By Getting Rid Of Dataframe.apply()

Include Only Unique Values In A Pulp Optimization Solution

This post is a related question that spun off of this question. My goal is to generate an optimal f… Read more Include Only Unique Values In A Pulp Optimization Solution

Tutorials On Optimizing Non-trivial Python Applications With C Extensions Or Cython

The Python community has published helpful reference material showing how to profile Python code, a… Read more Tutorials On Optimizing Non-trivial Python Applications With C Extensions Or Cython

Scipy Minimize: How To Pass Args To Both The Objective And The Constraint

My MWE is as follows def obj(e, p): S = f(e) + g(p) return S I would like to minimize this… Read more Scipy Minimize: How To Pass Args To Both The Objective And The Constraint

Providing Constraints In Pymoo Optimisation

I have an objective function which looks like: f1 = -1 * (constant1 * (variable1 - constant2)) And… Read more Providing Constraints In Pymoo Optimisation

Save Intermediate Results In Minimization Problem

I am running a minimization problem using the next code: import numpy as np from scipy.optimize imp… Read more Save Intermediate Results In Minimization Problem

Or-tools Solve Traveling Salesman (tsp) Without Returning To The Home Node

I'm using Google Or-Tools to solve a Traveling Salesman Problem by using this example (basicall… Read more Or-tools Solve Traveling Salesman (tsp) Without Returning To The Home Node