optimization Archives - Page 3 of 4

Python equivalent of MATLAB’s “ismember” function

August 14, 2022 by Magenaut

After many attempts trying optimize code, it seems that one last resource would be to attempt to run the code below using multiple cores. I don’t know exactly how to convert/re-structure my code so that it can run much faster using multiple cores. I will appreciate if I could get guidance to achieve the end goal. The end goal is to be able to run this code as fast as possible for arrays A and B where each array holds about 700,000 elements. Here is the code using small arrays. The 700k element arrays are commented out.

Python vectorizing nested for loops

August 13, 2022 by Magenaut

I’d appreciate some help in finding and understanding a pythonic way to optimize the following array manipulations in nested for loops:

Processing time gets longer and longer after each iteration (TensorFlow)

August 12, 2022 by Magenaut

I am training a CNN with TensorFlow for medical images application.

Efficient way to take the minimum/maximum n values and indices from a matrix using NumPy

August 12, 2022 by Magenaut

What’s an efficient way, given a NumPy matrix (2D array), to return the minimum/maximum n values (along with their indices) in the array?

What does Python optimization (-O or PYTHONOPTIMIZE) do?

August 12, 2022 by Magenaut

The docs only say that Python interpreter performs “basic optimizations”, without going into any detail. Obviously, it’s implementation dependent, but is there any way to get a feel for what type of things could be optimized, and how much run-time savings it could generate?

Numpy Pure Functions for performance, caching

August 12, 2022 by Magenaut

I’m writing some moderately performance critical code in numpy.
This code will be in the inner most loop, of a computation that’s run time is measured in hours.
A quick calculation suggest that this code will be executed up something like 10^12 times, in some variations of the calculation.

How do I put a constraint on SciPy curve fit?

August 12, 2022 by Magenaut

I’m trying to fit the distribution of some experimental values with a custom probability density function. Obviously, the integral of the resulting function should always be equal to 1, but the results of simple scipy.optimize.curve_fit(function, dataBincenters, dataCounts) never satisfy this condition.
What is the best way to solve this problem?

Python equivalent of MATLAB’s “ismember” function

Python vectorizing nested for loops

Processing time gets longer and longer after each iteration (TensorFlow)

Efficient way to take the minimum/maximum n values and indices from a matrix using NumPy

What does Python optimization (-O or PYTHONOPTIMIZE) do?

Numpy Pure Functions for performance, caching

How do I put a constraint on SciPy curve fit?

I’m designing a plugin to create database indexes. Suggestions?

Optimizing a Proximity-based Store Location Search on a Shared Web Host?

How to properly insert a stylesheet in wp_head