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4 votes
2 answers
108 views

Srivastava multivariate Fox H function in MATLAB

I was trying to rewrite the Python code in MATLAB. The result is consistent. But, the MATLAB code is so slow. Any help would be appreciated. Ref python code link The MATLAB code written by me is as ...
138 Aspen's user avatar
  • 169
3 votes
5 answers
1k views

How do I speed up this simulation program

This is a program to solve a differential equation numerically using Euler method. As of now, it is very slow, and I need to run 10000 Monte Carlo simulations. The differential equation is called ...
Jonathan Wick's user avatar
4 votes
2 answers
166 views

NumPy script to convert BGR to HSL and back

This is a NumPy script that converts BGR arrays to HSL arrays and back, without using OpenCV. Input and output values are arrays of 3 dimensions with values ranging from 0 to 1, the shape of the ...
Ξένη Γήινος's user avatar
5 votes
1 answer
82 views

Generating Abelian sandpile "zeros" in python

Here is some code that generates the zero element of an Abelian sandpile model (ASM), for any given model dimensions, and then plots the result as a colormesh. Here is a wiki page explaining the ASM. ...
Eden Laika's user avatar
0 votes
1 answer
207 views

Find the first value bigger than a threshold

This function takes two inputs: A is 2D (N,5) while B is 1D (N). It tries to find the smallest ...
Sanyou's user avatar
  • 13
2 votes
1 answer
179 views

Is this the right implementation for Linear Programming (puLP) on python?

I have created a LP function to help maximize a set of features. My first time playing with this library and also conducting LP. Variables: Number of features => X Number of Categories => Y ...
Kale 's user avatar
  • 23
6 votes
1 answer
135 views

basic Hartee-Fock program to compute the total energies and some properties of a molecule

I am trying to write a basic Hartee-Fock program that computes the total energies and some properties of a molecule given as an input. The code uses Cython to statically compile the computationally ...
Hemanth Haridas's user avatar
6 votes
2 answers
482 views

Means square displacement (MSD)

I have written a code to calculate the MSD of some molecules. The code averages over multiple time origins (sliding time window) and over all the molecules. I have also made it do one extra thing: do ...
mjksho's user avatar
  • 61
8 votes
2 answers
525 views

Fourier Series of a given function

This is a very simple code that expresses a function in terms of Trigonometric Fourier Series and generates a animation based on the harmonics. I would like to know some ways to improve the ...
Lipe's user avatar
  • 83
3 votes
1 answer
161 views

Solve an option pricing PDE in Python - Part 1 [closed]

The Github repository NM-Heston solves call option prices under the Heston 2-factor model using ADI splitting schemes. I am adapting the code to price options under the 3-factor Heston-Hull-White ...
Ruan's user avatar
  • 101
3 votes
0 answers
103 views

E-car-sharing problem with charging between the bookings

I am writing code that, at some later point, will be part of an academic multi-agent simulation of the learning process of car-sharing users and grid stability. This code deals with finding the price ...
Andreas Schuldei's user avatar
1 vote
1 answer
136 views

Further optimizing the ISING model

I've implemented the 2D ISING model in Python, using NumPy and Numba's JIT: ...
Amirhossein Rezaei's user avatar
3 votes
1 answer
118 views

Create a forecast matrix from time series samples

I would like to create a matrix of delay from a time series. For example, given y = [y_0, y_1, y_2, ..., y_N] and W = 5 I need to create this matrix: ...
graille's user avatar
  • 133
1 vote
1 answer
499 views

Create normals from triangulated surface

Objective I have a 3D face mesh triangulated. I have computed the midpoint of each triangle in the mesh, and I have the normal vector (n1, n2,n3) for each triangle. The objective is to create a 2D ...
Joker's user avatar
  • 111
3 votes
2 answers
195 views

Intercolumn statistics between columns in a dataframe

I have a df and need to count how many adjacent columns have the same sign as other columns based on the sign of the first column, and multiply by the sign of the ...
jaried's user avatar
  • 177
0 votes
0 answers
140 views

Algorithm to generate splats from point clouds

I am trying to write a program to generate splats from point clouds from following this paper and this paper. The function I have to generate 1 splat is here: ...
Aayush's user avatar
  • 61
4 votes
1 answer
75 views

Optimising compatibility-conflict graph solution - python recursive routine

Background I'm implementing an algorithm which localises overlapping sound sources using the time-difference-of-arrivals across 3 sensors [1]. Compatible 'triples' (e.g. with only 2 common sensors) ...
Thejasvi's user avatar
  • 143
2 votes
1 answer
412 views

Improving the speed of one-hot encoding a list of strings

I've recently developed two functions to functions to essentially convert a list of strings that look something like this (these strings are 101 characters long in my case): ...
KLM117's user avatar
  • 123
2 votes
1 answer
235 views

Integration loop over multiple doping and temperature levels

I want to perform some calculations on a large dataset. The code can be found below, where I want to calculate the values for 'results_nr' over a large loop (1000 x 910) values. Can you help me out ...
thimoooh's user avatar
1 vote
1 answer
75 views

Generate new column based on two columns of dataframe

I need to generate column a_b based on column a and column b of ...
jaried's user avatar
  • 177
2 votes
1 answer
255 views

Replace nested for loops when assigning intial conditions in a 4-dimensional array

I create a 4-dimensional (x, y, z, t) array of zero values. I then set the initial values at t = Tmax. To do this, I use a nested for loop. I attempted to improve ...
Ruan's user avatar
  • 101
3 votes
1 answer
206 views

Numerical integration in Python involving four dimensions

I'm trying to obtain the following S2 from a given S1, $$ S2(i, j) = \sum _{k=0} ^i \sum _{l=0} ^j S1(k, i-k, j, l) e^{ -\sqrt{...
user16308's user avatar
5 votes
1 answer
929 views

Laser physics simulation

This is for a computation for laser physics. The speed is quite slow, which seems to be delayed a lot by the three nested for loops with indices j,k, and l (with comments below). And the computation ...
user16308's user avatar
1 vote
1 answer
700 views

Exponentially-weighted moving mean and standard deviation of an irregularly-spaced weighted time series

The following numpy/python function computes exponentially-weighted moving mean and standard deviation of an irregularly-spaced weighted time series. I want to make it faster by getting rid of the ...
yuri kilochek's user avatar
1 vote
0 answers
128 views

Solving a linear system with Gaussian Elimination

I decided to implement a solver for linear systems of equations based on the gaussian elimination and reduction to upper triangular form. The gaussian elimination is quite simple to implement but the ...
Caridorc's user avatar
  • 27.5k
4 votes
3 answers
411 views

Pairwise Euclidean distance search algorithm

x and y are two-dimensional arrays with dimensions (AxN) and (BxN), i.e. they have the same number of columns. I need to get a matrix of Euclidean distances between each pair of rows from x and y. I ...
Никита Михалков's user avatar
2 votes
1 answer
208 views

Generating a matrix with each row having normalized weights

I just asked this question over Stack Over Flow on how to improve my code and reposting it here as someone on Stack Overflow recommended this platform. I have written two python functions and they are ...
AulwTheo's user avatar
3 votes
0 answers
66 views

Implementation of a crypto formula in Python

I need to implement in Python the formula in the image. The set B is a set of real numbers \$-1 \le t \le 1\$. Also, \$\mathbb{F}_2\$ is a set with the elements 0 and 1. \$y_i\$ is the \$i\$-th ...
juaninf's user avatar
  • 139
2 votes
0 answers
139 views

Convolution layer using numpy in python

I'm trying to make a CNN in python using numpy. I have a finished product but it seems that it can be improved. On testing the convolutional layer is the biggest bottleneck ...
Rohith's user avatar
  • 21
1 vote
0 answers
157 views

Computing the angle between two vectors (vectorized) for small angles and with few copies

I am implementing a function that computes the angle between two vectors when given two n-dimensional arrays and an axis along which to operate. I want to do this with as few copies as possible, and ...
FirefoxMetzger's user avatar
4 votes
1 answer
104 views

Dataframe transformation to numpy ndarray takes ages to complete

I would like to transform my dataframe into an array of fixed-sized chunks from each unique segment. Specifically, I would like to transform the ...
super_ask's user avatar
  • 143
2 votes
1 answer
47 views

Removing Loop from Numpy XOR

I have been playing around with numpy and matplotlib. My little project was to create a scatter plot ranging from -1 to 1 on both X and Y, but where the shading is done with the XOR scheme. The ...
GalacticPonderer's user avatar
3 votes
1 answer
820 views

Using Numba works slower than not using it for my Python code

I thought this community is better place to ask my question so I ask here rather than at StackOverflow. Recently, I learned that Numba can make Python function ...
Senna's user avatar
  • 41
10 votes
1 answer
329 views

From Hummingbirds to Ornithopters: Simulating the Aerodynamics of Flapping Wings

Ptera Software A Flapping Wing Aerodynamics Simulator Written in Python Motivation About a year ago, I became fascinated by how animals fly. As an aerospace engineering student, it surprised me that ...
wingedNorthropi's user avatar
2 votes
1 answer
1k views

Fast brute force numpy array combination

I want to extract the combinations of numpy arrays in this way: ...
snowflake's user avatar
  • 275
2 votes
1 answer
98 views

Performance issue in python- network creation based on the Euclidean distance with nested for loops is too slow

I want to create a network in which the links are formed based on a similarity metric defined as the Euclidean distance between the nodes. The distance is calculated using socio-demographic features ...
user710's user avatar
  • 21
1 vote
1 answer
104 views

decreasing solver speed

How can I decrease the time complexity and increase efficiency, without writing a new algorithm. My solution solves the majority of puzzles in a fast time, but for some difficult ones it can take over ...
p--h's user avatar
  • 13
5 votes
1 answer
202 views

compare between two labels /objects -dominance rules

I have a function dominates() that seems to be the bottleneck of my algorithm (after profiling it). the function is as follows: ...
sos's user avatar
  • 151
3 votes
1 answer
157 views

Snake from the viewpoint of the snake

I wrote a little game of snake that where you can see the field in which the snake moves fixed and you can also see the "viewpoint" of the snake, which is basically calculating the positions ...
Javier Camacho's user avatar
4 votes
1 answer
134 views

Neural Network Written in Python is Extremely Slow

I coded a basic feedforward neural network with all pure python with the exception of numpy in order to better understand how neural networks work. It works, but the only problem is it is extremely ...
Lburris12's user avatar
1 vote
0 answers
49 views

Resource reservation system

I'm using a function to determine if resources can be used again or not. This is the numpy array I'm using. ...
Mounir Hafsa's user avatar
5 votes
1 answer
433 views

Bancroft's method implementation

Background I've written an algorithm to solve the three-dimensional Time Difference of Arrival (TDoA) multi-lateration problem. That is, given the coordinates of n ...
10GeV's user avatar
  • 295
4 votes
2 answers
4k views

Cython with variable-length arrays

Dynamically growing arrays are a type of array. They are very useful when you don't know the exact size of the array at design time. First you need to define an initial number of elements. (Wikipedia) ...
user4933's user avatar
  • 149
1 vote
1 answer
42 views

Pandas : Apply Merge operations from a column

I have a data frame, which contains three columns: ...
Ayodhyankit Paul's user avatar
1 vote
2 answers
188 views

Better way to calculate double-scattering diffraction using cartesian product of arrays?

This script calculates points in reciprocal space for hexagonal 2D lattices, then uses the cartesian product from itertools to add each vector from one lattice to all of the vectors of the other in ...
uhoh's user avatar
  • 473
6 votes
1 answer
124 views

Code optimisation: Converting dataframe to numpy's ndarray

I am working with a dataframe of over 21M rows. ...
arilwan's user avatar
  • 161
1 vote
1 answer
2k views

Count the number of neighbors

I have a numpy array called contour of \$N\$ coordinates (x,y) of dimension (N, 2). For each ...
Sword Fish's user avatar
1 vote
1 answer
111 views

Getting the square of the difference between many points in a NumPy array

I have an array with 40000 numbers that are floats or ints. I need to perform some calculation. To do this I have used nested for loop, but the code is really slow. Can I use something instead of ...
Tanvir's user avatar
  • 27
4 votes
1 answer
286 views

Generating unique 2D numpy arrays with 2 adjacent row elements swapped while using BFS in Python

So I have a 12 x 6 2D numpy array for input which consists of 7 possible board objects (characters from 'abcdefg'). From a 2D numpy array I wish to generate all the possible unique 2D arrays, in whose ...
OldGrog's user avatar
  • 41
0 votes
1 answer
526 views

Image color-moment extractor [closed]

I was just wondering if there is a way to speed up the performances of this for loops in Python. I'm trying to process an image to get the color-moments without using libraries. It takes about 12sec ...
Enrico Mosca's user avatar

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