I'm currently working to diagonalize a 5000x5000 Hermitian matrix, and I find that when I use Julia's eigen function in the LinearAlgebra module, which produces
I want to rank the rows of a 2D matrix lexicographically (in descending order) such that they are ranked: first by the left-most column, then second left-most c
I'm trying to plot a stellar orbit in a given potential. First, I initialize the position and velocity, and derive the acceleration from the position according
am trying to predict the exact solution for the mathieu's equation y"+(lambda - 2qcos(2x))y = 0. I have been able to get five eigenvalues for the equation using
I'm using scikit-learn TfldfVectorizer to produce the TF-IDF matrix #Import TfIdfVectorizer from scikit-learn from sklearn.feature_extraction.text import TfidfV
I have data in which values are ranging from small negative values to positive 1000. Since the minimum and maximum differ by large scales, I first set locator a
I'm trying to use finite differences to solve the diffusion equation in 3D. I think I'm having problems with the main loop. In particular the discrete equation
I'm having a hard time exporting my blender model to glTF 2.0 format (for godot): (I still can export it to default .dae format) So, I tried installing numpy f
Given a tensor b, and I would like to extract N elements in each row that satisfy a specific condition. For example, suppose a is a matrix that indicates whethe
I would like to expand a list of arrays into a single array, so for example: a = [array([1,2,3]), array([4,5,6]), array([7,8,9,])] To become: a = [array([1,2,3
I was using the CVXPY library in Python, trying to solve a particular optimization problem. import cvxpy as cp import numpy as np from scipy.stats import norm
Let's say that I have a data stream where single data point is retrieved at a time: import numpy as np def next_data_point(): """ Mock a data stream. Da
New to python, so if this impossible sorry for time wasting.. I would like to get the full data set that is printed in console into to the csv when written out.
I have a list of pytorch tensors as shown below: data = [[tensor([0, 0, 0]), tensor([1, 2, 3])], [tensor([0, 0, 0]), tensor([4, 5, 6])]] Now this is ju
I have a simple code, which DOES work, for training a Keras model in Tensorflow using numpy arrays as features and labels. If I then wrap these numpy arrays usi
When I try to use a custom activation function in keras (2.2.5), I create a new activation function gelu. add it in activations.py : from . import backend as K
I've got this error: ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has s
I'm trying to add an array of time offsets (in seconds, which can be both positive and negative) to a constant timestamp using numpy. numpy version is 1.19.1, p
I have a pair of two-dimensional arrays from a gridded dataset (in GeoTIFF format), both with the exact same resolution and number of rows/columns. Suppose Arra
I have a couple of ndarrays with same shape, and I would like to get one array (of same shape) with the maximum of the absolute values for each element. So I de