I have a set of K dimension standard basis vectors and the (K-1)-simplex defined over these vectors. I want to divide this simplex into sub-simplexes which partition the original simplex using ...

After iterating through multiple nested loops to train multiple DL models, I want to poke around in the results to compare how different changes to hyperparameters, different datasets, and different ...

Code : from pandas import DataFrame from pandas import concat from keras.models import Sequential from keras.layers import Dense from keras.layers import GRU # y.shape : (2325, 2, 13) # X.shape : (...

while finding the euclidean distance to generate the seeds for watershed, I got an error XA must be a two dimensional array. I applied many things suggested on stack overflow but couldn't solved this ...

How can I create a function that accepts as an argument an n- dimensional vector that will return (x1, x2^2, ..., xn^n) in R.

I am using .where() function to select time and certain criteria in xarray dataset. import numpy as np import xarray as xr ds1 = xr.open_dataset('COD.nc') ds2 = xr.open_dataset('CDNC.nc') ds3 = xr....

Consider a set of points in an n-dimensional space. Each dimension is bounded in the range [0, 1] inclusive. Add a new point to the space as far away as possible from its nearest neighbor. Where ...

Given a vector of N-dimensional points. The vector will be of size N+1. Is there a generalized algorithm to find the center and radius of the ND sphere using those points where the sphere intersects ...

Problem statement: I have 32k strings that consist of 13 characters. Each character can take 3 values (a, b or c). I need to select n strings from the 32k that satisfy the following: select minimal ...

I am trying to create a multi-dimensional window across a stack np array and find the max of each of the windows. Below res is a stacked array with shape (3, 4, 4). I would like to have a window with ...

I'm attempting to design an algorithm that, given n, m, and vertices (where n = the dimension of a hypercube, m = the dimension of the faces we're trying to generate, and vertices is an ordered list ...

Problem: boost/geometry/geometries/point.hpp point template does not provide a way to construct an n-dimensional point type with non-zero values. For example: #include <boost/geometry/geometries/...

I have some code that takes parameters x1, x2... xn and outputs the value y. I want to find the parameters that maximize y. I picked randomly the parameters 1000 times, calculated the target value and ...

I have tried to find random points on the NxM dataset based on the lowest value of each M as low range and the highest value of each M on as high range. Here is the code: def generate_random_points(...

I wanted to write my own code to iterate over an n dimensional vector (where the dimension is known). Here is the code: void printing(const auto& i, const int dimension){ int k= dimension; ...