Abstract: In this article, we present an efficient unified algorithm for the minimum Euclidean distance between two collections of compact convex sets, each of which can be a collection of convex ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Euclidean distance transforms are fundamental in image processing and computer vision, with critical applications in medical image analysis and computer graphics. However, existing ...

ABSTRACT: Purpose: This study describes a machine-learning approach utilizing patients' anatomical changes to predict parotid mean dose changes in fractionated radiotherapy for head-and-neck cancer, ...

To calculate the Euclidean distance between two points \(\mathbf{x}\) and \(\mathbf{y}\): import numpy as np # Define the points x = np.array([3, 4]) y = np.array([4 ...

Consider a hypothetical couple, Joe and April, who have been together for two years, a year and a half of which has been long-distance. Six months into their relationship, Joe moved across the country ...