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Solving a System of Linear Equations with a Matrix and Python

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 ...
SciELO

On the eigenvalues of Euclidean distance matrices

In this paper, the notion of equitable partitions (EP) is used to study the eigenvalues of Euclidean distance matrices (EDMs). In particular, EP is used to obtain the characteristic polynomials of ...
Scientific Research Publishing

Google Distance Matrix API.

KEYWORDS: Vehicle Routing Problem (VRP), Google Maps Distance Matrix API, Python, Pulp, Mixed Integer Linear Programming, Transportation, Optimisation Problem, Time Window, Mathematical Modelling ...
Scientific Research Publishing

Behrens, T., Schmidt, K., Rossel, R.A.V., Gries, P., Scholten, T. and MacMillan, R.A. (2018) Spatial Modelling with Euclidean Distance Fields and Machine Learning.

ABSTRACT: Spatial heterogeneity refers to the variation or differences in characteristics or features across different locations or areas in space. Spatial data refers to information that explicitly ...
IEEE

Denoising and Completion of Euclidean Distance Matrix from Multiple Observations

Abstract: For a point set, Euclidean distance matrix (EDM) is the matrix consisting of squared distances between every pair of points in the set. It frequently appears in wide ranging applications ...
SciELO

Euclidean distance matrices: special subsets, systems of coordinates and multibalanced matrices

Although of interest for over a century, most useful results concerning Euclidean distance matrices (EDMs) have appeared during the last thirty years, motivated by applications to the multidimensional ...