There are 0 repository under dispersion topic.
Numba-accelerated computation of surface wave dispersion
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
Inversion of dispersion curves using Evolutionary Algorithms
The CMS is a multiscale stochastic Lagrangian framework developed by Paris' Lab at the Rosenstiel School of Marine, Atmospheric & Earth Science to study complex behaviors, giving probabilistic estimates of dispersion, connectivity, fate of pollutants, and other Lagrangian phenomena. This repository facilitates community contributions to CMS modules
A Python package for surface-wave inversion pre- and post-processing.
Optical Transfer Matrix Solver with index dispersion
A python module for mode calculations in cylindrical and planar fibers.
1-D Seismic Surface Wave Isotropic Group/Phase Speed Dispersion/Eigenfunction/Sensitivity Kernel
Camera effects like chromatic aberration, vignetting, depth of field and barrel distortion.
Implementation of Data Preprocessing techniques such as handling missing values, noise smoothing, PCA, etc.
PyQBMMlib is a Python extension of QBMMlib.
Polarization Mathematic Simulation Library
Computes the anti-crossing between a cavity mode and a dipole with the transfer matrix method
Simulations of language evolution and phylogenetic/feature dynamics, as described in: "Kapur, Rhea and Phillip Rogers. 2020. Modeling language evolution and feature dynamics in a realistic geographic environment. 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain."
Bundle Adjustment for Close-Range Photogrammetry
Chi-squared distribution variance.
Inverse gamma distribution variance.
Laplace distribution variance.
Calculate the standard deviation of a strided array using Welford's algorithm.
Business Analyst Portfolio
Compute eigencurves of matrix flows and find osculations and mode crossings
Calculate the variance of a single-precision floating-point strided array.
Compute a sample Pearson product-moment correlation matrix incrementally.