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Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Introduction To The Usu Library Of Solutions To The Einstein Field Equations, Ian M. Anderson, Charles G. Torre
Introduction To The Usu Library Of Solutions To The Einstein Field Equations, Ian M. Anderson, Charles G. Torre
Tutorials on... in 1 hour or less
This is a Maple worksheet providing an introduction to the USU Library of Solutions to the Einstein Field Equations. The library is part of the DifferentialGeometry software project and is a collection of symbolic data and metadata describing solutions to the Einstein equations.
Principles Of Physics Ii Lab (Jupyter), Tatiana Krivosheev, Caroline Sheppard, Patricia Todebush, Bram Boroson, Justin Mays
Principles Of Physics Ii Lab (Jupyter), Tatiana Krivosheev, Caroline Sheppard, Patricia Todebush, Bram Boroson, Justin Mays
Physics and Astronomy Ancillary Materials
This collection of open laboratory materials for Principles of Physics II was created under a Round Four ALG Textbook Transformation Grant. These materials require the open source Jupyter application.
Affordable Learning Georgia Grants Collections are intended to provide faculty with the frameworks to quickly implement or revise the same materials as a Textbook Transformation Grants team, along with the aims and lessons learned from project teams during the implementation process.
Principles Of Physics I Lab (Jupyter), Tatiana Krivosheev, Caroline Sheppard, Patricia Todebush, Bram Boroson, Justin Mays
Principles Of Physics I Lab (Jupyter), Tatiana Krivosheev, Caroline Sheppard, Patricia Todebush, Bram Boroson, Justin Mays
Physics and Astronomy Ancillary Materials
This collection of open laboratory materials for Principles of Physics I was created under a Round Four ALG Textbook Transformation Grant. These materials require the open source Jupyter application.
Affordable Learning Georgia Grants Collections are intended to provide faculty with the frameworks to quickly implement or revise the same materials as a Textbook Transformation Grants team, along with the aims and lessons learned from project teams during the implementation process.
Code For "Noise-Enhanced Coding In Phasic Neuron Spike Trains", Cheng Ly, Brent D. Doiron
Code For "Noise-Enhanced Coding In Phasic Neuron Spike Trains", Cheng Ly, Brent D. Doiron
Statistical Sciences and Operations Research Data
This zip file contains Matlab scripts and ode (XPP) files to calculate the statistics of the models in "Noise-Enhanced Coding in Phasic Neuron Spike Trains". This article is published in PLoS ONE.