sanjayg0/feappv

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sanjayg0/feappv

sanjayg0

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FEAPpv -- free personal version of the FEAP

epcms

This repository contains the Matlab and data files for the book Example Problems for Continuum Mechanics of Solids by L. Anand and S. Govindjee (2020)

ims

Matlab codes from the book Introduction to Mechanics of Solids, Oxford University Press (2022) by Lallit Anand, Ken Kamrin, and Sanjay Govindjee; and Matlab codes from the companion problems book, Example Problems for Introduction to Mechanics of Solid Materials: Student Edition (2022) by Lallit Anand, Ken Kamrin, and Sanjay Govindjee

PLoM

PLoM is an open source python package that implements the algorithm of Probabilistic Learning on Manifolds with and without constraints (Soize and Ghanem, 2016; Soize and Ghanem, 2019) for generating realizations of a random vector in a finite Euclidean space that are statistically consistent with a given dataset of that vector. The package mainly consists of python modules and invokes a dynamic library for more efficiently computing the gradient of the potential, and can be imported and run on Linux, macOS, and Windows platform. This repository also archives the unit/integration tests and examples of applying the algorithm to practical engineering problems.

Jupyter Notebook