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Sanjay Govindjee's Projects

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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)

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FEAPpv -- free personal version of the FEAP

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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

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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.

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