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Title: Percept User Manual.

Abstract

This document is the main user guide for the Sierra/Percept capabilities including the mesh_adapt and mesh_transfer tools. Basic capabilities for uniform mesh refinement (UMR) and mesh transfers are discussed. Examples are used to provide illustration. Future versions of this manual will include more advanced features such as geometry and mesh smoothing. Additionally, all the options for the mesh_adapt code will be described in detail. Capabilities for local adaptivity in the context of offline adaptivity will also be included. This page intentionally left blank.

Authors:
 [1];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1367256
Report Number(s):
SAND-2017-5282
653409
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Carnes, Brian, and Kennon, Stephen Ray. Percept User Manual.. United States: N. p., 2017. Web. doi:10.2172/1367256.
Carnes, Brian, & Kennon, Stephen Ray. Percept User Manual.. United States. doi:10.2172/1367256.
Carnes, Brian, and Kennon, Stephen Ray. Mon . "Percept User Manual.". United States. doi:10.2172/1367256. https://www.osti.gov/servlets/purl/1367256.
@article{osti_1367256,
title = {Percept User Manual.},
author = {Carnes, Brian and Kennon, Stephen Ray},
abstractNote = {This document is the main user guide for the Sierra/Percept capabilities including the mesh_adapt and mesh_transfer tools. Basic capabilities for uniform mesh refinement (UMR) and mesh transfers are discussed. Examples are used to provide illustration. Future versions of this manual will include more advanced features such as geometry and mesh smoothing. Additionally, all the options for the mesh_adapt code will be described in detail. Capabilities for local adaptivity in the context of offline adaptivity will also be included. This page intentionally left blank.},
doi = {10.2172/1367256},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}
}

Technical Report:

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