Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5 (doi:10.18419/darus-3154)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5

Identification Number:

doi:10.18419/darus-3154

Distributor:

DaRUS

Date of Distribution:

2022-10-11

Version:

1

Bibliographic Citation:

Beschle, Cedric; Barth, Andrea, 2022, "Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5", https://doi.org/10.18419/darus-3154, DaRUS, V1

Study Description

Citation

Title:

Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5

Identification Number:

doi:10.18419/darus-3154

Authoring Entity:

Beschle, Cedric (University of Stuttgart)

Barth, Andrea (University of Stuttgart)

Producer:

Beschle, Cedric

Grant Number:

251654672

Distributor:

DaRUS

Access Authority:

Beschle, Cedric

Access Authority:

Beschle, Cedric

Depositor:

Beschle, Cedric

Date of Deposit:

2022-09-29

Holdings Information:

https://doi.org/10.18419/darus-3154

Study Scope

Keywords:

Mathematical Sciences, Finite Element Method, A-Posteriori Error Estimates, Uncertainty Visualization

Abstract:

Python code to generate the meshes and FEM solutions to Section 5 of the paper <i>Uncertainty visualization: Fundamentals and recent developments</i>.<br> Comments are in the code to explain it.<br> Paraview is used for the visualization.

Kind of Data:

Source code

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Hägele, David, Schulz, Christoph, Beschle, Cedric, Booth, Hannah, Butt, Miriam, Barth, Andrea, Deussen, Oliver, & Weiskopf, Daniel (2022). Uncertainty visualization: Fundamentals and recent developments. it - Information Technology 64(4-5), 121-132.

Identification Number:

10.1515/itit-2022-0033

Bibliographic Citation:

Hägele, David, Schulz, Christoph, Beschle, Cedric, Booth, Hannah, Butt, Miriam, Barth, Andrea, Deussen, Oliver, & Weiskopf, Daniel (2022). Uncertainty visualization: Fundamentals and recent developments. it - Information Technology 64(4-5), 121-132.

Other Study-Related Materials

Label:

main_section_5.py

Notes:

text/x-python