Python work flow for global sensitivity analysis

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URL

Journal Title

Journal ISSN

Volume Title

Insinööritieteiden korkeakoulu | Master's thesis

Authors

Date

2019-05-06

Department

Major/Subject

Mcode

Degree programme

Master's Programme in Mechanical Engineering (MEC)

Language

en

Pages

6+31

Series

Description

Supervisor

Otto, Kevin

Thesis advisor

Otto, Kevin

Keywords

global sensitivity analysis, surrogate model, python, tool chain, low-discrepancy sequences

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Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-201905122961

Collections

[dipl] Insinööritieteiden korkeakoulu / ENG