Joint model state-parameter retrieval through the evolutionary data assimilation approach

Gift Dumedah; Jeffrey Walker

Joint model state-parameter retrieval through the evolutionary data assimilation approach

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	MODSIM 2013 20th International Congress on Modelling and Simulation Adapting to change: the multiple roles of modelling
Editors	J Piantadosi, R S Anderssen, J Boland
Place of Publication	Australia
Publisher	ACTA Press
Pages	2876 - 2882
Number of pages	7
ISBN (Print)	9780987214324
Publication status	Published - 2013
Event	International Congress on Modelling and Simulation 2013: Adapting to Change: the multiple roles of modelling - Adelaide Convention Centre, Adelaide, Australia Duration: 1 Dec 2013 → 6 Dec 2013 Conference number: 20th https://www.mssanz.org.au/modsim2013/

Conference

Conference	International Congress on Modelling and Simulation 2013
Abbreviated title	MODSIM 2013
Country/Territory	Australia
City	Adelaide
Period	1/12/13 → 6/12/13
Internet address	https://www.mssanz.org.au/modsim2013/

Cite this

@inproceedings{9b61a14176da42fca8e57260729fd6c7,

title = "Joint model state-parameter retrieval through the evolutionary data assimilation approach",

author = "Gift Dumedah and Jeffrey Walker",

year = "2013",

language = "English",

isbn = "9780987214324",

pages = "2876 -- 2882",

editor = "J Piantadosi and Anderssen, {R S} and J Boland",

booktitle = "MODSIM 2013 20th International Congress on Modelling and Simulation Adapting to change: the multiple roles of modelling",

publisher = "ACTA Press",

note = "International Congress on Modelling and Simulation 2013 : Adapting to Change: the multiple roles of modelling, MODSIM 2013 ; Conference date: 01-12-2013 Through 06-12-2013",

url = "https://www.mssanz.org.au/modsim2013/",

}

Dumedah, G & Walker, J 2013, Joint model state-parameter retrieval through the evolutionary data assimilation approach. in J Piantadosi, RS Anderssen & J Boland (eds), MODSIM 2013 20th International Congress on Modelling and Simulation Adapting to change: the multiple roles of modelling. ACTA Press, Australia, pp. 2876 - 2882, International Congress on Modelling and Simulation 2013, Adelaide, South Australia, Australia, 1/12/13.

Joint model state-parameter retrieval through the evolutionary data assimilation approach. / Dumedah, Gift; Walker, Jeffrey.
MODSIM 2013 20th International Congress on Modelling and Simulation Adapting to change: the multiple roles of modelling. ed. / J Piantadosi; R S Anderssen; J Boland. Australia: ACTA Press, 2013. p. 2876 - 2882.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Joint model state-parameter retrieval through the evolutionary data assimilation approach

AU - Dumedah, Gift

AU - Walker, Jeffrey

N1 - Conference code: 20th

PY - 2013

Y1 - 2013

UR - http://www.mssanz.org.au/modsim2013/L14/dumedah.pdf

M3 - Conference Paper

SN - 9780987214324

SP - 2876

EP - 2882

BT - MODSIM 2013 20th International Congress on Modelling and Simulation Adapting to change: the multiple roles of modelling

A2 - Piantadosi, J

A2 - Anderssen, R S

A2 - Boland, J

PB - ACTA Press

CY - Australia

T2 - International Congress on Modelling and Simulation 2013

Y2 - 1 December 2013 through 6 December 2013

ER -

Joint model state-parameter retrieval through the evolutionary data assimilation approach

Conference

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Cite this