A parameter-bounding approach to sensitivity assessment of large simulation models

MODSIM05 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings

Volumn , Issue , 2005, Pages 2519-2525

  Norton, J P ^a   Chiew, F H S ^b   Dandy, G C ^c   Maier, H R ^c  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Inverse problems; Parameter bounds; Sensitivity assessment; Simulation models

Indexed keywords

ADELAIDE; APPROXIMATE INVERSION; APPROXIMATION ERRORS; BIODIVERSITY CONSERVATION; FEASIBLE PARAMETER SETS; FEASIBLE SET; HIGH COMPUTING LOAD; LINEAR DYNAMICS; LINEAR PARAMETERS; MELBOURNE; MODEL PARAMETERS; MURRAY-DARLING BASIN; NEW PROJECTS; NON-LINEAR MODEL; NUMERICAL SEARCH; ONE-STEP MODEL; ORTHOTOPIC; OUTPUT BOUNDS; OUTPUT RANGE; OUTPUT VARIABLES; PARAMETER BOUNDS; PARAMETER COMBINATION; PARAMETER RANGE; PARAMETER VALUES; RANK ORDER; SENSITIVITY ASSESSMENT; SET INVERSION; SIMULATION MODEL; SOUTH AUSTRALIA; STANDARD ALGORITHMS; UNCERTAINTY ASSESSMENT; REDUNDANT PARAMETERS;

APPROXIMATION ALGORITHMS; BIODIVERSITY; CONSERVATION; DECISION MAKING; DYNAMICS; INVERSE PROBLEMS; PARAMETER ESTIMATION; RATING; NONLINEAR SYSTEMS;

COMPUTER SIMULATION; PARAMETER ESTIMATION;

EID: 51249115074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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