APM.SENSITIVITY - APMonitor Option
Main.OptionApmSensitivity History
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Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, 3(3), 701-729; doi:10.3390/pr3030701. [[https://www.mdpi.com/2227-9717/3/3/701/html|Article]]
to:
Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, 3(3), 701-729; doi:10.3390/pr3030701. [[https://www.mdpi.com/2227-9717/3/3/701/html|Article]]
Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, Vol. 86, pp. 18–32, 2016, DOI: 10.1016/j.compchemeng.2015.12.001. [[https://www.sciencedirect.com/science/article/pii/S0098135415003658|Article]]
Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, Vol. 86, pp. 18–32, 2016, DOI: 10.1016/j.compchemeng.2015.12.001. [[https://www.sciencedirect.com/science/article/pii/S0098135415003658|Article]]
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Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, 3(3), 701-729; doi:10.3390/pr3030701.
to:
Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, 3(3), 701-729; doi:10.3390/pr3030701. [[https://www.mdpi.com/2227-9717/3/3/701/html|Article]]
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Additional information on sensitivity calculation:
Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, 3(3), 701-729; doi:10.3390/pr3030701.
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%width=50px%Attach:apm.png
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%width=50px%Attach:apm.png [[Main/DbsGlobal|Global Options]] | %width=30px%Attach:fv.png %width=30px%Attach:mv.png %width=30px%Attach:sv.png %width=30px%Attach:cv.png[[Main/DbsVariable|Local Options]]
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(:title APM.SENSITIVITY - APMonitor Option:)
(:keywords APM.SENSITIVITY, Optimization, Estimation, Option, Configure, Default, Description:)
(:description Sensitivity Analysis: 0=Off, 1=On:)
%width=50px%Attach:apm.png
Type: Integer, Input
Default Value: 1
Description: Sensitivity Analysis
0=Off
1=On
SENSITIVITY determines whether a sensitivity analysis is performed as a post-processing step. The sensitivity analysis results are accessed either through the web-interface with the SENS tab or by retrieving the sensitivity.txt or sensitivity.htm files. The sensitivity is a measure of how the FV and MV values influence the objective function, SV, and CV final values. Another file, sensitivity_all.txt contains sensitivities for all of the dependent variable values with respect to the FV and MV values.
(:keywords APM.SENSITIVITY, Optimization, Estimation, Option, Configure, Default, Description:)
(:description Sensitivity Analysis: 0=Off, 1=On:)
%width=50px%Attach:apm.png
Type: Integer, Input
Default Value: 1
Description: Sensitivity Analysis
0=Off
1=On
SENSITIVITY determines whether a sensitivity analysis is performed as a post-processing step. The sensitivity analysis results are accessed either through the web-interface with the SENS tab or by retrieving the sensitivity.txt or sensitivity.htm files. The sensitivity is a measure of how the FV and MV values influence the objective function, SV, and CV final values. Another file, sensitivity_all.txt contains sensitivities for all of the dependent variable values with respect to the FV and MV values.