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Modules
RobustOED
RobustOED — Experiment configuration
Define factors, responses, and constraints to generate efficient robust designs.
RobustOED visual request
Run a local D-optimal design for any catalog model, or the full Baranyi robustness workflow.
Load example
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Local D-optimal design
Sensitive-parameter screening
Scenario-optimum design-efficiency sensitivity analysis
Robust augmentation
Model and criterion
Full flow
Operation
i
RobustOED workflow step that will receive the current visual request payload.
Local D-optimal design
Sensitive-parameter screening
Scenario-optimum design-efficiency sensitivity analysis
Robust augmentation
Model
i
Choose the preset nonlinear model for the RobustOED request.
Baranyi (6 parameters)
Emax (3 parameters)
Hill (4 parameters)
Custom
Model formula
i
Sympy scalar expression submitted as the nonlinear model formula.
Parameters
Parameters
i
Editable RobustOED parameter names and nominal numeric values.
y
0
y_{0}
y
m
a
x
\mathrm{ymax}
μ
m
a
x
\mu_{\mathrm{max}}
h
0
h_{0}
ν
\nu
m
m
t min
i
Lower bound of the t design-variable interval.
t max
i
Upper bound of the t design-variable interval.