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Learn the Approaches
Each approach in HyperStudy serves a different purpose in the design study.
DOE
A DOE is a series of tests in which purposeful changes are made to the input variables to investigate their effect upon the output responses and to get an understanding of the global behavior of a design problem. By running a DOE, you can determine which factors are most influential on an output response.
DOE Variables
Common terminology in a DOE.

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Learn the Approaches
Each approach in HyperStudy serves a different purpose in the design study.
- DOE
  A DOE is a series of tests in which purposeful changes are made to the input variables to investigate their effect upon the output responses and to get an understanding of the global behavior of a design problem. By running a DOE, you can determine which factors are most influential on an output response.
  - DOE Variables
    Common terminology in a DOE.
  - Confounding and Resolutions
    Confounding occurs when two factors are associated with each other or “travel together” and the effect of one is confused with the effect of the other.
  - DOE Methods
    Numerical methods available for a DOE approach.
- Fit (Approximation)
  A Fit is a mathematical model that is trained by data and is capable of predicting output response variables for a given set of input variables.
- Optimization
  An Optimization is a mathematical procedure used to determine the best design for a set of given constraints, by changing the input variables in an automatic manner.
- Sampling Fit
  A Sampling Fit is a combination of space-filling DOE method and mathematical model trained by the data generated.
- Stochastic
  A Stochastic approach is a method of probabilistic analysis where the input variables are defined by a probability distribution, and consequently the corresponding output responses are not a single deterministic value, but a distribution.
- Basic
  A Basic approach can be used to test nominal values and bounds by performing a nominal run, system bound check, or sweep.
- Verification
  A Verification approach compares two data sets in a side by side comparison.
- PhysicsAI
  A PhysicsAI approach is used to build fast predictive models from simulation data.
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Frequently Asked Questions
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DOE Variables

Common terminology in a DOE.

Variables

System parameters that can be changed to improve the system performance.

Reduced Variables

In DOE terminology, it is standard practice to work with reduced variables that have a range of -1 to 1 for each real variable. Reduced variables are associated to real variables with the following formula:

y = \frac{x - \frac{(x_{\max} + x_{\min})}{2}}{\frac{x_{\max} - x_{\min}}{2}}

where x is the initial variable, and y is the reduced variable.

Levels

Values taken by y in the range [-1; +1]. The number of levels per variable to be considered depends on the level of non-linearity in the problem; for a linear model two levels are sufficient; for a quadratic model three levels are needed.