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Perform Studies
A study is a self-contained project in which models, variables, output responses, and approaches are defined.
Setup the Approaches
Once the study Setup is complete, an unlimited combination of approaches can be added to a study. A study approach is a specific set of steps taken to study the mathematical model of a design.
Setup DOE Studies
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.
Select a Numerical Method
Select a numerical method to use when evaluating the DOE.
Reuse Run Data
An Inclusion matrix contains existing data that will be appended into the newly created approach as known data points. This data typically comes from other approaches, such as DOEs or previously run Optimizations.

Welcome
What's New
View new features for HyperStudy 2024.1.
Get Started
Learn the basics and discover the workspace.
Tutorials
Discover HyperStudy functionality with interactive tutorials.
Manage Files and Data
Create, open, import, and save models.
Perform Studies
A study is a self-contained project in which models, variables, output responses, and approaches are defined.
- Setup the Study
  Before you can create approaches you must first setup your Study by defining input variables and output responses.
- Setup the Approaches
  Once the study Setup is complete, an unlimited combination of approaches can be added to a study. A study approach is a specific set of steps taken to study the mathematical model of a design.
  - Setup DOE Studies
    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.
    - Add a DOE Approach
      Add approach to the study.
    - Define Definition
      Define the models, input variables, and output responses to be used in the study.
    - Select a Numerical Method
      Select a numerical method to use when evaluating the DOE.
      - DOE Methods
        Numerical methods available for a DOE approach.
      - Edit the Run Matrix
        Edit the summary of run data stored in the run matrix by editing existing runs or adding new run data.
      - Reuse Run Data
        An Inclusion matrix contains existing data that will be appended into the newly created approach as known data points. This data typically comes from other approaches, such as DOEs or previously run Optimizations.
    - Evaluate
      Run the approach.
    - Post Processing
      View the computational results from the DOE.
    - Create Reports
      Package reports for data generated during the approach.
  - Setup Fit Studies
    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.
  - Setup Optimization Studies
    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.
  - Setup Sampling Fit Studies
    A Sampling Fit is a combination of space-filling DOE method and mathematical model trained by the data generated.
  - Setup Stochastic Studies
    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.
  - Setup Basic Studies
    A Basic approach can be used to test nominal values and bounds by performing a nominal run, system bound check, or sweep.
  - Setup Verification Studies
    A Verification approach compares two data sets in a side by side comparison.
Learn the Approaches
Each approach in HyperStudy serves a different purpose in the design study.
Customize HyperStudy
Customize HyperStudy by registering solver scripts, functions, and optimizers, and defining user preferences files.
Keyboard Shortcuts
Keyboard shortcuts used to access HyperStudy features.
Frequently Asked Questions
This section provides quick responses to typical and frequently asked questions regarding HyperStudy.

View All Altair HyperWorks Help

Reuse Run Data

An Inclusion matrix contains existing data that will be appended into the newly created approach as known data points. This data typically comes from other approaches, such as DOEs or previously run Optimizations.

In a DOE, an inclusion can be used to extend an existing DOE or concatenate data sets.

Go to the Specifications tab of the Specifications step.
In the bottom of the work area, click Add Matrix.
In the Origin column, select the source of the data.

Approach

Imports data from an approach.

Manual Edit

Manually imports data from an approach, HyperStudy post-processing file (*.data), and external text file.

Text File

Imports data from an external text file. Settings such as location and name are cached in the study file, enabling use in batch mode.
In the Origin Settings column, select the approach containing run data or browse to the text file.
Optional: If Manual Edit is selected in the Origin column, click Edit in the Display column.
Review the imported run data.