HyperStudy

2022.3

Home
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 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.
Post Processing
View the computational results from the Sampling Fit.
Data Sources Post Processing
Analyze data sources.

What's New
Get Started
Tutorials
Manage Files and Data
Perform Studies
Learn the Approaches
Customize HyperStudy
Keyboard Shortcuts
Frequently Asked Questions

Index

2022.3

HyperStudy

What's New
View new features for HyperStudy 2022.3.
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.
  - 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.
    - Add a Sampling Fit 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 Fit.
    - Evaluate
      Run the approach.
    - Post Processing
      View the computational results from the Sampling Fit.
      - Integrity Post Processing
        Check the integrity of data.
      - Summary Post Processing
        View summary of run data.
      - Parallel Coordinate Post Processing
        Visualize data trends.
      - Distribution Post Processing
        Analyze distributions of run data.
      - Scatter Post Processing
        Analyze dependency between two sets of data.
      - Scatter 3D Post Processing
        Analyze dependency between three sets of data.
      - Ordination Post Processing
        Visualize dimension reduction.
      - Data Sources Post Processing
        Analyze data sources.
        
        Analyze Data Sources
        Build arrays of information based on data sources using the row and column index.
      - Gradient Post Processing
        Visualize gradients using vectors.
      - Diagnostics Post Processing
        Analyze the response surface quality.
      - Residuals Post Processing
        Identify design errors.
      - Trade Off Post Processing
        Perform "What If" scenarios.
    - Create Reports
      Package reports for data generated during the approach.
  - 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 Simulation Help

HyperStudy

2022.3

Home
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 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.
Post Processing
View the computational results from the Sampling Fit.
Data Sources Post Processing
Analyze data sources.

What's New
Get Started
Tutorials
Manage Files and Data
Perform Studies
Learn the Approaches
Customize HyperStudy
Keyboard Shortcuts
Frequently Asked Questions

Index

Data Sources Post Processing

Analyze data sources.

Analyze Data Sources
Build arrays of information based on data sources using the row and column index.

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