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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.
Post Processing
View the computational results from the DOE.
Gradient Post Processing
Visualize gradients using vectors.

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.
    - Evaluate
      Run the approach.
    - Post Processing
      View the computational results from the DOE.
      - 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.
      - Gradient Post Processing
        Visualize gradients using vectors.
      - Pareto Plot Post Processing
        Plot the effects of input variables on output responses in hierarchical order (highest to lowest).
      - Linear Effects Post Processing
        Measure the result of a single variable moving.
      - Interactions Post Processing
        Measure the result of two variables moving simultaneously.
    - 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.

Gradient Post Processing

Visualize gradients using vectors.

Analyze Vector

Analyze the vector in a gradient plot from the Gradient tab. Representing gradients as a vector field is an effective way to see gradients in space.

From the Post-Processing step, click the Gradient tab.
Use the Inputs and Output tabs of the Channel selector to select three dimensions of data to plot.
Analyze the direction and intensity of the vector created using the selected data sets.

Figure 1.

Gradient Tab Settings

Settings to configure the plots displayed in the Gradient tab.

In the Gradient tab, use the Channel selector to select data to display in the gradient plot.

Channel Settings

Inputs: X-Bounds: display the X bounds in the plot.; Y-Bounds: display the Y bounds in the plot.
Output: Gradient: display the vector in the plot.