A study is a self-contained project in which models, variables, output responses, and approaches are defined.
Before you can create approaches you must first setup your Study by defining input variables and output responses.
View the computational results from the study Setup.
View new features for HyperStudy 2019.
Learn the basics and discover the workspace.
Discover HyperStudy functionality with interactive tutorials.
Explore the HyperStudy user interface.
Learn how to create, open, import and save models.
Use the Editor to create and edit template files, parameterize ASCII files, create variables or shape templates, recognize and edit Templex statements in files, execute parameterized files, and perform advanced editing.
A model is part of a study. It is the model of the system that is subjected to a study.
An input variable is a system parameter that influences the system performance in the chosen output response. It is an object that is varied by the study based on certain rules.
Select a numerical method to use when evaluating run data from the study Setup.
Run the approach to test the proper writing, executing, and extraction of the models.
An output response is a measurement of system performances, such as weight, volume, displacement, stress, strain, reaction forces, and frequency.
Check the integrity of data.
View summary of run data.
Visualize data trends.
Analyze distributions of run data.
Analyze dependency between two sets of data.
Analyze dependency between three sets of data.
Visualize dimension reduction.
Package reports for data generated during the study setup.
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.
Each approach in HyperStudy serves a different purpose in the design study.
Customize HyperStudy by registering solver scripts, functions, and optimizers, and defining user preferences files.
Keyboard shortcuts used to access HyperStudy features.
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