Glossary

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 Successive (or Sequential) Approximation Method

An iterative method using the successive solution of approximate subproblems.

 System identification

A procedure in which a numerical model is calibrated by optimizing selected parameters in order to minimize the residual error with respect to certain targeted responses. The targeted responses are usually derived from experimental results.

 Target

A desired value for a response. The optimizer will not use this value as a rigid constraint. Instead, it will try to get as close as possible to the specified value.

 Template

An input file in which some of the data has been replaced by variable names, e.g. <>. A template may also contain the LS-DYNA *PARAMETER keyword with corresponding @-parameters. LS-OPT will recognize the parameters defined in the template and display them in the GUI.

 Trade-off curve

A curve constructed using Pareto optimal designs.

 Transformed variables

Variables which are transformed (mapped) to a different n-space using a functional relationship. The experimental design and optimization are performed in this space.

 Variable screening

Method to remove insignificant variables from the design optimization process based on a ranking of regression coefficients using analysis of variance (ANOVA). (See also ANOVA).

 Weight

A measure of importance of a response function or objective. Typically varies between 0 and 1.

 Work directory

The directory is which the input files reside and where output is produced. See also Run directory.