Optimetrics

Parametric

In a parametric analysis, you define one or more variable sweep definitions, each specifying a series of variable values within a range. For example, you can parameterize component values. (See Variables in Maxwell for more information.) Optimetrics solves the design at each variation. You can then compare the results to determine how each design variation affects the performance of the design. Parametric analyses are often used as precursors to optimization solutions because they help to determine a reasonable range of variable values for the optimization analysis.

Optimization

For an optimization analysis, you identify the cost function and the optimization goal. Optimetrics changes the design parameter values to meet that goal. The cost function can be based on any solution quantity that Maxwell can compute.

Sensitivity

In a sensitivity analysis, you use Optimetrics to explore the vicinity of the design point to determine the sensitivity of the design to small changes in variables.

Tuning

Tuning allows you to change variable values interactively while monitoring the performance of the design. If you want to ensure that tuning does not resolve variations already solved by parametric setup, you must check Save Fields Mesh in the Options tab of the optimetrics setup.

Statistical

In a statistical analysis, you use Optimetrics to determine the distribution of a design's performance, which is caused by a statistical distribution of variable values.

Design of Experiments involves the creation of a response surface that depicts and predicts how variable values will affect the design.