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Applications of Optimization

A brief description of some of the applications of optimization that can be performed using LS-OPT.

Parameter Identification

Parameter identification problems are non-linear inverse problems which can be solved using mathematical optimization.

Sensitivity Analysis

Sensitivity analysis allows the user to determine the significance of design variables when computing a selected response.

Multi-objective optimization (MOO)

Design objectives are often in conflict. Hence multiple objectives cannot be minimized to their single-objective minima at the same time.

Shape Optimization

Implementation and modification of geometrical parameters in LS-OPT.

Worst-case Design