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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