sensitivity analysis

A low-cost, goal-oriented ‘compact proper orthogonal decomposition’ basis for model reduction of static systems

A novel model reduction technique for static systems is presented. The method is developed using a goal‐oriented framework, and it extends the concept of snapshots for proper orthogonal decomposition (POD) to include (sensitivity) derivatives of the …

A low-cost, goal-oriented ‘compact proper orthogonal decomposition’ basis for model reduction of static systems

Reduced basis methods are powerful tools that can significantly speed up computationally expensive analyses in a variety of 'many-query' and real-time applications, including de- sign optimization. Unfortunately, these techniques produce …