Surrogate Models / Reduced Order Modeling

We present various methods for interpolating the output of expensive computer models with cheaper reduced order models. We examine methods statistical models such as Kriging/Gaussian process emulators as well as reduced basis methods.

Documents

References

• A Taxonomy of Global Optimization Methods Based on Response Surfaces. Donald Jones.
• Computer Experiments. Art Owen and James Koehler.
• Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space. Tan Bui-Thanh, Karen Willcox, and Omar Ghattas.

• Stanford University
• Contact Information
• Mechanical Engineering
• ICME