APPM Instructor Search - Christian Lucero
| Event Description: Christian Lucero, Department of Statistics, Indiana University The Role of Optimal Experimental Design In the Solution of Inverse Problems Inverse problems persist in nearly every scientific field. Many inverse problems of interest are ill-posed and require the use of regularization to obtain stable estimates of the model parameters. One way to aid in the solution of inverse problems is to carefully design experiments in order to reduce the ill-conditioning of the system matrix while simultaneously collecting the best quality data. The focus of this talk is to briefly introduce inverse problems to the uninitiated and to give an overview of how to use A -optimal design criteria to obtain optimal experimental designs in both the well-posed and ill-posed cases. |
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| Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email: amassist@colorado.edu |