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CI-MOR Final Report: Analysis and Validation of Critical Infrastructure Models using Model Order Reduction

Hart, William E.; Johnson, Emma S.; Phillips, Cynthia A.; Aquino, Alejandro; Ammari, Bashar; Arguello, Bryan; Davis, Soren A.; Gearhart, Jared L.; Laird, Carl D.; Mattes, Connor L.; Molzahn, Daniel; Pinar, Ali; Viens, Matthew P.

This report summarizes the research and capabilities developed as part of the project “Analysis and Validation of Critical Infrastructure Models using Model Order Reduction” (CI-MOR) LDRD project. CI-MOR research enables the solution of large, complex optimization models that naturally arise in national security challenges involving critical infrastructures. Specifically, CI-MOR researchers developed methods to (1) rigorously approximate complex, nonlinear optimization formulations, (2) identify alternative near-optimal solutions, (3) accelerate optimization workflows used for complex applications, and (4) rigorously integrate domain knowledge in stochastic-process models. This report provides an overview of the research done in CI-MOR, and we describe application exemplars used to illustrate CI-MOR capabilities. Furthermore, we describe the software developed by CI-MOR that researchers can leverage to analyze new applications.

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