Scalable and Guaranteed Computation for Structured Systems
|Location:||103 Transportation Building|
|Sponsor:||ISE Grad Seminar|
Within the realm of computational methods, there has been a long-standing trade-off between the scalability of different techniques and their optimality guarantees. However, most of today’s systems—such as transportation, power, and brain networks—are large-scale and safety-critical, thereby requiring both scalability and optimality guarantees. To address these challenges, we develop structure-aware and scalable computational methods for safety-critical systems that come equipped with performance guarantees. We show that exploiting hidden structures—such as graph-induced or spectral sparsity—is a key game-changer in the pursuit of scalable and guaranteed computational methods for real-world problems.
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