Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition von Kramer, Boris, Willcox, Karen E

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Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization von Peherstorfer, Benjamin, Willcox, Karen, Gunzburger, Max

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Projection-based model reduction: Formulations for physics-based machine learning von Swischuk, Renee, Mainini, Laura, Peherstorfer, Benjamin, Willcox, Karen

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Learning Nonlinear Reduced Models from Data with Operator Inference von Kramer, Boris, Peherstorfer, Benjamin, Willcox, Karen E

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Non-intrusive data-driven model reduction for differential–algebraic equations derived from lifting transformations von Khodabakhshi, Parisa, Willcox, Karen E.

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Data-driven model reduction for the Bayesian solution of inverse problems von Cui, Tiangang, Marzouk, Youssef M., Willcox, Karen E.

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Bayesian operator inference for data-driven reduced-order modeling von Guo, Mengwu, McQuarrie, Shane A., Willcox, Karen E.

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Information Reuse for Importance Sampling in Reliability-Based Design Optimization von Chaudhuri, Anirban, Kramer, Boris, Willcox, Karen E.

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Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process von McQuarrie, Shane A., Huang, Cheng, Willcox, Karen E.

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Decision-Making Under Uncertainty for a Digital Thread-Enabled Design Process von Singh, Victor, Willcox, Karen E

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The imperative of physics-based modeling and inverse theory in computational science von Willcox, Karen E, Ghattas, Omar, Heimbach, Patrick

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Multifidelity approaches for optimization under uncertainty von Ng, Leo W. T., Willcox, Karen E.

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Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation von Singh, Victor, Willcox, Karen E

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A probabilistic graphical model foundation for enabling predictive digital twins at scale von Kapteyn, Michael G, Pretorius, Jacob V R, Willcox, Karen E

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Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse von Ehre, Max, Papaioannou, Iason, Willcox, Karen E., Straub, Daniel

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Localized Discrete Empirical Interpolation Method von Peherstorfer, Benjamin, Butnaru, Daniel, Willcox, Karen, Bungartz, Hans-Joachim

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Multifidelity Dimension Reduction via Active Subspaces von Lam, Remi R., Zahm, Olivier, Marzouk, Youssef M., Willcox, Karen E.

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Domain Decomposition for Data-Driven Reduced Modeling of Large-Scale Systems von Farcas, Ionut-Gabriel, Gundevia, Rayomand P., Munipalli, Ramakanth, Willcox, Karen E.

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Data to decisions: Real-time structural assessment from sparse measurements affected by uncertainty von Mainini, Laura, Willcox, Karen E.

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Data-driven operator inference for nonintrusive projection-based model reduction von Peherstorfer, Benjamin, Willcox, Karen

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