Search Results - McQuarrie, Shane A.

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  1. 1
    Bayesian operator inference for data-driven reduced-order modeling

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

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  2. 2
    Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

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

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  3. 3
    Concurrent MultiParameter Learning Demonstrated on the Kuramoto--Sivashinsky Equation

    Concurrent MultiParameter Learning Demonstrated on the Kuramoto--Sivashinsky Equation by Pachev, Benjamin, Whitehead, Jared P., McQuarrie, Shane A.

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  4. 4
    Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference

    Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference by McQuarrie, Shane A., Khodabakhshi, Parisa, Willcox, Karen E.

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  5. 5
    Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

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

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  6. 6
    Bayesian operator inference for data-driven reduced-order modeling

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

    Published in arXiv.org
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  7. 7
    Data-driven reduced-order models via regularized operator inference for a single-injector combustion process

    Data-driven reduced-order models via regularized operator inference for a single-injector combustion process by McQuarrie, Shane A, Huang, Cheng, Willcox, Karen E

    Published in arXiv.org
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  8. 8
    Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems

    Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems by McQuarrie, Shane A, Chaudhuri, Anirban, Willcox, Karen E, Guo, Mengwu

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  9. 9
    Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference

    Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference by McQuarrie, Shane A, Khodabakhshi, Parisa, Willcox, Karen E

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  10. 10
    Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation

    Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation by Pachev, Benjamin, Whitehead, Jared P, McQuarrie, Shane A

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  11. 11
    Volume and geometry of homogeneously adequate knots

    Volume and geometry of homogeneously adequate knots by Bartholomew, Paige, McQuarrie, Shane, Purcell, Jessica S, Weser, Kai

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