1–20 of 45 hits
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    Hessian-based Dimension Reduction for Optimization Under Uncertainty

    Panda, Kinshuk / Hicken, Jason E. | AIAA | 2018

    Immersed Boundary Method as an Inverse Problem

    Yan, Jianfeng / Hicken, Jason E. | AIAA | 2018

    An Adaptive Sampling Method for Gradient-Enhanced Surrogate Modeling

    Bedonian, Garo / Hicken, Jason E. | AIAA | 2022

    High-order discontinuous Galerkin Difference cut-cell discretization

    Kaur, Sharanjeet / Hicken, Jason E. | AIAA | 2021

    An Adaptive Sampling Method for Gradient-Enhanced Surrogate Modeling

    Bedonian, Garo / Hicken, Jason E. | TIBKAT | 2022

    An Explicit Level-Set Formula to Approximate Geometries

    Hicken, Jason E. / Kaur, Sharanjeet | AIAA | 2022

    HIGH-ORDER DISCONTINUOUS GALERKIN DIFFERENCE CUT-CELL DISCRETIZATION

    Kaur, Sharanjeet / Hicken, Jason E. | TIBKAT | 2021

    Hessian-based Dimension Reduction for Optimization Under Uncertainty (AIAA 2018-3102)

    Panda, Kinshuk / Hicken, Jason E. | British Library Conference Proceedings | 2018

    Arnoldi-based Sampling for High-dimensional Optimization using Imperfect Data (AIAA 2015-2943)

    Hicken, Jason E. / Ashley, Anthony | British Library Conference Proceedings | 2015

    Optimization Algorithm for Systems Governed by Chaotic Dynamics

    Ashley, Anthony / Hicken, Jason E. | AIAA | 2014