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Showing 1 to 3 of 3 for “"multi-parameter estimation"”.

  1. Multi-parameter estimation in glacier models with adjoint and algorithmic differentiation

    … which are still poorly understood. Input parameters, such as basal drag and topography, have large effects on the applied stress and flow fields but whose direct observation is very difficult, if not impossible. Computational methods are designed to aid in the development of ice sheet …

    mit Repository record for Multi-parameter estimation in glacier models with adjoint and algorithmic differentiation (opens in a new tab)

  2. A non-clinical method to simultaneously estimate thermal conductivity, volumetric specific heat, and perfusion of in-vivo tissue

    … modified Pennes' equation. Using a least-squares parameter estimation method with regularization, the thermal properties could be estimated from the temperature response to the known applied heat flux. The method was tested experimentally using a new agar-water tissue phantom designed for this …

    vt Repository record for A non-clinical method to simultaneously estimate thermal conductivity, volumetric specific heat, and perfusion of in-vivo tissue (opens in a new tab)

  3. Exploring quantum geometry and quantum sensing with spin defects in diamond

    … that characterizes a tensor gauge field in parameter space. Furthermore, we find that the QGT plays a significant role in quantum multi-parameter estimation. It not only quantifies the precision limit when estimating parameters but also links to the attainability of precision bounds. Thanks …

    mit Repository record for Exploring quantum geometry and quantum sensing with spin defects in diamond (opens in a new tab)