Develops and tests algorithms adapting inverse Henderson problem solvers to parameterize multi-component interaction potentials from XL-MS data in homogeneous and three-phase systems.
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Three one-parameter regularization operator families with a new selection rule and error bounds are proposed to stably identify the unknown source from noisy data in the time-fractional equation.
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Methods for Inferring Interaction Potentials from Cross-Linking Mass Spectrometry Data
Develops and tests algorithms adapting inverse Henderson problem solvers to parameterize multi-component interaction potentials from XL-MS data in homogeneous and three-phase systems.
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Regularization operators for identifying the unknown source in the time-fractional convection-diffusion-reaction equation
Three one-parameter regularization operator families with a new selection rule and error bounds are proposed to stably identify the unknown source from noisy data in the time-fractional equation.