A gradient-flow particle algorithm designs continuous measurement locations for nonlinear inverse problems and improves parameter reconstruction on Lorenz-63 and Schrödinger tests.
Introduction to optimum design
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Continuous nonlinear adaptive experimental design with gradient flow
A gradient-flow particle algorithm designs continuous measurement locations for nonlinear inverse problems and improves parameter reconstruction on Lorenz-63 and Schrödinger tests.