A data-driven observation system for backward fractional diffusion-wave equations shares linear structure with the forward problem, enabling model reduction that improves inverse-problem efficiency.
A randomized progres- sive iterative regularization method for data fitting problems
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A data-driven model reduction approach for backward fractional diffusion-wave equations
A data-driven observation system for backward fractional diffusion-wave equations shares linear structure with the forward problem, enabling model reduction that improves inverse-problem efficiency.