A linear inverse problem involves reconstructing an unknown quantity from observed data using linear equations. This type of problem arises in various fields where the relationship between the observed data and the unknowns can be expressed as a linear equation, making it possible to apply techniques for solving such equations to find the unknowns. The key challenge is that the observed data may contain noise or be incomplete, complicating the reconstruction process.
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