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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1570349","sourcedb":"PMC","sourceid":"1570349","source_url":"https://www.ncbi.nlm.nih.gov/pmc/1570349","text":"In contrast, inverse problems have only recently attracted attention in biology as a way to unravel the workings of cellular mechanisms. In inverse problems one looks for causes for observed or desired effects [11]. Mathematically, such problems are typically ill-posed, in particular unstable; special mathematical techniques, called \"regularization methods\", have to be used to cope with this ill-posedness. Many variational and iterative regularization techniques have been developed over the years and applied to a variety of problems in science, engineering and finance (see [11] and some references quoted there, and [12]).","tracks":[]}