A log-log scale is a type of graph that uses logarithmic scales on both the x-axis and y-axis, allowing for a better visualization of data that spans several orders of magnitude. This scaling method is particularly useful for identifying power-law relationships and trends in data sets, especially in the context of inverse problems where parameters can vary widely. By compressing large ranges of values, the log-log scale reveals patterns that might not be easily visible on standard linear scales.
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