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The discussion centers on the possibility of recovering mathematical expressions from graphical representations, specifically in the context of Sudoku puzzles. Users suggest employing curve fitting techniques, particularly referencing Plank's curve for black body radiation and the Chi-squared distribution. The conversation highlights the use of Polynomial Regression for data fitting, with resources provided for a downloadable Java version of the tool. The participants emphasize the need for a thorough analytical approach to derive meaningful formulas from observed data.
PREREQUISITESMathematicians, data analysts, and anyone interested in statistical modeling and curve fitting techniques, particularly in the context of puzzle-solving and data analysis.
Thanks. As usual I am being a bit lazy, just wondering if someone has thought this thoroughly so I don't have to. I may have to take a radical approach and think it through. Seems like it may be in the Chi-squared family (From the tanning salon family :) )?jedishrfu said:The curve looks a lot like Plank's curve for black body radiation. You could try curve fitting your results to it or do your future Sudokus under a black light. :-)
https://en.wikipedia.org/wiki/Black_body
I think that something like the time to complete a Sudoku puzzle would follow a log-normal distribution.WWGD said:Thanks. As usual I am being a bit lazy, just wondering if someone has thought this thoroughly so I don't have to. I may have to take a radical approach and think it through. Seems like it may be in the Chi-squared family (From the tanning salon family :) )?
https://en.wikipedia.org/wiki/Chi-squared_distribution