We are thrilled to share a new method for deriving approximate linear equations! This new method, developed by researchers at the University of California, is capable of generating linear equations from a given set of data points. This could be invaluable for scientists and engineers who regularly work with linear equations and need to quickly generate them from data. The research team used a combination of methods, including least-squares fitting, to create the algorithm. With this algorithm, users can easily generate linear equations from data points with minimal effort and time. This could prove to be a useful tool for those in the scientific and engineering fields.

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source: Phys.org