+Algorithm Engineering, as defined by [Sanders (2009)](https://doi.org/10.1007/978-3-642-03456-5_22), is a methodology for algorithmic research built around a cycle of design, analysis, implementation, and experimental evaluation. Unlike traditional algorithmics, which often stops at theoretical analysis, algorithm engineering insists on closing the loop: hypotheses about algorithm performance are tested experimentally on realistic inputs, and the results feed back into improved designs. Central to this process are falsifiable hypotheses, following Popper's scientific method applied to algorithms.
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