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We define a class of discrete quasi convex functions, called semi-strictly quasi L-convex functions, and show that the steepest descent algorithm for L-convex function minimization also works for this class of quasi convex functions. The analysis of the exact number of iterations is also extended, revealing the so-called geodesic property of the steepest descent algorithm when applied to semi-strictly quasi L-convex functions.

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