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Leap Gradient Algorithm (LGA) is a modification of the gradient descent. LGA improves the gradient decent method for functions of one variable (univariate functions). LGA converges to the global extremum of a univariate function defined on an interval of real numbers while the gradient decent can guarantee only local extremum.