Objective Function and Derivatives The input argument fun refers to an IML module that specifies a function that returns f, a vector of length m for least-squares subroutines or a scalar for other ...

In statistics, the score function is the gradient of the log-likelihood function with respect to the parameters, used to measure the sensitivity of the likelihood function to the parameters. The ...

For example, studies addressing the pre-Schwarzian and Schwarzian derivatives have established new criteria that enhance our ability to characterise the geometric behaviour of harmonic mappings [1].

Anthony P. Morse, Dini Derivatives of Continuous Functions, Proceedings of the American Mathematical Society, Vol. 5, No. 1 (Feb., 1954), pp. 126-130 ...

Terry G. Meyer, Bounds for Estimation of Density Functions and Their Derivatives, The Annals of Statistics, Vol. 5, No. 1 (Jan., 1977), pp. 136-142 ...