Implementation of dynamic mean algorithms.
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Updated
Sep 29, 2022 - Java
Implementation of dynamic mean algorithms.
Calculadora de média aritimética
Calculator for finding the arithmetic mean
Implementation of the calculation of measures of the central tendency
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation.
Compute a moving arithmetic mean and unbiased sample variance incrementally.
Create an iterator which iteratively computes a moving arithmetic mean of absolute values.
Create an iterator which iteratively computes a cumulative arithmetic mean.
Compute the arithmetic mean over all iterated values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using extended accumulation.
Calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.
Calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.
Compute the mean absolute percentage error (MAPE) incrementally.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
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