Add a scalar constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
Test if two arguments are approximately equal within a specified number of ULPs (units in the last place).
Square root of 0.5π.
Evaluate the ramp function (single-precision).
Compute an exponentially weighted mean incrementally.
Compute the hypotenuse avoiding overflow and underflow.
F distribution constructor.
Return the index of the first element which passes a test implemented by a predicate function.
Compute the minimum absolute value along one or more ndarray dimensions.
Erlang distribution variance.
Compute the nth non-Fibonacci number.
Create an iterator which invokes a function for each iterated value.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
Compute a range incrementally.
Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
Compute the arccosine of a single-precision floating-point number.
Compute the hyperbolic arcsine of a double-precision floating-point number.
The Carnegie Mellon Pronouncing Dictionary (CMUdict).
Chi distribution probability density function (PDF).
Calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.
Bernoulli distribution constructor.
Calculate the cumulative maximum of double-precision floating-point strided array elements.
Compute the product of all iterated values.