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.
Calculate the minimum value of a strided array via a callback function.
Compute an `LU` factorization of a real tridiagonal matrix `A` using elimination with partial pivoting and row interchanges
Bernoulli distribution standard deviation.
Compute the minimum value along one or more ndarray dimensions according to a callback function.
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
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Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
Fill an ndarray with equally spaced values
Beta prime distribution expected value.
Bernoulli distribution excess kurtosis.
F distribution standard deviation.
Compute the arithmetic mean along one or more ndarray dimensions using ordinary recursive summation.
Return a list of array data types to which a provided array data type can be safely cast and, for floating-point data types, can be downcast.
Rayleigh distribution median.
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
Tool to support usage of a vendored standard library in ReScript
styled() API wrapper package for emotion.
Group elements as arrays associated with distinct keys.
Compute a sum of absolute values incrementally.
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Return the Cartesian square.
Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point number.
Calculate the sum of strided array elements, ignoring NaN values and using ordinary recursive summation.