Compute the maximum value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
JavaScript
0
0
Apache License 2.0
This is a JavaScript library for computing the maximum value in a numeric array while ignoring NaN values and respecting a mask that indicates which elements to include. It's designed for developers working with numerical data in JavaScript, particularly those using the stdlib scientific computing library.
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Support the dependencies of stdlib-js/stats-base-ndarray-dnanmskmax
Return the underlying data buffer of a provided ndarray.
Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.
Return the index offset specifying the underlying buffer index of the first iterated ndarray element.
Return the stride along a specified dimension for a provided ndarray.
Calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
stdlib TypeScript type declarations.
Float64Array.
Uint8Array.
Test if a double-precision floating-point numeric value is NaN.
Test if a double-precision floating-point numeric value is positive zero.
Exponential function.
Base multidimensional array.
Convert an ndarray to a generic array.
Create an array containing pseudorandom numbers drawn from a Bernoulli distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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Benchmark harness.
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