Compute the maximum value of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.
JavaScript
0
0
Apache License 2.0
This is a JavaScript library for computing the maximum value in a one-dimensional array of floating-point numbers while ignoring NaN values. It's part of stdlib, a comprehensive numerical and scientific computing library for JavaScript and Node.js, designed for developers working with numerical data who need robust statistical functions.
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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, ignoring NaN values.
stdlib TypeScript type declarations.
Create a filled array according to a provided callback function.
Float64Array.
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.
Bernoulli distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers.
tap-producing test harness for node and browsers
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Minimal TAP output formatter.
Benchmark harness.
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