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stdlib
Compute the L2-norm of a complex single-precision floating-point vector.
Test if two arguments are both BooleanArrays and have the same values.
Replace elements of an array with provided values according to a provided mask array.
Execute a set of functions in parallel.
Determine the index offset which specifies the location of the first indexed value in a strided array.
Cumulatively test whether every element in a provided array is falsy.
Compute the arccotangent (in degrees) of a double-precision floating-point number.
Compute the Bessel function of the second kind of order one.
Scale a double-precision complex floating-point vector by a double-precision complex floating-point constant and add the result to a double-precision complex floating-point vector.
Compute the L2-norm of a complex double-precision floating-point vector.
Perform a chi-square independence test.
Website for stdlib, a standard library for JavaScript and Node.js.
Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant and add the result to a single-precision complex floating-point vector.
Perform a series of row interchanges on an input matrix.
Resolve paths from a set of paths by walking parent directories.
Create an iterator which cumulatively tests whether at least `n` iterated values are truthy.
Source code for the blog post "How to call Fortran routines from JavaScript using Node.js": https://blog.stdlib.io/how-to-call-fortran-routines-from-javascript-with-node-js/.
Invoke a callback function once for each ndarray element.
Copy all or part of a matrix A to another matrix B.
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
Return an updated sum of squares represented in scaled form.
Convert an array to an object supporting fancy indexing.