stdlib-js

stdlib-js/napi-export

C utilities for registering Node-API modules.

C
1
0
Apache License 2.0
Total donated
Undistributed
Share with your subscribers:

Recipients

How the donated funds are distributed

Support the dependencies of stdlib-js/napi-export

Account's avatar
Load a manifest for compiling source files.
Account's avatar
Check if the runtime is a web browser.
Account's avatar
tap-producing test harness for node and browsers
Account's avatar
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Account's avatar
Minimal TAP output formatter.

Support the repos that depend on stdlib-js/napi-export

Account's avatar
Simultaneously compute the sine and cosine of a number.
Account's avatar
Calculate the sum of double-precision floating-point strided array elements using pairwise summation.
Account's avatar
Compute `x - nπ/2 = r`.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
Account's avatar
Interchange two double-precision floating-point vectors.
Account's avatar
Multiply a double-precision floating-point vector by a constant.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements using pairwise summation.
Account's avatar
Test if two single-precision floating-point numbers are the same value.
Account's avatar
Test if two double-precision floating-point numbers are the same value.
Account's avatar
Test if two double-precision floating-point numbers are the same value.
Account's avatar
Test if two single-precision floating-point numbers are the same value.
Account's avatar
Copy values from x into y.
Account's avatar
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.
Account's avatar
Calculate the dot product of two double-precision floating-point vectors.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.
Account's avatar
Interchange two single-precision floating-point vectors.
Account's avatar
Calculate the dot product of two single-precision floating-point vectors.
Account's avatar
Calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Account's avatar
Adds a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.
Account's avatar
Fill a double-precision floating-point strided array with a specified scalar constant.
Account's avatar
Calculate the sum of double-precision floating-point strided array elements.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Account's avatar
Adds a constant to each double-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
Account's avatar
Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
Account's avatar
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.
Account's avatar
Add a constant to each element in a double-precision floating-point strided array.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
Account's avatar
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Account's avatar
Calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Account's avatar
Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation and returning an extended precision result.
Account's avatar
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result.
Account's avatar
Multiply a vector x by a constant and add the result to y.
Account's avatar
Adds a constant to each single-precision floating-point strided array element and computes the sum.
Account's avatar
Adds a constant to each double-precision floating-point strided array element and computes the sum.

Top contributors

stdlib-bot's profile
stdlib-bot
36 contributions

Recent events

Kivach works on the Obyte network, and therefore you can track all donations.

No events yet