Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
C
1
0
Apache License 2.0
This package provides a function to scale a single-precision complex floating-point vector by a single-precision complex floating-point constant, implementing the BLAS level 1 function `cscal`. It is part of stdlib, a standard library for JavaScript and Node.js focused on numerical and scientific computing. The library is designed for developers working on high-performance numerical computations in web or Node.js environments who need reliable, well-tested mathematical operations.
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Support the dependencies of stdlib-js/blas-base-cscal
Test if a value is an Error object.
Common symbols and type definitions shared across base BLAS APIs.
Multiply two single-precision complex floating-point numbers.
64-bit complex number.
C utilities for retrieving Node-API add-on callback arguments.
Convert a Node-API value to a single-precision complex floating-point number.
Convert a Node-API value to a signed 64-bit integer.
Convert a Node-API value representing a strided array to a single-precision complex floating-point array.
C utilities for registering Node-API modules.
Return the minimum accessible index based on a set of provided strided array parameters.
Determine the index offset which specifies the location of the first indexed value in a strided array.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Wrap `require` in a try/catch block.
Complex64Array.
Create a filled array according to a provided callback function.
Float32Array.
Check if the runtime is a web browser.
Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
Test if a single-precision floating-point numeric value is NaN.
Compute the absolute value of a double-precision floating-point number.
Exponential function.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Discrete uniform distributed pseudorandom numbers.
Reinterpret a Complex64Array as a Float32Array.
Proxies nodejs require in order to allow overriding dependencies during testing.
tap-producing test harness for node and browsers
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
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/blas-base-cscal
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