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This package generates optimized C code for evaluating polynomials using Horner's method, allowing customization of data types and function names. It targets developers working on numerical or scientific

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Support the dependencies of stdlib-js/math-base-tools-evalpoly-compile-c

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stdlib-js/assert-is-integer
Test if a value is a number having an integer value.
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stdlib-js/fs-read-file
Read the entire contents of a file.
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stdlib-js/string-base-uppercase
Convert a string to uppercase.
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stdlib-js/string-replace
Replace search occurrences with a replacement string.
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stdlib-js/types
stdlib TypeScript type declarations.
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stdlib-js/array-float64
Float64Array.
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stdlib-js/assert-is-browser
Check if the runtime is a web browser.
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stdlib-js/assert-is-string
Test if a value is a string.
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stdlib-js/random-array-discrete-uniform
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
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stdlib-js/random-base-randu
Uniformly distributed pseudorandom numbers between 0 and 1.
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stdlib-js/utils-try-require
Wrap `require` in a try/catch block.
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tape-testing/tape
tap-producing test harness for node and browsers
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gotwarlost/istanbul
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 ca
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Planeshifter/tap-min
Minimal TAP output formatter.
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stdlib-js/bench-harness
Benchmark harness.

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stdlib-js

stdlib-js/math-base-tools-evalpoly-...

Compile a C function for evaluating a polynomial.

JavaScript
1
0
Apache License 2.0