@stdlib/math-base-tools-evalpoly

Evaluate a polynomial using double-precision floating-point arithmetic.

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math-base-tools-evalpoly

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		{
		"name": "@stdlib/math-base-tools-evalpoly",
		"version": "0.0.5",
		"version": "0.0.6",
		"description": "Evaluate a polynomial.",
		@@ -5,0 +5,0 @@ "license": "Apache-2.0",

		@@ -34,3 +34,3 @@ <!--
		<div class="equation" align="center" data-raw-text="c_nx^n + c_{n-1}x^{n-1} + \ldots + c_1x^1 + c_0 = \sum_{i=0}^{n} c_ix^i" data-equation="eq:polynomial">
		<img src="https://cdn.rawgit.com/stdlib-js/stdlib/7e0a95722efd9c771b129597380c63dc6715508b/lib/node_modules/@stdlib/math/base/tools/evalpoly/docs/img/equation_polynomial.svg" alt="Polynomial expression.">
		<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@7e0a95722efd9c771b129597380c63dc6715508b/lib/node_modules/@stdlib/math/base/tools/evalpoly/docs/img/equation_polynomial.svg" alt="Polynomial expression.">
		<br>
		@@ -37,0 +37,0 @@ </div>

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		# CHANGELOG

		> Package changelog.

		See [GitHub Releases](https://github.com/stdlib-js/math-base-tools-evalpoly/releases) for the changelog.