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docs: update related packages sections
PR-URL: #4964 Reviewed-by: Athan Reines <[email protected]>
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lib/node_modules/@stdlib/blas/ext/base/dsapxsumpw/README.md

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## See Also
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- <span class="package-name">[`@stdlib/blas/ext/base/dapxsumpw`][@stdlib/blas/ext/base/dapxsumpw]</span><span class="delimiter">: </span><span class="description">adds a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/dsapxsum`][@stdlib/blas/ext/base/dsapxsum]</span><span class="delimiter">: </span><span class="description">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.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/dapxsumpw`][@stdlib/blas/ext/base/dapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using pairwise summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/dsapxsum`][@stdlib/blas/ext/base/dsapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using extended accumulation and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/dssumpw`][@stdlib/blas/ext/base/dssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumpw`][@stdlib/blas/ext/base/sapxsumpw]</span><span class="delimiter">: </span><span class="description">adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumpw`][@stdlib/blas/ext/base/sapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using pairwise summation.</span>
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</section>
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lib/node_modules/@stdlib/blas/ext/base/gapxsumkbn2/README.md

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## See Also
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- <span class="package-name">[`@stdlib/blas/ext/base/dapxsumkbn2`][@stdlib/blas/ext/base/dapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gapxsum`][@stdlib/blas/ext/base/gapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each strided array element and compute the sum.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gapxsum`][@stdlib/blas/ext/base/gapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gsumkbn2`][@stdlib/blas/ext/base/gsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumkbn2`][@stdlib/blas/ext/base/sapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumkbn2`][@stdlib/blas/ext/base/sapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
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</section>
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lib/node_modules/@stdlib/blas/ext/base/sapxsumors/README.md

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## See Also
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- <span class="package-name">[`@stdlib/blas/ext/base/dapxsumors`][@stdlib/blas/ext/base/dapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gapxsumors`][@stdlib/blas/ext/base/gapxsumors]</span><span class="delimiter">: </span><span class="description">add a constant to each strided array element and compute the sum using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gapxsumors`][@stdlib/blas/ext/base/gapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/sapxsum`][@stdlib/blas/ext/base/sapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/ssumors`][@stdlib/blas/ext/base/ssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
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lib/node_modules/@stdlib/math/base/tools/evalrational/README.md

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## See Also
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- <span class="package-name">[`@stdlib/math/base/tools/evalpoly`][@stdlib/math/base/tools/evalpoly]</span><span class="delimiter">: </span><span class="description">evaluate a polynomial.</span>
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- <span class="package-name">[`@stdlib/math/base/tools/evalpoly`][@stdlib/math/base/tools/evalpoly]</span><span class="delimiter">: </span><span class="description">evaluate a polynomial using double-precision floating-point arithmetic.</span>
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</section>
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