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‎blas/base/dger/base.js.html‎

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‎blas/base/dger/coverage.ndjson‎

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[400,437,91.5332,9,9,100,0,4,0,400,437,91.5332,"bd06c4df34c340bb2a978cabfa6122bd00d44a56","2024-06-09 15:19:28 -0700"]
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[400,437,91.5332,9,9,100,0,4,0,400,437,91.5332,"0d796b2a86fe0a08d1f3ed1827aaf2ce355f9b4f","2024-07-17 16:49:12 -0700"]
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[400,437,91.5332,9,9,100,0,4,0,400,437,91.5332,"576b85bb15cbf83346f8f100e48acf573ac1fcfe","2025-05-19 17:57:39 -0400"]
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[715,715,100,84,84,100,5,5,100,715,715,100,"231adcca7fe97378ed76193faba8ccf41123ad83","2025-06-25 17:13:20 -0700"]

‎blas/base/dger/dger.js.html‎

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‎blas/base/dger/dger.native.js.html‎

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‎blas/base/dger/index.html‎

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<td class="file high" data-value="base.js"><a href="base.js.html">base.js</a></td>
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‎blas/base/dger/index.js.html‎

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'use strict';
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/**
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* BLAS level 2 routine to perform the rank 1 operation `A = alpha*x*y^T + A`.
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* BLAS level 2 routine to perform the rank 1 operation `A = α*x*y^T + A`, where `α` is a scalar, `x` is an `M` element vector, `y` is an `N` element vector, and `A` is an `M` by `N` matrix.
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* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
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* var x = new Float64Array( [ 1.0, 1.0 ] );
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* dger( 'row-major', 2, 3, 1.0, x, 1, y, 1, A, 3 );
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* dger.ndarray( 'row-major', N, M, 1.0, y, 1, 0, x, 1, 0, B, M );
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* // B =&gt; &lt;Float64Array&gt;[ 0.0, 1.0, 2.0, 3.0, 0.0, 4.0, 8.0, 12.0, 0.0, 0.0, 0.0, 0.0 ]
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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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at 2025-06-26T00:15:28.927Z
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‎blas/base/dger/main.js.html‎

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‎blas/base/dger/native.js.html‎

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Code coverage generated by
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