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‎lapack/base/dlacn2/base.js.html‎

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var idamax = require( '@stdlib/blas/base/idamax' ).ndarray;
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var dcopy = require( '@stdlib/blas/base/dcopy' ).ndarray;
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var dasum = require( '@stdlib/blas/base/dasum' ).ndarray;
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var nint = require( './nint.js' );
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var dfill = require( '@stdlib/blas/ext/base/dfill' ).ndarray;
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var nint = require( '@stdlib/math/base/special/round-nearest-even' );
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&nbsp;
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// MAIN //
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// FUNCTIONS //
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&nbsp;
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/**
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* Applies a deterministic fallback vector for final evaluation.
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* // KASE =&gt; &lt;Int32Array&gt;[ 1 ]
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*/
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function isaveIsTwo( N, X, strideX, offsetX, KASE, offsetKASE, ISAVE, strideISAVE, offsetISAVE ) {
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ISAVE[ offsetISAVE + strideISAVE ] = idamax( N, X, strideX, offsetX );
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ISAVE[ offsetISAVE + ( 2 * strideISAVE ) ] = 2;
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i1 = offsetISAVE + strideISAVE;
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ISAVE[ i1 ] = idamax( N, X, strideX, offsetX ); // stores the index of the max element in X
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ISAVE[ i1 + strideISAVE ] = 2;
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xmax = offsetX + ( ISAVE[ i1 ] * strideX ); // pointer to the max element in X
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ix = offsetX;
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for ( i = 0; i &lt; N; i++ ) {
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X[ ix ] = 0.0;
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}
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dfill( N, 0.0, X, strideX, offsetX );
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X[ offsetX + ( ISAVE[ offsetISAVE + strideISAVE ] * strideX ) ] = 1.0;
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X[ xmax ] = 1.0;
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KASE[ offsetKASE ] = 1;
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ISAVE[ offsetISAVE ] = 3;
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}
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* // KASE =&gt; &lt;Int32Array&gt;[ 1 ]
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function isaveIsFour( N, X, strideX, offsetX, ISAVE, strideISAVE, offsetISAVE, KASE, offsetKASE ) {
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jlast = ISAVE[ offsetISAVE + strideISAVE ];
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prevxmax = offsetX + ( jlast * strideX ); // points to X[ isave(1) ]
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xmax = offsetX + ( ISAVE[ offsetISAVE + strideISAVE ] * strideX ); // points to the largest value in X
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i2 = offsetISAVE + ( 2 * strideISAVE ); // points to isave(2), the number of refinement iterations
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if ( X[ offsetX + ( jlast * strideX ) ] !== abs( X[ offsetX + ( ISAVE[ offsetISAVE + strideISAVE ] * strideX ) ] ) <span class="branch-0 cbranch-no" title="branch not covered" >&amp;&amp; ISAVE[ offsetISAVE + ( 2 * strideISAVE ) ] &lt; 5 </span>) <span class="branch-0 cbranch-no" title="branch not covered" >{</span>
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<span class="cstat-no" title="statement not covered" > ISAVE[ offsetISAVE + ( 2 * strideISAVE ) ] += 1;</span>
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<span class="cstat-no" title="statement not covered" > ix = offsetX;</span>
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<span class="cstat-no" title="statement not covered" > X[ offsetX + ( ISAVE[ offsetISAVE + strideISAVE ] * strideX ) ] = 1.0;</span>
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if ( X[ prevxmax ] !== abs( X[ xmax ] ) <span class="branch-0 cbranch-no" title="branch not covered" >&amp;&amp; ISAVE[ i2 ] &lt; 5 </span>) <span class="branch-0 cbranch-no" title="branch not covered" >{</span>
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<span class="cstat-no" title="statement not covered" > ISAVE[ i2 ] += 1;</span>
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<span class="cstat-no" title="statement not covered" > X[ xmax ] = 1.0;</span>
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<span class="cstat-no" title="statement not covered" > ISAVE[ offsetISAVE ] = 3;</span>
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<span class="cstat-no" title="statement not covered" > return;</span>
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KASE[ offsetKASE ] = 0;
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}
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// MAIN //
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/**
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* Estimates the one-norm of a square matrix `A`, using reverse communication for evaluating matrix-vector products.
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*
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function dlacn2( N, V, strideV, offsetV, X, strideX, offsetX, ISGN, strideISGN, offsetISGN, EST, offsetEST, KASE, offsetKASE, ISAVE, strideISAVE, offsetISAVE ) {
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<div class='footer quiet pad2 space-top1 center small'>
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‎lapack/base/dlacn2/coverage.ndjson‎

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[796,823,96.7193,45,50,90,10,10,100,796,823,96.7193,"3d5761dba20cf8e9db959ad2f0a4dace2b677845","2025-07-08 11:02:28 +0000"]
1+
[740,755,98.0132,41,45,91.1111,9,9,100,740,755,98.0132,"2e1ec09a8bea294685051b67086d4a2919d21e4c","2025-07-09 07:17:14 +0000"]

‎lapack/base/dlacn2/dlacn2.js.html‎

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‎lapack/base/dlacn2/ndarray.js.html‎

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