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‎stats/strided/dcovmatmtk/base.js.html‎

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var full;
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var nobs;
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var sa1;
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var sa2;
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var sa0;
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var sb1;
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var sb2;
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var sb0;
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var sb;
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var oa;
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var om;
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// Determine the memory layouts of `B`:
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isrmb = isRowMajor( [ strideB1, strideB2 ] );
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&nbsp;
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// Check whether we need to swap the strides of `B` when writing to the upper or lower triangular part of `B`...
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if (
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( isrmb &amp;&amp; uplo === 'upper' ) ||
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( !isrmb &amp;&amp; uplo === 'lower' )
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) {
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// Triangular part is aligned with (i.e., cache optimal for) the layout of `B`, so no need to transpose the strides...
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// Determine the outer and inner loop strides when writing to the upper or lower triangular part of `B`...
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if ( uplo === 'upper') {
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// Writing to the upper triangular part is cache optimal for a row-major `B`, but not for a column-major `B`...
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sb0 = strideB2;
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sb1 = strideB1;
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sb2 = strideB2;
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} else if (
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( isrmb &amp;&amp; uplo === 'lower' ) ||
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( !isrmb &amp;&amp; uplo === 'upper' )
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) {
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// When writing to a triangular part which is not aligned with the layout of `B`, transpose the strides...
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} else if ( uplo === 'lower' ) {
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// Writing to the lower triangular part is cache optimal for a column-major `B`, but not for a row-major `B`...
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sb0 = strideB1;
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sb1 = strideB2;
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sb2 = strideB1;
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} else { // uplo !== 'lower' &amp;&amp; uplo !== 'upper'
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// When computing the full covariance matrix, write initial covariances according to the layout of `B`...
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} else {
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// When computing the full covariance matrix, write covariances in a manner which is cache optimal for the layout of `B`...
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full = true;
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sb1 = strideB1;
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sb2 = strideB2;
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if ( isrmb ) {
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// For row-major matrices, the last dimension has the fastest changing index...
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sb0 = strideB2;
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sb1 = strideB1;
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} else {
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// For column-major matrices, the first dimension has the fastest changing index...
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sb0 = strideB1;
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sb1 = strideB2;
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}
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}
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// Resolve loop variables...
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if ( orient === 'rows' ) {
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sa0 = strideA2;
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sa1 = strideA1;
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sa2 = strideA2;
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nsamples = M;
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nobs = N;
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} else { // orient === 'columns'
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sa0 = strideA1;
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sa1 = strideA2;
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sa2 = strideA1;
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nsamples = N;
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nobs = M;
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}
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ib = offsetB;
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im = offsetM;
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for ( i0 = 0; i0 &lt; nsamples; i0++ ) {
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B[ ib ] = dvarmtk( nobs, correction, means[ im ], A, sa2, ia );
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B[ ib ] = dvarmtk( nobs, correction, means[ im ], A, sa0, ia );
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ia += sa1;
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ib += sb;
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im += strideM;
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oa = offsetA;
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om = offsetM;
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for ( i1 = 0; i1 &lt; nsamples-1; i1++ ) {
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ib = offsetB + ( sb1*i1 ) + ( sb2*i1 );
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ib = offsetB + ( sb1*i1 ) + ( sb0*i1 );
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ia = oa;
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im = om;
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for ( i0 = i1+1; i0 &lt; nsamples; i0++ ) {
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im += strideM;
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ia += sa1;
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ib += sb2;
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B[ ib ] = dcovarmtk( nobs, correction, means[ om ], A, sa2, oa, means[ im ], A, sa2, ia );
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ib += sb0;
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B[ ib ] = dcovarmtk( nobs, correction, means[ om ], A, sa0, oa, means[ im ], A, sa0, ia );
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}
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oa += sa1;
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om += strideM;
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}
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// Copy the covariances to the other triangular part if the full covariance matrix is desired...
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if ( full ) {
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dlacpy( ( isrmb ) ? 'upper' : 'lower', nsamples, nsamples, B, sb1, sb2, offsetB, B, sb2, sb1, offsetB );
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if ( isrmb ) {
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// Copy the upper triangular part to the lower triangular part:
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dlacpy( 'upper', nsamples, nsamples, B, sb1, sb0, offsetB, B, sb0, sb1, offsetB );
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} else {
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// Copy the lower triangular part to the upper triangular part:
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dlacpy( 'lower', nsamples, nsamples, B, sb0, sb1, offsetB, B, sb1, sb0, offsetB );
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}
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}
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return B;
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}
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<div class='footer quiet pad2 space-top1 center small'>
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‎stats/strided/dcovmatmtk/coverage.ndjson‎

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[916,916,100,64,64,100,5,5,100,916,916,100,"44999d869ceff5fb91fc092ea75aa03d4d39b1eb","2025-07-14 20:12:39 -0700"]
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[923,923,100,58,58,100,5,5,100,923,923,100,"0697c390bd49cc063e8ef4879c19bcc096403d58","2025-07-15 03:07:03 -0700"]

‎stats/strided/dcovmatmtk/dcovmatmtk.js.html‎

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‎stats/strided/dcovmatmtk/dcovmatmtk.native.js.html‎

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‎stats/strided/dcovmatmtk/index.html‎

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<div class="chart"><div class="cover-fill cover-full" style="width: 100%"></div><div class="cover-empty" style="width: 0%"></div></div>
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‎stats/strided/dcovmatmtk/index.js.html‎

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‎stats/strided/dcovmatmtk/main.js.html‎

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‎stats/strided/dcovmatmtk/native.js.html‎

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‎stats/strided/dcovmatmtk/ndarray.js.html‎

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‎stats/strided/dcovmatmtk/ndarray.native.js.html‎

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