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misc cleaning / eigenization
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@@ -16,7 +16,7 @@ void ei_covar(
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Matrix< Scalar, Dynamic, 1 > wa(n);
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assert(ipvt.size()==n);
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/* form the inverse of r in the full upper triangle of r. */
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/* form the inverse of r in the full upper triangle of r. */
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l = -1;
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for (k = 0; k < n; ++k)
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if (ei_abs(r(k,k)) > tolr) {
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@@ -24,27 +24,21 @@ void ei_covar(
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for (j = 0; j <= k-1; ++j) {
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temp = r(k,k) * r(j,k);
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r(j,k) = 0.;
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for (i = 0; i <= j; ++i)
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r(i,k) -= temp * r(i,j);
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r.col(k).head(j+1) -= r.col(j).head(j+1) * temp;
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}
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l = k;
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}
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/* form the full upper triangle of the inverse of (r transpose)*r */
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/* in the full upper triangle of r. */
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/* form the full upper triangle of the inverse of (r transpose)*r */
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/* in the full upper triangle of r. */
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for (k = 0; k <= l; ++k) {
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for (j = 0; j <= k-1; ++j) {
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temp = r(j,k);
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for (i = 0; i <= j; ++i)
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r(i,j) += temp * r(i,k);
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}
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temp = r(k,k);
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for (i = 0; i <= k; ++i)
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r(i,k) = temp * r(i,k);
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for (j = 0; j <= k-1; ++j)
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r.col(j).head(j+1) += r.col(k).head(j+1) * r(j,k);
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r.col(k).head(k+1) *= r(k,k);
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}
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/* form the full lower triangle of the covariance matrix */
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/* in the strict lower triangle of r and in wa. */
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/* form the full lower triangle of the covariance matrix */
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/* in the strict lower triangle of r and in wa. */
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for (j = 0; j < n; ++j) {
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jj = ipvt[j];
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sing = j > l;
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@@ -60,11 +54,8 @@ void ei_covar(
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wa[jj] = r(j,j);
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}
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/* symmetrize the covariance matrix in r. */
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for (j = 0; j < n; ++j) {
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for (i = 0; i <= j; ++i)
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r(i,j) = r(j,i);
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r(j,j) = wa[j];
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}
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/* symmetrize the covariance matrix in r. */
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r.corner(TopLeft,n,n).template triangularView<StrictlyUpper>() = r.corner(TopLeft,n,n).transpose();
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r.diagonal() = wa;
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}
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