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@@ -13233,7 +13233,7 @@ See also:
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</ul>
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</li>
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<br>
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<li>The argument <i>sigma</i> is optional; if <i>sigma</i> is given, eigenvalues closest to <i>sigma</i> are found
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<li>The argument <i>sigma</i> is optional; if <i>sigma</i> is given, eigenvalues closest to <i>sigma</i> are found via shift-invert mode
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<br><b>NOTE:</b> to use <i>sigma</i>, both <i>ARMA_USE_ARPACK</i> and <i>ARMA_USE_SUPERLU</i> must be enabled in <a href="#config_hpp">config.hpp</a>
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</li>
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<br>
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@@ -13272,10 +13272,11 @@ struct eigs_opts
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<ul>
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<li>the number of obtained eigenvalues/eigenvectors may be lower than requested, depending on the given data</li>
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<li>
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if the decomposition fails, try first increasing <i>opts.subdim</i> (Krylov subspace dimension)
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<br>and, as secondary options, try increasing <i>opts.subdim</i> (maximum number of iterations)
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<br>and/or <i>opts.tol</i> (tolerance for convergence) and/or <i>k</i> (number of eigenvalues)
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if the decomposition fails, try first increasing <i>opts.subdim</i> (Krylov subspace dimension),
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and, as secondary options, try increasing <i>opts.maxiter</i> (maximum number of iterations),
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and/or <i>opts.tol</i> (tolerance for convergence), and/or <i>k</i> (number of eigenvalues)
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</li>
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<li>as an alternative to the "sm" form, use the shift-invert mode with <i>sigma</i> set to zero</li>
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</ul>
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</li>
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<br>
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@@ -13357,7 +13358,7 @@ Obtain a limited number of eigenvalues and eigenvectors of <b>sparse</b> general
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</ul>
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</li>
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<br>
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<li>The argument <i>sigma</i> is optional; if <i>sigma</i> is given, eigenvalues closest to <i>sigma</i> are found
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<li>The argument <i>sigma</i> is optional; if <i>sigma</i> is given, eigenvalues closest to <i>sigma</i> are found via shift-invert mode
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<br><b>NOTE:</b> to use <i>sigma</i>, both <i>ARMA_USE_ARPACK</i> and <i>ARMA_USE_SUPERLU</i> must be enabled in <a href="#config_hpp">config.hpp</a>
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</li>
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<br>
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@@ -13401,9 +13402,10 @@ If <i>X</i> is not square sized, a <i>std::logic_error</i> exception is thrown
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<li>the number of obtained eigenvalues/eigenvectors may be lower than requested, depending on the given data</li>
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<li>
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if the decomposition fails, try first increasing <i>opts.subdim</i> (Krylov subspace dimension)
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<br>and, as secondary options, try increasing <i>opts.subdim</i> (maximum number of iterations)
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<br>and/or <i>opts.tol</i> (tolerance for convergence) and/or <i>k</i> (number of eigenvalues)
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and, as secondary options, try increasing <i>opts.maxiter</i> (maximum number of iterations),
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and/or <i>opts.tol</i> (tolerance for convergence), and/or <i>k</i> (number of eigenvalues)
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</li>
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<li>as an alternative to the "sm" form, use the shift-invert mode with <i>sigma</i> set to zero</li>
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</ul>
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</li>
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<br>
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@@ -18995,6 +18997,7 @@ List of additions and changes for each version:
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<ul>
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<li>added <a href="#misc_fns">tgamma()</a></li>
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<li>added <a href="#brief_print">.brief_print()</a> for abridged printing of matrices & cubes</li>
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<li>expanded <a href="#eigs_sym">eigs_sym()</a> and <a href="#eigs_gen">eigs_gen()</a> with optional shift-invert mode</li>
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</ul>
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</li>
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<br>
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