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<li><ahref="pyclassify.html#pyclassify.parallel_tridiag_eigen.check_column_directions">check_column_directions() (in module pyclassify.parallel_tridiag_eigen)</a>
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<li><ahref="pyclassify.html#pyclassify.utils.check_square_matrix">check_square_matrix() (in module pyclassify.utils)</a>
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<li><ahref="pyclassify.html#pyclassify.utils.check_symm_square">check_symm_square() (in module pyclassify.utils)</a>
<li><ahref="pyclassify.html#pyclassify.parallel_tridiag_eigen.find_interval_extreme">find_interval_extreme() (in module pyclassify.parallel_tridiag_eigen)</a>
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</ul></td>
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<tdstyle="width: 33%; vertical-align: top;"><ul>
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<li><ahref="pyclassify.html#pyclassify.zero_finder.find_root">find_root() (in module pyclassify.zero_finder)</a>
<li><ahref="pyclassify.html#pyclassify.parallel_tridiag_eigen.parallel_eigen">parallel_eigen() (in module pyclassify.parallel_tridiag_eigen)</a>
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<li><ahref="pyclassify.html#pyclassify.parallel_tridiag_eigen.parallel_tridiag_eigen">parallel_tridiag_eigen() (in module pyclassify.parallel_tridiag_eigen)</a>
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<li><ahref="pyclassify.html#pyclassify.utils.poisson_2d_structure">poisson_2d_structure() (in module pyclassify.utils)</a>
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<li><ahref="pyclassify.html#pyclassify.power_method">power_method() (in module pyclassify)</a>
<spanclass="sig-prename descclassname"><spanclass="pre">pyclassify.parallel_tridiag_eigen.</span></span><spanclass="sig-name descname"><spanclass="pre">check_column_directions</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">A</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">B</span></span></em><spanclass="sig-paren">)</span><aclass="headerlink" href="#pyclassify.parallel_tridiag_eigen.check_column_directions" title="Link to this definition"></a></dt>
<spanclass="sig-prename descclassname"><spanclass="pre">pyclassify.parallel_tridiag_eigen.</span></span><spanclass="sig-name descname"><spanclass="pre">find_interval_extreme</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">total_dimension</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">n_processor</span></span></em><spanclass="sig-paren">)</span><aclass="headerlink" href="#pyclassify.parallel_tridiag_eigen.find_interval_extreme" title="Link to this definition"></a></dt>
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<dd><dlclass="simple">
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<dt>Computes the intervals for vector for being scattered.</dt><dd><dlclass="simple">
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<dt>Input:</dt><dd><p>-total_dimension: the dimension of the vector that has to be splitted
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-n_processor: the number of processor to which the scatter vector has to be sent</p>
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