<p>Hi,</p>

<p>This is related to <a href="https://github.com/mlpack/mlpack/issues/401" class="issue-link js-issue-link" data-url="https://github.com/mlpack/mlpack/issues/401" data-id="57227359" data-error-text="Failed to load issue title" data-permission-text="Issue title is private">#401</a>. You're right, currently we only support general sparse and dense matrices, but have no way of handling say, A_i = aa^T efficiently. I'm hoping somebody picks up <a href="https://github.com/mlpack/mlpack/issues/401" class="issue-link js-issue-link" data-url="https://github.com/mlpack/mlpack/issues/401" data-id="57227359" data-error-text="Failed to load issue title" data-permission-text="Issue title is private">#401</a> as part of GSOC, but who knows. Your best bet right now would probably be to either handroll your own LRSDP, or make the appropriate edits to mlpack. Sorry that I don't have anything better to suggest ( I don't think there are any decent open source LRSDP libraries out there, surpris
 ingly si
 nce so many people use it! )</p>

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