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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Siddhartha Sen</author_name><author_url>https://www.microsoft.com/en-us/research/people/sidsen/</author_url><title>Rank-Pairing Heaps - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="SVvKJxa1Qk"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/rank-pairing-heaps-2/"&gt;Rank-Pairing Heaps&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/rank-pairing-heaps-2/embed/#?secret=SVvKJxa1Qk" width="600" height="338" title="&#x201C;Rank-Pairing Heaps&#x201D; &#x2014; Microsoft Research" data-secret="SVvKJxa1Qk" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>We introduce the rank-pairing heap, an implementation of heaps that combines the asymptotic efficiency of Fibonacci heaps with much of the simplicity of pairing heaps. Other heap implementations that match the bounds of Fibonacci heaps do so by maintaining a balance condition on the trees representing the heap. In contrast to these structures but like [&hellip;]</description></oembed>
