deploy
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krahets
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<p><div style="height: 549px; width: 100%;"><iframe class="pythontutor-iframe" src="https://pythontutor.com/iframe-embed.html#code=def%20backtrack%28%0A%20%20%20%20row%3A%20int,%0A%20%20%20%20n%3A%20int,%0A%20%20%20%20state%3A%20list%5Blist%5Bstr%5D%5D,%0A%20%20%20%20res%3A%20list%5Blist%5Blist%5Bstr%5D%5D%5D,%0A%20%20%20%20cols%3A%20list%5Bbool%5D,%0A%20%20%20%20diags1%3A%20list%5Bbool%5D,%0A%20%20%20%20diags2%3A%20list%5Bbool%5D,%0A%29%3A%0A%20%20%20%20%22%22%22%E5%9B%9E%E6%BA%AF%E7%AE%97%E6%B3%95%EF%BC%9AN%20%E7%9A%87%E5%90%8E%22%22%22%0A%20%20%20%20%23%20%E5%BD%93%E6%94%BE%E7%BD%AE%E5%AE%8C%E6%89%80%E6%9C%89%E8%A1%8C%E6%97%B6%EF%BC%8C%E8%AE%B0%E5%BD%95%E8%A7%A3%0A%20%20%20%20if%20row%20%3D%3D%20n%3A%0A%20%20%20%20%20%20%20%20res.append%28%5Blist%28row%29%20for%20row%20in%20state%5D%29%0A%20%20%20%20%20%20%20%20return%0A%20%20%20%20%23%20%E9%81%8D%E5%8E%86%E6%89%80%E6%9C%89%E5%88%97%0A%20%20%20%20for%20col%20in%20range%28n%29%3A%0A%20%20%20%20%20%20%20%20%23%20%E8%AE%A1%E7%AE%97%E8%AF%A5%E6%A0%BC%E5%AD%90%E5%AF%B9%E5%BA%94%E7%9A%84%E4%B8%BB%E5%AF%B9%E8%A7%92%E7%BA%BF%E5%92%8C%E6%AC%A1%E5%AF%B9%E8%A7%92%E7%BA%BF%0A%20%20%20%20%20%20%20%20diag1%20%3D%20row%20-%20col%20%2B%20n%20-%201%0A%20%20%20%20%20%20%20%20diag2%20%3D%20row%20%2B%20col%0A%20%20%20%20%20%20%20%20%23%20%E5%89%AA%E6%9E%9D%EF%BC%9A%E4%B8%8D%E5%85%81%E8%AE%B8%E8%AF%A5%E6%A0%BC%E5%AD%90%E6%89%80%E5%9C%A8%E5%88%97%E3%80%81%E4%B8%BB%E5%AF%B9%E8%A7%92%E7%BA%BF%E3%80%81%E6%AC%A1%E5%AF%B9%E8%A7%92%E7%BA%BF%E4%B8%8A%E5%AD%98%E5%9C%A8%E7%9A%87%E5%90%8E%0A%20%20%20%20%20%20%20%20if%20not%20cols%5Bcol%5D%20and%20not%20diags1%5Bdiag1%5D%20and%20not%20diags2%5Bdiag2%5D%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20%23%20%E5%B0%9D%E8%AF%95%EF%BC%9A%E5%B0%86%E7%9A%87%E5%90%8E%E6%94%BE%E7%BD%AE%E5%9C%A8%E8%AF%A5%E6%A0%BC%E5%AD%90%0A%20%20%20%20%20%20%20%20%20%20%20%20state%5Brow%5D%5Bcol%5D%20%3D%20%22Q%22%0A%20%20%20%20%20%20%20%20%20%20%20%20cols%5Bcol%5D%20%3D%20diags1%5Bdiag1%5D%20%3D%20diags2%5Bdiag2%5D%20%3D%20True%0A%20%20%20%20%20%20%20%20%20%20%20%20%23%20%E6%94%BE%E7%BD%AE%E4%B8%8B%E4%B8%80%E8%A1%8C%0A%20%20%20%20%20%20%20%20%20%20%20%20backtrack%28row%20%2B%201,%20n,%20state,%20res,%20cols,%20diags1,%20diags2%29%0A%20%20%20%20%20%20%20%20%20%20%20%20%23%20%E5%9B%9E%E9%80%80%EF%BC%9A%E5%B0%86%E8%AF%A5%E6%A0%BC%E5%AD%90%E6%81%A2%E5%A4%8D%E4%B8%BA%E7%A9%BA%E4%BD%8D%0A%20%20%20%20%20%20%20%20%20%20%20%20state%5Brow%5D%5Bcol%5D%20%3D%20%22%23%22%0A%20%20%20%20%20%20%20%20%20%20%20%20cols%5Bcol%5D%20%3D%20diags1%5Bdiag1%5D%20%3D%20diags2%5Bdiag2%5D%20%3D%20False%0A%0A%0Adef%20n_queens%28n%3A%20int%29%20-%3E%20list%5Blist%5Blist%5Bstr%5D%5D%5D%3A%0A%20%20%20%20%22%22%22%E6%B1%82%E8%A7%A3%20N%20%E7%9A%87%E5%90%8E%22%22%22%0A%20%20%20%20%23%20%E5%88%9D%E5%A7%8B%E5%8C%96%20n*n%20%E5%A4%A7%E5%B0%8F%E7%9A%84%E6%A3%8B%E7%9B%98%EF%BC%8C%E5%85%B6%E4%B8%AD%20'Q'%20%E4%BB%A3%E8%A1%A8%E7%9A%87%E5%90%8E%EF%BC%8C'%23'%20%E4%BB%A3%E8%A1%A8%E7%A9%BA%E4%BD%8D%0A%20%20%20%20state%20%3D%20%5B%5B%22%23%22%20for%20_%20in%20range%28n%29%5D%20for%20_%20in%20range%28n%29%5D%0A%20%20%20%20cols%20%3D%20%5BFalse%5D%20*%20n%20%20%23%20%E8%AE%B0%E5%BD%95%E5%88%97%E6%98%AF%E5%90%A6%E6%9C%89%E7%9A%87%E5%90%8E%0A%20%20%20%20diags1%20%3D%20%5BFalse%5D%20*%20%282%20*%20n%20-%201%29%20%20%23%20%E8%AE%B0%E5%BD%95%E4%B8%BB%E5%AF%B9%E8%A7%92%E7%BA%BF%E4%B8%8A%E6%98%AF%E5%90%A6%E6%9C%89%E7%9A%87%E5%90%8E%0A%20%20%20%20diags2%20%3D%20%5BFalse%5D%20*%20%282%20*%20n%20-%201%29%20%20%23%20%E8%AE%B0%E5%BD%95%E6%AC%A1%E5%AF%B9%E8%A7%92%E7%BA%BF%E4%B8%8A%E6%98%AF%E5%90%A6%E6%9C%89%E7%9A%87%E5%90%8E%0A%20%20%20%20res%20%3D%20%5B%5D%0A%20%20%20%20backtrack%280,%20n,%20state,%20res,%20cols,%20diags1,%20diags2%29%0A%0A%20%20%20%20return%20res%0A%0A%0A%22%22%22Driver%20Code%22%22%22%0Aif%20__name__%20%3D%3D%20%22__main__%22%3A%0A%20%20%20%20n%20%3D%204%0A%20%20%20%20res%20%3D%20n_queens%28n%29%0A%0A%20%20%20%20print%28f%22%E8%BE%93%E5%85%A5%E6%A3%8B%E7%9B%98%E9%95%BF%E5%AE%BD%E4%B8%BA%20%7Bn%7D%22%29%0A%20%20%20%20print%28f%22%E7%9A%87%E5%90%8E%E6%94%BE%E7%BD%AE%E6%96%B9%E6%A1%88%E5%85%B1%E6%9C%89%20%7Blen%28res%29%7D%20%E7%A7%8D%22%29%0A%20%20%20%20for%20state%20in%20res%3A%0A%20%20%20%20%20%20%20%20print%28%22--------------------%22%29%0A%20%20%20%20%20%20%20%20for%20row%20in%20state%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20print%28row%29&codeDivHeight=472&codeDivWidth=350&cumulative=false&curInstr=61&heapPrimitives=nevernest&origin=opt-frontend.js&py=311&rawInputLstJSON=%5B%5D&textReferences=false"> </iframe></div>
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<div style="margin-top: 5px;"><a href="https://pythontutor.com/iframe-embed.html#code=def%20backtrack%28%0A%20%20%20%20row%3A%20int,%0A%20%20%20%20n%3A%20int,%0A%20%20%20%20state%3A%20list%5Blist%5Bstr%5D%5D,%0A%20%20%20%20res%3A%20list%5Blist%5Blist%5Bstr%5D%5D%5D,%0A%20%20%20%20cols%3A%20list%5Bbool%5D,%0A%20%20%20%20diags1%3A%20list%5Bbool%5D,%0A%20%20%20%20diags2%3A%20list%5Bbool%5D,%0A%29%3A%0A%20%20%20%20%22%22%22%E5%9B%9E%E6%BA%AF%E7%AE%97%E6%B3%95%EF%BC%9AN%20%E7%9A%87%E5%90%8E%22%22%22%0A%20%20%20%20%23%20%E5%BD%93%E6%94%BE%E7%BD%AE%E5%AE%8C%E6%89%80%E6%9C%89%E8%A1%8C%E6%97%B6%EF%BC%8C%E8%AE%B0%E5%BD%95%E8%A7%A3%0A%20%20%20%20if%20row%20%3D%3D%20n%3A%0A%20%20%20%20%20%20%20%20res.append%28%5Blist%28row%29%20for%20row%20in%20state%5D%29%0A%20%20%20%20%20%20%20%20return%0A%20%20%20%20%23%20%E9%81%8D%E5%8E%86%E6%89%80%E6%9C%89%E5%88%97%0A%20%20%20%20for%20col%20in%20range%28n%29%3A%0A%20%20%20%20%20%20%20%20%23%20%E8%AE%A1%E7%AE%97%E8%AF%A5%E6%A0%BC%E5%AD%90%E5%AF%B9%E5%BA%94%E7%9A%84%E4%B8%BB%E5%AF%B9%E8%A7%92%E7%BA%BF%E5%92%8C%E6%AC%A1%E5%AF%B9%E8%A7%92%E7%BA%BF%0A%20%20%20%20%20%20%20%20diag1%20%3D%20row%20-%20col%20%2B%20n%20-%201%0A%20%20%20%20%20%20%20%20diag2%20%3D%20row%20%2B%20col%0A%20%20%20%20%20%20%20%20%23%20%E5%89%AA%E6%9E%9D%EF%BC%9A%E4%B8%8D%E5%85%81%E8%AE%B8%E8%AF%A5%E6%A0%BC%E5%AD%90%E6%89%80%E5%9C%A8%E5%88%97%E3%80%81%E4%B8%BB%E5%AF%B9%E8%A7%92%E7%BA%BF%E3%80%81%E6%AC%A1%E5%AF%B9%E8%A7%92%E7%BA%BF%E4%B8%8A%E5%AD%98%E5%9C%A8%E7%9A%87%E5%90%8E%0A%20%20%20%20%20%20%20%20if%20not%20cols%5Bcol%5D%20and%20not%20diags1%5Bdiag1%5D%20and%20not%20diags2%5Bdiag2%5D%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20%23%20%E5%B0%9D%E8%AF%95%EF%BC%9A%E5%B0%86%E7%9A%87%E5%90%8E%E6%94%BE%E7%BD%AE%E5%9C%A8%E8%AF%A5%E6%A0%BC%E5%AD%90%0A%20%20%20%20%20%20%20%20%20%20%20%20state%5Brow%5D%5Bcol%5D%20%3D%20%22Q%22%0A%20%20%20%20%20%20%20%20%20%20%20%20cols%5Bcol%5D%20%3D%20diags1%5Bdiag1%5D%20%3D%20diags2%5Bdiag2%5D%20%3D%20True%0A%20%20%20%20%20%20%20%20%20%20%20%20%23%20%E6%94%BE%E7%BD%AE%E4%B8%8B%E4%B8%80%E8%A1%8C%0A%20%20%20%20%20%20%20%20%20%20%20%20backtrack%28row%20%2B%201,%20n,%20state,%20res,%20cols,%20diags1,%20diags2%29%0A%20%20%20%20%20%20%20%20%20%20%20%20%23%20%E5%9B%9E%E9%80%80%EF%BC%9A%E5%B0%86%E8%AF%A5%E6%A0%BC%E5%AD%90%E6%81%A2%E5%A4%8D%E4%B8%BA%E7%A9%BA%E4%BD%8D%0A%20%20%20%20%20%20%20%20%20%20%20%20state%5Brow%5D%5Bcol%5D%20%3D%20%22%23%22%0A%20%20%20%20%20%20%20%20%20%20%20%20cols%5Bcol%5D%20%3D%20diags1%5Bdiag1%5D%20%3D%20diags2%5Bdiag2%5D%20%3D%20False%0A%0A%0Adef%20n_queens%28n%3A%20int%29%20-%3E%20list%5Blist%5Blist%5Bstr%5D%5D%5D%3A%0A%20%20%20%20%22%22%22%E6%B1%82%E8%A7%A3%20N%20%E7%9A%87%E5%90%8E%22%22%22%0A%20%20%20%20%23%20%E5%88%9D%E5%A7%8B%E5%8C%96%20n*n%20%E5%A4%A7%E5%B0%8F%E7%9A%84%E6%A3%8B%E7%9B%98%EF%BC%8C%E5%85%B6%E4%B8%AD%20'Q'%20%E4%BB%A3%E8%A1%A8%E7%9A%87%E5%90%8E%EF%BC%8C'%23'%20%E4%BB%A3%E8%A1%A8%E7%A9%BA%E4%BD%8D%0A%20%20%20%20state%20%3D%20%5B%5B%22%23%22%20for%20_%20in%20range%28n%29%5D%20for%20_%20in%20range%28n%29%5D%0A%20%20%20%20cols%20%3D%20%5BFalse%5D%20*%20n%20%20%23%20%E8%AE%B0%E5%BD%95%E5%88%97%E6%98%AF%E5%90%A6%E6%9C%89%E7%9A%87%E5%90%8E%0A%20%20%20%20diags1%20%3D%20%5BFalse%5D%20*%20%282%20*%20n%20-%201%29%20%20%23%20%E8%AE%B0%E5%BD%95%E4%B8%BB%E5%AF%B9%E8%A7%92%E7%BA%BF%E4%B8%8A%E6%98%AF%E5%90%A6%E6%9C%89%E7%9A%87%E5%90%8E%0A%20%20%20%20diags2%20%3D%20%5BFalse%5D%20*%20%282%20*%20n%20-%201%29%20%20%23%20%E8%AE%B0%E5%BD%95%E6%AC%A1%E5%AF%B9%E8%A7%92%E7%BA%BF%E4%B8%8A%E6%98%AF%E5%90%A6%E6%9C%89%E7%9A%87%E5%90%8E%0A%20%20%20%20res%20%3D%20%5B%5D%0A%20%20%20%20backtrack%280,%20n,%20state,%20res,%20cols,%20diags1,%20diags2%29%0A%0A%20%20%20%20return%20res%0A%0A%0A%22%22%22Driver%20Code%22%22%22%0Aif%20__name__%20%3D%3D%20%22__main__%22%3A%0A%20%20%20%20n%20%3D%204%0A%20%20%20%20res%20%3D%20n_queens%28n%29%0A%0A%20%20%20%20print%28f%22%E8%BE%93%E5%85%A5%E6%A3%8B%E7%9B%98%E9%95%BF%E5%AE%BD%E4%B8%BA%20%7Bn%7D%22%29%0A%20%20%20%20print%28f%22%E7%9A%87%E5%90%8E%E6%94%BE%E7%BD%AE%E6%96%B9%E6%A1%88%E5%85%B1%E6%9C%89%20%7Blen%28res%29%7D%20%E7%A7%8D%22%29%0A%20%20%20%20for%20state%20in%20res%3A%0A%20%20%20%20%20%20%20%20print%28%22--------------------%22%29%0A%20%20%20%20%20%20%20%20for%20row%20in%20state%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20print%28row%29&codeDivHeight=800&codeDivWidth=600&cumulative=false&curInstr=61&heapPrimitives=nevernest&origin=opt-frontend.js&py=311&rawInputLstJSON=%5B%5D&textReferences=false" target="_blank" rel="noopener noreferrer">全屏观看 ></a></div></p>
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</details>
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||||
<p>逐行放置 <span class="arithmatex">\(n\)</span> 次，考虑列约束，则从第一行到最后一行分别有 <span class="arithmatex">\(n\)</span>、<span class="arithmatex">\(n-1\)</span>、<span class="arithmatex">\(\dots\)</span>、<span class="arithmatex">\(2\)</span>、<span class="arithmatex">\(1\)</span> 个选择，<strong>因此时间复杂度为 <span class="arithmatex">\(O(n!)\)</span></strong> 。实际上，根据对角线约束的剪枝也能够大幅缩小搜索空间，因而搜索效率往往优于以上时间复杂度。</p>
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<p>逐行放置 <span class="arithmatex">\(n\)</span> 次，考虑列约束，则从第一行到最后一行分别有 <span class="arithmatex">\(n\)</span>、<span class="arithmatex">\(n-1\)</span>、<span class="arithmatex">\(\dots\)</span>、<span class="arithmatex">\(2\)</span>、<span class="arithmatex">\(1\)</span> 个选择，使用 <span class="arithmatex">\(O(n!)\)</span> 时间；当保存解时，需要复制矩阵 <code>state</code> 并添加进 <code>res</code> ，复制操作使用 <span class="arithmatex">\(O(n^2)\)</span> 时间；因此总体时间复杂度为 <span class="arithmatex">\(O(n! \cdot n^2)\)</span> 。实际上，根据对角线约束的剪枝也能够大幅缩小搜索空间，因而搜索效率往往优于以上时间复杂度。</p>
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<p>数组 <code>state</code> 使用 <span class="arithmatex">\(O(n^2)\)</span> 空间，数组 <code>cols</code>、<code>diags1</code> 和 <code>diags2</code> 皆使用 <span class="arithmatex">\(O(n)\)</span> 空间。最大递归深度为 <span class="arithmatex">\(n\)</span> ，使用 <span class="arithmatex">\(O(n)\)</span> 栈帧空间。因此，<strong>空间复杂度为 <span class="arithmatex">\(O(n^2)\)</span></strong> 。</p>
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<!-- Source file information -->
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@ -2,187 +2,187 @@
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<loc>https://www.hello-algo.com/chapter_tree/binary_tree/</loc>
|
||||
<lastmod>2024-02-10</lastmod>
|
||||
<lastmod>2024-02-13</lastmod>
|
||||
<changefreq>daily</changefreq>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://www.hello-algo.com/chapter_tree/binary_tree_traversal/</loc>
|
||||
<lastmod>2024-02-10</lastmod>
|
||||
<lastmod>2024-02-13</lastmod>
|
||||
<changefreq>daily</changefreq>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://www.hello-algo.com/chapter_tree/summary/</loc>
|
||||
<lastmod>2024-02-10</lastmod>
|
||||
<lastmod>2024-02-13</lastmod>
|
||||
<changefreq>daily</changefreq>
|
||||
</url>
|
||||
</urlset>
|
||||
BIN
sitemap.xml.gz
BIN
sitemap.xml.gz
Binary file not shown.
Loading…
Reference in New Issue
Block a user