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@@ -3454,7 +3454,7 @@ cap[i, j] = \min(ht[i], ht[j]) \times (j - i)
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<p><img alt="初始状态" src="../max_capacity_problem.assets/max_capacity_initial_state.png" /></p>
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<p align="center"> 图:初始状态 </p>
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<p>我们发现,<strong>如果此时将长板 <span class="arithmatex">\(j\)</span> 向短板 <span class="arithmatex">\(i\)</span> 靠近,则容量一定变小</strong>。这是因为在移动长板 <span class="arithmatex">\(j\)</span> 后:</p>
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<p>如下图所示,<strong>若此时将长板 <span class="arithmatex">\(j\)</span> 向短板 <span class="arithmatex">\(i\)</span> 靠近,则容量一定变小</strong>。这是因为在移动长板 <span class="arithmatex">\(j\)</span> 后:</p>
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<ul>
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<li>宽度 <span class="arithmatex">\(j-i\)</span> 肯定变小。</li>
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<li>高度由短板决定,因此高度只可能不变( <span class="arithmatex">\(i\)</span> 仍为短板)或变小(移动后的 <span class="arithmatex">\(j\)</span> 成为短板)。</li>
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@@ -3462,11 +3462,12 @@ cap[i, j] = \min(ht[i], ht[j]) \times (j - i)
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<p><img alt="向内移动长板后的状态" src="../max_capacity_problem.assets/max_capacity_moving_long_board.png" /></p>
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<p align="center"> 图:向内移动长板后的状态 </p>
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<p>反向思考,<strong>我们只有向内收缩短板 <span class="arithmatex">\(i\)</span> ,才有可能使容量变大</strong>。因为虽然宽度一定变小,<strong>但高度可能会变大</strong>(移动后的短板 <span class="arithmatex">\(i\)</span> 可能会变长)。</p>
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<p><img alt="向内移动长板后的状态" src="../max_capacity_problem.assets/max_capacity_moving_short_board.png" /></p>
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<p align="center"> 图:向内移动长板后的状态 </p>
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<p>反向思考,<strong>我们只有向内收缩短板 <span class="arithmatex">\(i\)</span> ,才有可能使容量变大</strong>。因为虽然宽度一定变小,<strong>但高度可能会变大</strong>(移动后的短板 <span class="arithmatex">\(i\)</span> 可能会变长)。例如在下图中,移动短板后面积变大。</p>
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<p><img alt="向内移动短板后的状态" src="../max_capacity_problem.assets/max_capacity_moving_short_board.png" /></p>
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<p align="center"> 图:向内移动短板后的状态 </p>
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<p>由此便可推出本题的贪心策略:</p>
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<p>由此便可推出本题的贪心策略:初始化两指针分裂容器两端,每轮向内收缩短板对应的指针,直至两指针相遇。</p>
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<p>下图展示了贪心策略的执行过程。</p>
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<ol>
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<li>初始状态下,指针 <span class="arithmatex">\(i\)</span> , <span class="arithmatex">\(j\)</span> 分列与数组两端。</li>
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<li>计算当前状态的容量 <span class="arithmatex">\(cap[i, j]\)</span> ,并更新最大容量。</li>
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@@ -3694,7 +3695,7 @@ cap[i, j] = \min(ht[i], ht[j]) \times (j - i)
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</div>
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<h3 id="3">3. 正确性证明<a class="headerlink" href="#3" title="Permanent link">¶</a></h3>
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<p>之所以贪心比穷举更快,是因为每轮的贪心选择都会“跳过”一些状态。</p>
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<p>比如在状态 <span class="arithmatex">\(cap[i, j]\)</span> 下,<span class="arithmatex">\(i\)</span> 为短板、<span class="arithmatex">\(j\)</span> 为长板。若贪心地将短板 <span class="arithmatex">\(i\)</span> 向内移动一格,会导致以下状态被“跳过”。<strong>这意味着之后无法验证这些状态的容量大小</strong>。</p>
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<p>比如在状态 <span class="arithmatex">\(cap[i, j]\)</span> 下,<span class="arithmatex">\(i\)</span> 为短板、<span class="arithmatex">\(j\)</span> 为长板。若贪心地将短板 <span class="arithmatex">\(i\)</span> 向内移动一格,会导致下图所示的状态被“跳过”。<strong>这意味着之后无法验证这些状态的容量大小</strong>。</p>
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<div class="arithmatex">\[
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cap[i, i+1], cap[i, i+2], \dots, cap[i, j-2], cap[i, j-1]
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\]</div>
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