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krahets
2026-04-02 03:08:50 +08:00
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<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta name="description" content="Data Structures and Algorithms Crash Course with Animated Illustrations and Off-the-Shelf Code">
<meta name="description" content="Data structures and algorithms tutorial with animated illustrations and ready-to-run code">
<meta name="author" content="krahets">
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<span class="md-ellipsis">
Chapter 1. Encounter With Algorithms
Chapter 1. Encounter with Algorithms
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<span class="md-nav__icon md-icon"></span>
Chapter 1. Encounter With Algorithms
Chapter 1. Encounter with Algorithms
</label>
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<span class="md-ellipsis">
Chapter 4. Array and Linked List
Chapter 4. Arrays and Linked Lists
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<span class="md-nav__icon md-icon"></span>
Chapter 4. Array and Linked List
Chapter 4. Arrays and Linked Lists
</label>
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<span class="md-ellipsis">
4.4 Memory and Cache *
4.4 Random-Access Memory and Cache *
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<span class="md-ellipsis">
Chapter 5. Stack and Queue
Chapter 5. Stacks and Queues
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<span class="md-nav__icon md-icon"></span>
Chapter 5. Stack and Queue
Chapter 5. Stacks and Queues
</label>
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<span class="md-ellipsis">
5.3 Double-Ended Queue
5.3 Deque
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<span class="md-ellipsis">
Chapter 6. Hashing
Chapter 6. Hash Table
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<span class="md-nav__icon md-icon"></span>
Chapter 6. Hashing
Chapter 6. Hash Table
</label>
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<span class="md-ellipsis">
7.3 Array Representation of Tree
7.3 Array Representation of Binary Trees
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<span class="md-ellipsis">
8.2 Building a Heap
8.2 Heap Construction Operation
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<span class="md-ellipsis">
8.3 Top-K Problem
8.3 Top-k Problem
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<span class="md-ellipsis">
10.2 Binary Search Insertion
10.2 Binary Search Insertion Point
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<span class="md-ellipsis">
10.3 Binary Search Edge Cases
10.3 Binary Search Boundaries
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<span class="md-ellipsis">
10.5 Search Algorithms Revisited
10.5 Searching Algorithms Revisited
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<span class="md-ellipsis">
11.1 Sorting Algorithms
11.1 Sorting Algorithm
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<span class="md-ellipsis">
12.4 Hanoi Tower Problem
12.4 Hanota Problem
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<span class="md-ellipsis">
16.3 Terminology Table
16.3 Glossary
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<p align="center"> Figure 12-6 &nbsp; Dividing subtrees in preorder and inorder traversals </p>
<h3 id="3-describing-subtree-intervals-based-on-variables">3. &nbsp; Describing Subtree Intervals Based on Variables<a class="headerlink" href="#3-describing-subtree-intervals-based-on-variables" title="Permanent link">&para;</a></h3>
<p>Based on the above division method, <strong>we have obtained the index intervals of the root node, left subtree, and right subtree in <code>preorder</code> and <code>inorder</code></strong>. To describe these index intervals, we need to use several pointer variables.</p>
<p>Based on the above division method, <strong>we have obtained the index intervals of the root node, left subtree, and right subtree in <code>preorder</code> and <code>inorder</code></strong>. To describe these index intervals, we need to use several index variables.</p>
<ul>
<li>Denote the index of the current tree's root node in <code>preorder</code> as <span class="arithmatex">\(i\)</span>.</li>
<li>Denote the index of the current tree's root node in <code>inorder</code> as <span class="arithmatex">\(m\)</span>.</li>
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<a
href="../hanota_problem/"
class="md-footer__link md-footer__link--next"
aria-label="Next: 12.4 Hanoi Tower Problem"
aria-label="Next: 12.4 Hanota Problem"
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>
<div class="md-footer__title">
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Next
</span>
<div class="md-ellipsis">
12.4 Hanoi Tower Problem
12.4 Hanota Problem
</div>
</div>
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