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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width,initial-scale=1">
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<meta name="description" content="Data Structures and Algorithms Crash Course with Animated Illustrations and Off-the-Shelf Code">
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<meta name="description" content="Data structures and algorithms tutorial with animated illustrations and ready-to-run code">
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<meta name="author" content="krahets">
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<span class="md-ellipsis">
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Chapter 1. Encounter With Algorithms
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Chapter 1. Encounter with Algorithms
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<span class="md-nav__icon md-icon"></span>
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Chapter 1. Encounter With Algorithms
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Chapter 1. Encounter with Algorithms
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</label>
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<span class="md-ellipsis">
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Chapter 4. Array and Linked List
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Chapter 4. Arrays and Linked Lists
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<span class="md-nav__icon md-icon"></span>
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Chapter 4. Array and Linked List
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Chapter 4. Arrays and Linked Lists
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</label>
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<span class="md-ellipsis">
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4.4 Memory and Cache *
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4.4 Random-Access Memory and Cache *
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<span class="md-ellipsis">
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Chapter 5. Stack and Queue
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Chapter 5. Stacks and Queues
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<span class="md-nav__icon md-icon"></span>
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Chapter 5. Stack and Queue
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Chapter 5. Stacks and Queues
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</label>
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<span class="md-ellipsis">
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5.3 Double-Ended Queue
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5.3 Deque
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<span class="md-ellipsis">
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Chapter 6. Hashing
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Chapter 6. Hash Table
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<span class="md-nav__icon md-icon"></span>
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Chapter 6. Hashing
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Chapter 6. Hash Table
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</label>
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<span class="md-ellipsis">
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7.3 Array Representation of Tree
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7.3 Array Representation of Binary Trees
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<span class="md-ellipsis">
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8.2 Building a Heap
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8.2 Heap Construction Operation
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<span class="md-ellipsis">
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8.3 Top-K Problem
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8.3 Top-k Problem
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<span class="md-ellipsis">
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10.2 Binary Search Insertion
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10.2 Binary Search Insertion Point
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<span class="md-ellipsis">
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10.3 Binary Search Edge Cases
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10.3 Binary Search Boundaries
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<span class="md-ellipsis">
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10.5 Search Algorithms Revisited
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10.5 Searching Algorithms Revisited
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<span class="md-ellipsis">
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11.1 Sorting Algorithms
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11.1 Sorting Algorithm
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<span class="md-ellipsis">
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12.4 Hanoi Tower Problem
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12.4 Hanota Problem
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<span class="md-ellipsis">
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12.4 Hanoi Tower Problem
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12.4 Hanota Problem
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<span class="md-ellipsis">
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16.3 Terminology Table
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16.3 Glossary
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<div class="admonition quote">
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<p class="admonition-title">Quote</p>
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<p>The hanota problem originates from an ancient legend. In a temple in ancient India, monks had three tall diamond pillars and <span class="arithmatex">\(64\)</span> golden discs of different sizes. The monks continuously moved the discs, believing that when the last disc was correctly placed, the world would come to an end.</p>
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<p>However, even if the monks moved one disc per second, it would take approximately <span class="arithmatex">\(2^{64} \approx 1.84×10^{19}\)</span> seconds, which is about <span class="arithmatex">\(5850\)</span> billion years, far exceeding current estimates of the age of the universe. Therefore, if this legend is true, we should not need to worry about the end of the world.</p>
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<p>However, even if the monks moved one disc per second, it would take approximately <span class="arithmatex">\(2^{64} \approx 1.84×10^{19}\)</span> seconds, which is about <span class="arithmatex">\(585\)</span> billion years, far exceeding current estimates of the age of the universe. Therefore, if this legend is true, we should not need to worry about the end of the world.</p>
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</div>
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