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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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16.3 Terminology Table
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16.3 Glossary
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<h1 id="03-summary">0.3 Summary<a class="headerlink" href="#03-summary" title="Permanent link">¶</a></h1>
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<h3 id="1-key-review">1. Key Review<a class="headerlink" href="#1-key-review" title="Permanent link">¶</a></h3>
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<ul>
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<li>The main audience of this book is algorithm beginners. If you already have a certain foundation, this book can help you systematically review algorithm knowledge, and the source code in the book can also be used as a "problem-solving toolkit."</li>
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<li>The main audience of this book is algorithm beginners. If you already have some background, this book can help you systematically review algorithm knowledge, and the source code in the book can also be used as a "problem-solving toolkit."</li>
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<li>The content of the book mainly includes three parts: complexity analysis, data structures, and algorithms, covering most topics in this field.</li>
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<li>For algorithm novices, reading an introductory book during the initial learning stage is crucial, as it can help you avoid many detours.</li>
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<li>The animated illustrations in the book are usually used to introduce key and difficult knowledge. When reading this book, you should pay more attention to these contents.</li>
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<li>The animated illustrations in the book are usually used to introduce key concepts and challenging topics. When reading this book, you should pay more attention to these topics.</li>
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<li>Practice is the best way to learn programming. It is strongly recommended to run the source code and type the code yourself.</li>
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<li>The web version of this book has a comments section for each chapter, where you are welcome to share your questions and insights at any time.</li>
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</ul>
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