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) Divide & Conquer Algorithms
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Classroom Contents
Recursion in Programming - Full Course
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- 1 ) Introduction
- 2 ) What Is Recursion?
- 3 ) Explaining Recursion via ATM Analogy
- 4 ) Explaining Recursion via Essay Revision Analogy
- 5 ) Summarizing What Recursion Is
- 6 ) Why & Why Not Recursion
- 7 ) Understanding The Call Stack
- 8 ) Call Stack Analogy
- 9 ) Recursion With Strings Introduction
- 10 ) String Reversal Explanation
- 11 ) String Reversal Call Stack Animation
- 12 ) Palindrome Explanation
- 13 ) Palindrome Call Stack Animation
- 14 ) Recursion With Numbers
- 15 ) Decimal To Binary Explanation
- 16 ) Decimal To Binary Code & Debug
- 17 ) Sum of Natural Numbers Explanation
- 18 ) Sum of Natural Numbers Code & Debug
- 19 ) Divide & Conquer Algorithms
- 20 ) Binary Search Animation & Explanation
- 21 ) Fibonacci Explanation
- 22 ) Fibonacci Animation
- 23 ) Merge Sort Explanation & Animation
- 24 ) Merge Sort Code & Debug
- 25 ) Linked Lists
- 26 ) Linked List Reversal Animation
- 27 ) Linked List Code & Debug
- 28 ) Merge Two Sorted Linked Lists Animation
- 29 ) Merge Two Sorted Linked Lists Code & Debug
- 30 ) Trees
- 31 ) Insert Value Into Binary Search Tree Animation
- 32 ) Insert Value Into Binary Search Tree Code Walkthrough
- 33 ) Insert Value Into Binary Search Tree Call Stack Animation
- 34 ) Print All Leaf Nodes Explanation
- 35 ) Print All Leaf Nodes Code & Debug
- 36 ) Graphs
- 37 ) Depth-First Search Animation
- 38 ) Depth-First Search Code Walkthrough
- 39 ) Recursion Optimizations
- 40 ) Memoization & Caching
- 41 ) Tail-Call Recursion
- 42 ) Conclusion