#25-Network Time Delay (Medium)\
2:05 Coding Our Solution With Dijkstra
19:38 Time And Space Complexity Of Our Solution
32:46 Thinking About Negative Weights
40:28 What is The Bellman-Ford Algorithm-Conceptualizing Dynamic Programming
56:50 What is The Bellman-Ford Algorithm-The Algorithm Itself
1:13:07 Coding Our Solution With Bellman-Ford
Programming-Question #26-Minimum Cost Of Climbing Stairs (Easy)\
1:22:27 Question #26-Minimum Cost Of Climbing Stairs & How To Approach DP
1:32:05 Understanding & Identifying Recurrence Relation
1:47:54 First Step-Recursive Solution From Recurrence Relation
1:53:28 Second Step-Memoizing Our Redundant Recursive Calls
2:01:17 Coding Our Memoization Optimization
2:09:08 Understanding The Bottom Up Approach (Tabulation)
2:15:38 Third Step-Bottom Up Tabulation
2:21:03 Fourth Step-Bottom Up Optimization
Programming-Question #27-Knight Probability In Chessboard (Medium)\
2:27:55 Question #27-Knight Probability In Chessboard
2:38:04 Thinking About Test Cases To Help Us
2:41:56 Identifying The Recurrence Relation
2:57:26 First Step-Recursive Solution From Recurrence Relation
3:02:36 Second Step-Memoizing Our Redundant Recursive Calls
3:16:49 Figuring Out The Logic For Our Bottom Up Solution
3:30:49 Third Step-Bottom Up Tabulation
3:39:20 Fourth Step-Bottom Up Optimization
#28-Sudoku Solver (Hard)\
3:46:16 Understanding The Basics Of Backtracking
3:53:22 Question #28-Sudoku Solver
3:57:42 Learning The Backtracking Template
4:09:00 Applying Our Backtracking Template To Sudoku Solver Logic
4:15:43 Coding How To Get Box ID
4:23:32 Setting Up Our Solution Code
4:30:37 Coding The Recursive Backtracking Portion Of Our Solution
4:49:56 Thinking About The Space And Time Complexity
Design-Question #29-Monarchy\
4:56:55 Understanding Interface Design & Question #29-Monarchy
5:07:47 Figuring Out Our Test Cases
5:13:45 Thinking About The Logical Of The Monarchy
5:23:26 Coding Our Monarchy Solution
#30-Implement Prefix Trie (Medium)\
5:38:24 Introducing Tries
5:39:32 Question #30-Implement Prefix Trie
5:49:22 Understanding The Logic For Our Methods
5:53:16 Implementing Our Prefix Trie Data Structure Solution
To Go From Here\
6:08:32 Thank You!
Big O\
6:09:50 Section Overview
6:12:14 What Is Good Code
6:19:11 Big O and Scalability
6:30:20 O(n)
6:35:59 O(1)
6:42:10 Solution Big O Calculation
6:48:04 Solution Big O Calculation 2
6:50:34 Simplifying Big O
6:52:25 Big O Rule 1
6:56:54 Big O Rule 2
7:03:31 Big O Rule 3
7:06:45 O(n^2)
7:13:58 Big O Rule 4
7:20:46 Big O Cheat Sheet
7:24:05 What Does This All Mean
7:29:37 O(n!)
7:30:56 3 Pillars Of Programming
7:34:28 Space Complexity
7:36:51 Exercise Space Complexity
7:43:15 Exercise Twitter
7:50:29 Section Summary
Arrays\
7:55:13 Arrays Introduction
8:09:04 Static vs Dynamic Arrays
8:15:45 Optional Implementing An Array
Hash Tables\
8:33:05 Hash Tables Introduction
8:37:15 Hash Function
8:43:11 Hash Collisions
8:52:55 Hash Tables VS Arrays
Linked Lists\
8:54:56 Linked Lists Introduction
8:57:23 What Is A Linked List
9:02:00 Exercise Why Linked Lists
9:04:06 Solution Why Linked Lists
9:09:42 What Is A Pointer
9:15:27 Doubly Linked Lists
9:18:46 Singly VS Doubly Linked Lists
9:21:26 Linked Lists Review
Stacks Queues\
9:26:34 Stacks Queues Introduction
9:29:33 Stacks
9:33:02 Queues
9:36:33 Exercise Stacks VS Queues
9:39:39 Solution Stacks VS Queues
9:43:18 Stacks Queues Review
Trees\
9:45:38 Trees Introduction
9:52:01 Binary Trees
9:57:46 O(log n)
10:04:47 Binary Search Trees
10:10:59 Balanced VS Unbalanced BST
10:14:42 BST Pros and Cons
10:17:09 Tries
Searching BFS DFS\
10:20:25 Graph Tree Traversals
10:24:22 BFS Introduction
10:27:07 DFS Introduction
10:30:30 BFS vs DFS
10:33:51 Exercise BFS vs DFS
10:34:35 Solution BFS vs DFS
10:37:51 breadthFirstSearch()
10:47:07 PreOrder, InOrder, PostOrder
10:52:28 depthFirstSearch()
Recursion\
11:04:31 Recursion Introduction
11:10:08 Stack Overflow
11:16:26 Anatomy Of Recursion
11:26:53 Recursive VS Iterative
11:31:10 When To Use Recursion
11:35:10 Recursion Review
Sorting\
11:37:57 Sorting Introduction
11:44:59 The Issue With sort()
11:51:50 Sorting Algorithms
11:55:28 Bubble Sort
11:59:14 Solution Bubble Sort
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