filmov
tv
LeetCode 55: Jump Game | Java Solution | Greedy Approach
Показать описание
📊 In this video, I solve the #jumpgame problem on LeetCode, where we need to determine if we can reach the last index of an array by jumping forward. #dynamicprogramming #greedy #leetcode #javacoding
⏱️ **Time Complexity**: O(n) where n is the length of the input array
🧠 **Space Complexity**: O(1) constant extra space
## 📝 Timestamps
00:00 - Understanding problem statement
01:04 - Brute Force approach
02:17 - Improving with Dynamic programming
03:29 - Optimal solution - greedy algorithm
05:48 - Big O Notation explained
06:16 - Java code walk-through
06:56 - Solution analysis - runtime + memory
07:04 - Conclusion
## 🔑 Key Concepts
- Greedy algorithm
- Array traversal
- Optimal decision making
- Reachability problems
## 📚 Learning Points
- Understanding when to apply greedy algorithms
- Working backward for optimization
- Converting complex problems into simpler subproblems
- Handling array boundary conditions efficiently
## 🔄 Related Problems
- LeetCode 45: Jump Game II
- LeetCode 1306: Jump Game III
- LeetCode 1345: Jump Game IV
- LeetCode 1696: Jump Game VI
## 👥 Target Audience
This video is for intermediate programmers preparing for coding interviews with companies like Google, Amazon, and Microsoft, as well as computer science students looking to improve their algorithm skills.
## 📋 Prerequisites
- Basic Java syntax knowledge
- Understanding of arrays
- Familiarity with time and space complexity analysis
## 🔗 Links
## 💡 Additional Tips
- Pay special attention to the greedy approach's direction (working from end to beginning)
- Remember that we only need to determine if reaching the end is possible, not the minimum number of jumps
- Practice identifying when a problem can be solved greedily versus requiring dynamic programming
If you found this solution helpful, please like and subscribe! 👍 Drop your questions or alternative approaches in the comments below. I respond to every comment! #codinginterview #algorithmsanddata #softwareengineering
⏱️ **Time Complexity**: O(n) where n is the length of the input array
🧠 **Space Complexity**: O(1) constant extra space
## 📝 Timestamps
00:00 - Understanding problem statement
01:04 - Brute Force approach
02:17 - Improving with Dynamic programming
03:29 - Optimal solution - greedy algorithm
05:48 - Big O Notation explained
06:16 - Java code walk-through
06:56 - Solution analysis - runtime + memory
07:04 - Conclusion
## 🔑 Key Concepts
- Greedy algorithm
- Array traversal
- Optimal decision making
- Reachability problems
## 📚 Learning Points
- Understanding when to apply greedy algorithms
- Working backward for optimization
- Converting complex problems into simpler subproblems
- Handling array boundary conditions efficiently
## 🔄 Related Problems
- LeetCode 45: Jump Game II
- LeetCode 1306: Jump Game III
- LeetCode 1345: Jump Game IV
- LeetCode 1696: Jump Game VI
## 👥 Target Audience
This video is for intermediate programmers preparing for coding interviews with companies like Google, Amazon, and Microsoft, as well as computer science students looking to improve their algorithm skills.
## 📋 Prerequisites
- Basic Java syntax knowledge
- Understanding of arrays
- Familiarity with time and space complexity analysis
## 🔗 Links
## 💡 Additional Tips
- Pay special attention to the greedy approach's direction (working from end to beginning)
- Remember that we only need to determine if reaching the end is possible, not the minimum number of jumps
- Practice identifying when a problem can be solved greedily versus requiring dynamic programming
If you found this solution helpful, please like and subscribe! 👍 Drop your questions or alternative approaches in the comments below. I respond to every comment! #codinginterview #algorithmsanddata #softwareengineering
0:16:28
Jump Game - Greedy - Leetcode 55
0:10:06
LeetCode 55. Jump Game (Algorithm Explained)
0:08:42
Jump Game - Leetcode 55 - Dynamic Programming (Python)
0:00:57
Jump Game - Leetcode 55
0:05:49
Jump Game - LeetCode 55 Python
0:12:28
Jump game | Leetcode #55 | Valley peak approach
0:18:35
Jump Game (LeetCode 55) | Full solution with animations and visuals | Greedy Algorithms
0:10:53
L4. Jump Game - I | Greedy Algorithm Playlist
0:00:58
Greedy Algorithm - Jump Game - Leetcode 55
![[Java] Leetcode 55.](https://i.ytimg.com/vi/y9xmDnqixOI/hqdefault.jpg)
0:13:15
[Java] Leetcode 55. Jump Game [DP Decision Making #3]
0:05:11
Jump Game - LeetCode 55 - JavaScript
0:07:12
Jump Game - LeetCode 55 - Coding Interview Questions
0:07:16
LeetCode 55: Jump Game | Java Solution | Greedy Approach
0:02:48
LeetCode in C# | 55. Jump Game
0:07:51
LeetCode 55 - Jump Game - Java
0:08:22
Jump Game | Leetcode 55 | Top 150 interview question series
0:01:01
leetcode 55 jump game
0:08:16
Jump Game - Leetcode 55 - Blind 75 Explained - Dynamic Programming - Python
0:01:00
LeetCode#55 Jump Game - Python
0:09:52
Jump Game | Live Coding with Explanation | Leetcode - 55
0:08:44
LeetCode 55 Jump Game
0:12:52
Jump Game | LeetCode 55 | Coding Interview Tutorial
0:05:49
55. Jump Game - Day 26/31 Leetcode December Challenge
0:09:07
Leetcode 55 - Jump Game | Javascript - Top Interview 150
Комментарии