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Word Break II | 2 Recursion Approaches | Backtracking | Memoization | Tree Diagram | Leetcode 140

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This is the 15th Video of our Playlist "Backtracking : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a classic Backtracking Problem : Word Break II | 2 Recursion Approaches | Backtracking | Memoization | Tree Diagram | | Leetcode 140 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Word Break II | 2 Recursion Approaches | Backtracking | Memoization | Tree Diagram | | Leetcode 140 | codestorywithMIK
Company Tags : Meta Phone Screen Interview, Twitter, Snapchat, Dropbox, Uber, Google
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Summary :
### Summary of Approaches
#### Approach 1: Simple Backtracking
- **Time Complexity:** \(O(2^n)\)
- **Space Complexity:** \(O(n)\) for recursion depth and \(O(2^n)\) for storing results.
- **Method:** Recursively explore all possible word breaks by trying each substring. If a substring is in the dictionary, continue with the rest of the string. Store valid sentences in the result list.
#### Approach 2: Backtracking with Memoization
- **Time Complexity:** \(O(2^n)\)
- **Space Complexity:** \(O(n)\) for recursion depth and \(O(2^n)\) for memoization and storing results.
- **Method:** Enhance backtracking by storing results of subproblems in a memoization map to avoid redundant calculations. Check the memoization map before solving subproblems to improve efficiency.
**Comparison:**
- Both approaches explore all possible ways to break the string into valid words.
- Approach 2 is more efficient due to memoization, which reduces redundant calculations and improves execution time for larger inputs.
✨ Timelines✨
00:00 - Introduction
#coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge #leetcodequestions #leetcodechallenge #hindi #india #coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge#leetcodequestions #leetcodechallenge #hindi #india #hindiexplanation #hindiexplained #easyexplaination #interview#interviewtips #interviewpreparation #interview_ds_algo #hinglish #github #design #data #google #video #instagram #facebook #leetcode #computerscience #leetcodesolutions #leetcodequestionandanswers #code #learning #dsalgo #dsa #newyear2024
In this video we will try to solve a classic Backtracking Problem : Word Break II | 2 Recursion Approaches | Backtracking | Memoization | Tree Diagram | | Leetcode 140 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Word Break II | 2 Recursion Approaches | Backtracking | Memoization | Tree Diagram | | Leetcode 140 | codestorywithMIK
Company Tags : Meta Phone Screen Interview, Twitter, Snapchat, Dropbox, Uber, Google
╔═╦╗╔╦╗╔═╦═╦╦╦╦╗╔═╗
║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣
╠╗║╚╝║║╠╗║╚╣║║║║║═╣
╚═╩══╩═╩═╩═╩╝╚╩═╩═╝
Summary :
### Summary of Approaches
#### Approach 1: Simple Backtracking
- **Time Complexity:** \(O(2^n)\)
- **Space Complexity:** \(O(n)\) for recursion depth and \(O(2^n)\) for storing results.
- **Method:** Recursively explore all possible word breaks by trying each substring. If a substring is in the dictionary, continue with the rest of the string. Store valid sentences in the result list.
#### Approach 2: Backtracking with Memoization
- **Time Complexity:** \(O(2^n)\)
- **Space Complexity:** \(O(n)\) for recursion depth and \(O(2^n)\) for memoization and storing results.
- **Method:** Enhance backtracking by storing results of subproblems in a memoization map to avoid redundant calculations. Check the memoization map before solving subproblems to improve efficiency.
**Comparison:**
- Both approaches explore all possible ways to break the string into valid words.
- Approach 2 is more efficient due to memoization, which reduces redundant calculations and improves execution time for larger inputs.
✨ Timelines✨
00:00 - Introduction
#coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge #leetcodequestions #leetcodechallenge #hindi #india #coding #helpajobseeker #easyrecipes #leetcode #leetcodequestionandanswers #leetcodesolution #leetcodedailychallenge#leetcodequestions #leetcodechallenge #hindi #india #hindiexplanation #hindiexplained #easyexplaination #interview#interviewtips #interviewpreparation #interview_ds_algo #hinglish #github #design #data #google #video #instagram #facebook #leetcode #computerscience #leetcodesolutions #leetcodequestionandanswers #code #learning #dsalgo #dsa #newyear2024
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