| 1. 0-1 knapsack (problem).html | 2.3 KB | ||
| 1. Coin change (problem).html | 1.6 KB | ||
| 1. Directed acyclic graphs in dynamic programming.mp4 | 30.5 MB | ||
| 1. Directed acyclic graphs in dynamic programming.srt | 7.6 KB | ||
| 1. Edit distance (problem).html | 819.2 B | ||
| 1. Gold mine (problem).html | 2 KB | ||
| 1. House robber (problem).html | 1.5 KB | ||
| 1. IMPORTANT.html | 307.2 B | ||
| 1. Longest common subsequence (problem).html | 819.2 B | ||
| 1. Longest increasing subsequence (problem).html | 1 KB | ||
| 1. Minimum cost for tickets (problem).html | 2.2 KB | ||
| 1. Minimum cost path problem.mp4 | 112.2 MB | ||
| 1. Minimum cost path problem.srt | 36.4 KB | ||
| 1. Partition (problem).html | 1.5 KB | ||
| 1. Paths in matrix (problem).html | 2 KB | ||
| 1. Rod cutting (problem).html | 2.1 KB | ||
| 1. Shortest common supersequence (problem).html | 921.6 B | ||
| 1. Square matrix of ones (problem).html | 2 KB | ||
| 1. Subset sum (problem).html | 1.5 KB | ||
| 1. Top-down approach (memoization).mp4 | 44.1 MB | ||
| 1. Top-down approach (memoization).srt | 15 KB | ||
| 1. Ways to climb (problem).html | 2.1 KB | ||
| 1. Ways to decode (problem).html | 2.6 KB | ||
| 1.1 minimum cost path.pptx | 1.8 MB | ||
| 2. 0-1 knapsack (solution).mp4 | 76.6 MB | ||
| 2. 0-1 knapsack (solution).srt | 23.8 KB | ||
| 2. Bottom-up approach (tabulation).mp4 | 27.5 MB | ||
| 2. Bottom-up approach (tabulation).srt | 10.3 KB | ||
| 2. Coin change (solution).mp4 | 36 MB | ||
| 2. Coin change (solution).srt | 11.5 KB | ||
| 2. Edit distance (solution).mp4 | 53.9 MB | ||
| 2. Edit distance (solution).srt | 18 KB | ||
| 2. Gold mine (solution).mp4 | 52.2 MB | ||
| 2. Gold mine (solution).srt | 15.4 KB | ||
| 2. House robber (solution).mp4 | 30.8 MB | ||
| 2. House robber (solution).srt | 14 KB | ||
| 2. How to solve almost any dynamic programming problem.mp4 | 39.3 MB | ||
| 2. How to solve almost any dynamic programming problem.srt | 12.7 KB | ||
| 2. Longest common subsequence (solution).mp4 | 41.8 MB | ||
| 2. Longest common subsequence (solution).srt | 14 KB | ||
| 2. Longest increasing subsequence (solution).mp4 | 62.7 MB | ||
| 2. Longest increasing subsequence (solution).srt | 27.6 KB | ||
| 2. Minimum cost for tickets (solution).html | 8.7 KB | ||
| 2. Minimum cost path problem (code).html | 1.9 KB | ||
| 2. Partition (solution).mp4 | 20.1 MB | ||
| 2. Partition (solution).srt | 6.7 KB | ||
| 2. Paths in matrix (solution).mp4 | 45.9 MB | ||
| 2. Paths in matrix (solution).srt | 19.2 KB | ||
| 2. Rod cutting (solution).html | 10.2 KB | ||
| 2. Shortest common supersequence (solution).mp4 | 44.8 MB | ||
| 2. Shortest common supersequence (solution).srt | 16.3 KB | ||
| 2. Square matrix of ones (solution).html | 8.1 KB | ||
| 2. Subset sum (solution).html | 9.3 KB | ||
| 2. Ways to climb (solution).mp4 | 33.8 MB | ||
| 2. Ways to climb (solution).srt | 10.5 KB | ||
| 2. Ways to decode (solution).html | 11.7 KB | ||
| 2. What is dynamic programming.mp4 | 44.7 MB | ||
| 2. What is dynamic programming.srt | 13.5 KB | ||
| 2.1 0-1 knapsack.pptx | 1.9 MB | ||
| 2.1 coin change.pptx | 928.5 KB | ||
| 2.1 gold mine.pptx | 1.1 MB | ||
| 2.1 house robber.pptx | 791.7 KB | ||
| 2.1 lcsubsequence.pptx | 1.4 MB | ||
| 2.1 longest increasing subsequence.pptx | 1.4 MB | ||
| 2.1 min cost tickets.pptx | 1.1 MB | ||
| 2.1 partition problem.pptx | 590.4 KB | ||
| 2.1 paths in matrix.pptx | 789 KB | ||
| 2.1 rod cutting.pptx | 1.1 MB | ||
| 2.1 scs.pptx | 935.7 KB | ||
| 2.1 square matrix of ones.pptx | 1.2 MB | ||
| 2.1 subset sum.pptx | 874.7 KB | ||
| 2.1 ways to climb.pptx | 1.2 MB | ||
| 2.1 ways to decode.pptx | 1.2 MB | ||
| 3. 0-1 knapsack (code).html | 1.8 KB | ||
| 3. Coin change (code).html | 1.4 KB | ||
| 3. Edit distance (code).html | 1.8 KB | ||
| 3. Gold mine (code).html | 1.8 KB | ||
| 3. House robber (code).html | 921.6 B | ||
| 3. Longest common subsequence (code).html | 1.3 KB | ||
| 3. Longest increasing subsequence (code).html | 1.1 KB | ||
| 3. Minimum cost for tickets (code).html | 1.6 KB | ||
| 3. Partition (code).html | 716.8 B | ||
| 3. Paths in matrix (code).html | 1.6 KB | ||
| 3. Reminder on recursion.mp4 | 25.8 MB | ||
| 3. Reminder on recursion.srt | 10.3 KB | ||
| 3. Rod cutting (code).html | 716.8 B | ||
| 3. Shortest common supersequence (code).html | 2 KB | ||
| 3. Square matrix of ones (code).html | 1.9 KB | ||
| 3. Subset sum (code).html | 1.3 KB | ||
| 3. Top-down vs Bottom-up.mp4 | 10.7 MB | ||
| 3. Top-down vs Bottom-up.srt | 3.9 KB | ||
| 3. Ways to climb (code).html | 716.8 B | ||
| 3. Ways to decode (code).html | 1.5 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 95 total files | |||
Dynamic programming by Inside Code
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 42 lectures (4h 3m) | Size: 628.4 MB
Learn how to solve almost any dynamic programming problem with both its approaches (memoization and tabulation)
What you'll learn:
Importance of dynamic programming
How to use the top-down approach of dynamic programming (memoization)
How to use the bottom-up approach of dynamic programming (tabulation)
How to solve almost any dynamic programming problem
Requirements
Programming basics
Algorithms and data structures basics
Description
Dynamic programming is one of the most important and powerful algorithmic techniques that can be used to solve a lot of computational problems, it's a fundamental technique to learn to strengthen your algorithms and problem solving skills
But, a lot of students find hard times understanding dynamic programming and being able to apply it to solve problems, if you are in this situation, this course is made for you!
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.3 GB | freecoursewb | 2 months | 10 | 0 | |
| 1.9 GB | freecoursewb | 4 months | 0 | 0 | |
| 3.4 GB | freecoursewb | 6 months | 0 | 0 | |
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