LeetCode | POTD | Minimum Cost Path with Teleportations | Hard скачать в хорошем качестве

LeetCode | POTD | Minimum Cost Path with Teleportations | Hard

In this video, we solve a tricky Dynamic Programming grid problem with teleportation — a concept that breaks standard DP intuition. Most grid problems are solved using simple right & down DP, but this problem introduces teleports that allow zero-cost jumps between cells with certain values, limited to k uses. A greedy or naive DP approach fails here. 🔍 What you’ll learn in this video: • Why basic grid DP is NOT enough • How to build a base DP without teleport • How teleport acts as a global relaxation step • Why teleport and normal moves must be handled separately • Step-by-step dry run on an example • How to avoid TLE and wrong answers • Final optimized DP solution This pattern is extremely useful for advanced LeetCode problems and often appears in FAANG interviews. ⸻ Key Concepts Covered • Dynamic Programming on Grid • Value-based DP Relaxation • Teleport Optimization Technique • Multiple DP Passes • Interview-level DP Intuition ⸻ Time & Space Complexity • Time: O(k × m × n) • Space: O(m × n) #LeetCode #DynamicProgramming #DP #GridDP #TeleportDP #FAANG #CodingInterview #Python #DSA #InterviewPreparation #ProblemSolving #LeetCodeHard #LeetCodeMedium #Algorithm #SoftwareEngineering #SDE #CompetitiveProgramming #TechYouTube #CodeWithMe