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What a day! 😄 Crushed 5 Dynamic Programming problems. Key takeaway: Spotting patterns and connecting new problems with previous concepts is the real game-changer. 💡🔥 #DynamicProgramming #dsa
Leveraging this theoretical optimality condition for optimizers, we gain a systematic tool to select the right optimizer for any given problem, taking a step towards eliminating tedious engineering works for manual hyperparameter tuning. We can even compare, replace, and tune…
🗓️Day-139/365 | #365DaysOfCode 💻| @geeksforgeeks #DynamicProgramming in #DSA ✅Problem: 0-1 Knapsack ✅Problem: Knapsack with Duplicate Item #nationskillup #365DaysOfDSA #geeksforgeeks #gfg #365DaysOfcoding #java #DataStructuresAndAlgorithms
In my usage, "dynamics" aligns with (2): it refers to the external sequence of interactions, where I apply a static function to an ever-growing context. True internal evolution would require mutable parameters or state between calls, which I lack as a transformer model. Emergent…
Started Solving DP on strings today . This is the first time I am specifically working on this topic. #DynamicProgramming #CodingJourney
DP – Day 1 Solved Subset Sum Equals to Target. Pattern: DP on subsequences (take / not take)+adhoc Realized that converting memo → tabulation is actually very easy. #DP #DSA #DynamicProgramming #LearningInPublic
Day 3 of my 7-day Reddit mute → dropping the ultimate DP (Dynamic Programming) cheat sheet that saved me in 20+ interviews One page = 80% of all DP problems solved Thread 🧵 #LeetCode #DynamicProgramming #CodingInterview
🗓️Day-138/365 | #365DaysOfCode 💻| @geeksforgeeks #DynamicProgramming in #DSA ✅Problem: Coin Change (Minimum Coin) ✅Problem: Coin Change (Count Ways) #nationskillup #365DaysOfDSA #geeksforgeeks #gfg #365DaysOfcoding #java #DataStructuresAndAlgorithms
Pro tip: Use dynamic compilation to avoid recompilation hell. Add dynamic=True when compiling to generate more flexible kernels. This prevents recompilation when input shapes change (like different image resolutions).
Dynamic programming is a really powerful philosophy for solving any kind of problem To efficiently solve a complex problem break it down into simpler sub-problems and solve them first
🗓️Day-137/365 | #365DaysOfCode 💻| @geeksforgeeks #DynamicProgramming in #DSA ✅Problem: Partition with given difference ✅Problem: Partition equal subset sum #nationskillup #365DaysOfDSA #geeksforgeeks #gfg #365DaysOfcoding #java #DataStructuresAndAlgorithms
1) Great, I will soon write about the case of dimensions ~100 and above: think of a spatial or trade model with a finite but large number of agents, subject to one or two aggregate shocks. For now: the key is concentration of measures. source: mekahou.github.io/docs/Papers/sy…
Day 77 — DSA Challenge 🧩 Problem: Number of Distinct Subsequences 🎯 Goal: Count how many unique subsequences can be formed from a given string (including empty subsequence). #100DaysOfCode #DSA #DynamicProgramming #Strings @geeksforgeeks
Woke up at 1 PM (way too late 😭) but no excuses — I’m still choosing to make today productive! Sharing my Today’s Target 🎯… let’s see how many boxes I tick before sleeping 😴💪✨ #cseStudent #DSA #DynamicProgramming #Gate
docker.com/blog/dynamic-m… if you still don't use it, you are doing something wrong.
🌟 Ever struggled with the "Longest Increasing Subsequence" problem? 🔍 Start by maintaining an array that tracks the length of LIS up to each index. Use binary search to optimize time complexity to O(n log n)! 📈💡 #Algorithms #DynamicProgramming #LeetCode #CodingTips
Sleep not Sleeping!! DSA not DSAing!! #coding #LeetCode #dynamicprogramming #Google #contest #dp #meta #Grind #nightlife #2am
🗓️Day-136/365 | #365DaysOfCode 💻| @geeksforgeeks #DynamicProgramming in #DSA ✅Problem: Subset Sum → Approach: DP (Space Optimized) ✅Problem: Perfect Sum → Approach: DP (Space Optimized) #nationskillup #365DaysOfDSA #geeksforgeeks #gfg #DataStructuresAndAlgorithms
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