67.7K
SARecursion in a Recursive Video 😵💫😵💫 #recursion #swe #coding #fyp
@sajjaad.khader
#Dynamic Programming And Recursion
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ENDynamic Modeling and Simulation of 6-Axis Pick and place Robotic Arm using MATLAB Simscape
#engineers #controlsystems #softwareengineering #controltheory #github #mathematics #matlab #simulink #coding #robotics #automation #dynamics #mechanic #system #modeling #simscape #simulation #lagrangian #pickandplacerobot #pendulum #cad #solidworks MathWorks YASKAWA Europe SOLIDWORKS
@engrprogrammer2494
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SIWhat universities will never teach you. High School Dropout to OpenAI AI Researcher Gabriel Petersson on the Extraordinary Podcast #openai #ai #learning #programming
@sigil.wen
5.1K
CO⚡️DSA in Action → Greedy Algorithm
Watch how this strategy builds the minimum spanning tree step-by-step!
Instead of looking at all possibilities, it picks the locally best option at every step…
…and still ends up with an optimal solution 💡
Would you use Greedy or Dynamic Programming for this problem? 🤔
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#DSA #GreedyAlgorithm #Algorithms #DataStructures #CodingLife #ProgrammerLife #CodeLoopa #TechCreators #LearnToCode #ComputerScience #ProblemSolving #CompetitiveProgramming #CodingCommunity #TechContent #CodeDaily
#codeloopa #trending #viral #meme #programminghumor #techreels #computerscience #programmingmemes
@codeloopaa
64.2K
THRecursion and iteration look similar… until you see the work they do.
#coding #learntocode #programming #engineering #recursion #iteration #learning #reels #fyp #codingforbeginners #tech
@this.girl.tech
239.3K
VOComment “DP” for the links.
You’ll Never Be Confused by Dynamic Programming Again 🚀
📌 Learn DP the right way with these free, must-watch videos:
1️⃣ The Last Dynamic Programming Video You'll Need to Watch – AlgoMonster
2️⃣ 5 Simple Steps for Solving Dynamic Programming Problems – Reducible
3️⃣ Mastering Dynamic Programming (Part 1) – Tech With Nikola
Stop memorizing patterns — start understanding how DP really works.
These resources break down state transitions, subproblems, and recurrence relations so you can tackle any interview problem with confidence.
Whether you’re preparing for FAANG interviews, leveling up your DSA skills, or just want to finally get DP, this is your roadmap.
Save this post, share it, and start mastering dynamic programming today. ⚡
@volkan.js
585.6K
STThe only DSA roadmap you need for your interview preparation, and problem solving.
Step 1. Go to google
Step 2. Search “Strivers A2Z DSA”
Step 3. Open the first link
Step 4. Bookmark the link
#coding #interviews #interview #interviewpreparation #interviewprep #sde #engineer #swe #amazon #google #faang
@striver_79
14.1K
ASMaster Dynamic Programming 🔥
#dp #coding #jobhunt #dsa
@asoftwareguy
143.6K
PRDynamic programming
#dsa #trending #trendingreels #viralreels #viral #instagram #instagood #reelsinstagram #reels #funny #dynamicprogramming #recursion #engineering #funnyvideos
@pritech_solutions
42.2K
RBRecursion vs Backtracking — Stop Confusing Them
Recursion is just a technique.
A function calling itself to solve smaller subproblems.
Use recursion when:
• You just need to count ways
• You need max/min
• You return true/false
• No need to explicitly undo choices
Backtracking is recursion with choices.
Use backtracking when:
• You have multiple options at each step
• You need to explore all paths
• You need to print all combinations/permutations
• You follow: choose → explore → unchoose
Remember this:
Every backtracking is recursion, but not every recursion is backtracking.
#jobs #coding #recursion #software #interviewprep
@rbanjali.codes
714.9K
TLHalf of CP is DP and the other half of CP is realising that the other half is nothing without DP
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#TLE #TleEliminators #competitiveprogramming #datastructures #algorithms #dynamicprogramming #Greedy #Math #Trees #strings #sorting #graphs #recursion
@tle_eliminators
13.6K
CSdynamic programming quiz. let’s see who’s cooked?
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✦──────────✦
Dynamic Programming is a problem-solving technique where you break a big problem into smaller subproblems, solve each one once, store the results, and reuse them so you never repeat work. It works best when a problem has overlapping subproblems (the same smaller tasks appear again and again) and optimal substructure (the best overall solution is built from the best solutions to its parts). DP is usually done in two styles: top-down with memoization, where you use recursion and cache every subproblem result, and bottom-up with tabulation, where you fill a table from the smallest cases up to the final answer. It powers classic problems like Fibonacci, longest common subsequence, edit distance, knapsack, grid path counting, and coin change. In short, DP is all about trading time for memory—stop re-solving problems and start reusing answers.
#computerscience #bocchitherock #dsa
@cs.bocchi
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