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Count the Number of Arrays with K Matching Adjacent Elements | LeetCode 3405 |Java| Developer Coder

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Welcome to Developer Coder! 🚀
In this video, we’ll walk through the LeetCode problem "Count the Number of Arrays with K Matching Adjacent Elements (3405)" using Java. This problem is a classic example of how Combinatorics and Dynamic Programming blend to solve advanced constraints effectively.
🔍 This problem is often asked in interviews at top tech companies like Google, Microsoft, Amazon, and more. Understanding this can boost your coding interview prep for product-based companies.
🧠 Learn how to approach this problem using mathematical thinking and break down the logic into programmable components using Java.
👉 Whether you're preparing for coding interviews, enhancing your Java skills, or mastering combinatorics, this video is for YOU.
✅ Topics Covered:
Combinatorial Mathematics
Modular Arithmetic
Java Implementation
Edge Case Handling
Efficient Code Structure
📽️ Don't forget to LIKE, SHARE, COMMENT, and SUBSCRIBE to Developer Coder for more awesome problem-solving tutorials every week!
#DeveloperCoder #Leetcode3405 #JavaCoding #Combinatorics #DynamicProgramming #CodingInterview #DSA #AdjacencyCount #LeetcodeHard #JavaDevelopers #TechPrep #CompetitiveProgramming #InterviewPrep #CodeNewbie #TechInterview #MathInCode #AlgorithmPractice #ProblemSolving #ModularArithmetic #JavaSolutions #Google #Microsoft #Apple #Amazon #Facebook #IBM #Oracle #Cisco #Intel #Dell #HP #Adobe #Salesforce #SAP #NVIDIA #Tencent #Alibaba #Sony #Netflix #Baidu #Xiaomi #Qualcomm #VMware #Twitter #Fujitsu #Lenovo #Infosys #Capgemini #Accenture
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In this video, we’ll walk through the LeetCode problem "Count the Number of Arrays with K Matching Adjacent Elements (3405)" using Java. This problem is a classic example of how Combinatorics and Dynamic Programming blend to solve advanced constraints effectively.
🔍 This problem is often asked in interviews at top tech companies like Google, Microsoft, Amazon, and more. Understanding this can boost your coding interview prep for product-based companies.
🧠 Learn how to approach this problem using mathematical thinking and break down the logic into programmable components using Java.
👉 Whether you're preparing for coding interviews, enhancing your Java skills, or mastering combinatorics, this video is for YOU.
✅ Topics Covered:
Combinatorial Mathematics
Modular Arithmetic
Java Implementation
Edge Case Handling
Efficient Code Structure
📽️ Don't forget to LIKE, SHARE, COMMENT, and SUBSCRIBE to Developer Coder for more awesome problem-solving tutorials every week!
#DeveloperCoder #Leetcode3405 #JavaCoding #Combinatorics #DynamicProgramming #CodingInterview #DSA #AdjacencyCount #LeetcodeHard #JavaDevelopers #TechPrep #CompetitiveProgramming #InterviewPrep #CodeNewbie #TechInterview #MathInCode #AlgorithmPractice #ProblemSolving #ModularArithmetic #JavaSolutions #Google #Microsoft #Apple #Amazon #Facebook #IBM #Oracle #Cisco #Intel #Dell #HP #Adobe #Salesforce #SAP #NVIDIA #Tencent #Alibaba #Sony #Netflix #Baidu #Xiaomi #Qualcomm #VMware #Twitter #Fujitsu #Lenovo #Infosys #Capgemini #Accenture
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