Count Partitions With Max-Min Difference at Most K | LeetCode 3578 | Java Code | Developer Coder

Welcome back to Developer Coder! In today’s video, we break down the LeetCode Hard problem “Count Partitions With Max-Min Difference at Most K (3578)”, using an efficient combination of Sliding Window + Dynamic Programming. This video helps you understand: 🔹 How to maintain real-time max & min using double-ended queues 🔹 Why prefix DP helps count valid partitions quickly 🔹 How the window shrinks when the condition fails 🔹 How to implement everything cleanly in Java 🔹 Optimizations used in competitive programming and interviews If you're preparing for MAANG, product-based companies, or advanced algorithm rounds, this technique is crucial! Make sure to like, share, and subscribe to Developer Coder for more algorithm deep-dives, Java tutorials, and LeetCode optimizations. Github: https://github.com/abhinavsharma2471716/dsa-java/blob/main/2025/Leetcode%20Daily%20Problems/DP/3578.%20Count%20Partitions%20With%20Max-Min%20Difference%20at%20Most%20K #leetcode #leetcode3578 #slidingwindow #dynamicprogramming #dp #java #javacode #codinginterview #faang #algorithms #dsa #codingtutorial #programming #developer #developercoder #competitiveprogramming #datastructures #techinterview #softwareengineer #interviewprep #codingpractice #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 Count Partitions With Max Min Difference At Most K LeetCode Count Partitions LeetCode 3578 Java Sliding Window DP Explanation Sliding Window With Deque Dynamic Programming Partition Problem DP And Sliding Window Combined Max Min Difference Partition Java Algorithm Tutorial LeetCode Hard Problem Guide Two Pointer Window Technique Deque Max Min Window Prefix Sum DP Logic Efficient Partition Counting Optimized Java Code Algorithms Coding Interview DP Question Advanced Sliding Window Problem Partitioning Array Constraints Max Min Sliding Window Trick DP Range Query Approach Java Competitive Programming Top Interview Problem Partition FAANG DP Preparation DP Using Prefix Precomputation Window Constraint Partitioning LeetCode Advanced Patterns Interview Ready Java Code Partition Problem Optimization Deque Based Window Maintenance High Level Algorithm Design Data Structures And Algorithms Java LeetCode Hard Tutorial Window Shrink Expand Logic Dynamic Window Partition DP For Subarray Partitions Max Min Constraint Logic Efficient Coding Techniques Top DP Interview Question Advanced Level DSA Problem Constraint Based Partitioning Algorithm Intuition Deep Dive Best Java DSA Explanation LeetCode Pattern Mastery Sliding Window Detailed Guide Dynamic Programming Breakdown Java Interview Prep Question Efficient Sliding Window Method Partitioning Subarrays Efficiently Max Min Window Condition Coding Techniques For DP Optimizing Prefix Based DP Java Approach To Hard Problems Partition Count Logic Problem Solving Mindset Top Coding Interview Patterns Advanced Data Structure Use Deque In Sliding Window Max Queue Min Queue Logic Algorithm Strategy Discussion Java Coding Skills Upgrade Tech Interview Preparation DSA Problem Patterns Window Based Counting Technique DP Based Count Calculation Hard Level LeetCode Walkthrough Sliding Window With Dual Deque Detailed Algorithm Breakdown Java Solution Structure Efficient Window Adjustment Valid Partition Counting DP Subarray Count Logic Range Based Partition Problem In Depth DSA Learning Problem Decomposition Strategy Sliding Window For Partition DP State Definition Guide Efficient Java Implementation Complex DSA Problem Solving Advanced Algorithm Thinking Top Java Coding Problem Coding Interview Topic DP LeetCode Hard Pattern DP Sliding Window Pattern Mastery DSA Techniques For Interviews Optimized DP And Window Algorithm Problem Walkthrough Solutions For Hard LeetCode Java Logic For Window DP Compute Partitions Efficiently Window Based DP Optimization Understanding DP Transitions Coding Pattern Sliding Window Subarray DP Counting Logic Java Skills For FAANG Algorithm Improvement Guide