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Welcome to Developer Coder! In this video, we tackle a challenging problem from LeetCode: Minimum Number of Removals to Make Mountain Array (Leetcode 1671). This problem is classified as Hard and tests your understanding of advanced dynamic programming concepts like the Longest Increasing Subsequence (LIS) and Longest Decreasing Subsequence (LDS). Solving this problem requires a good grasp of array manipulation and is an excellent addition to your interview preparation for top tech companies. I’ll walk you through the code in Java step-by-step so you can master this essential concept. Key Concepts Covered in this Video: 🔹 Explanation of Mountain Array requirements 🔹 Using LIS and LDS techniques for optimal solution 🔹 Code walkthrough in Java 🔹 Performance analysis and optimizations Stay tuned for an in-depth exploration of this problem and gain the confidence to tackle similar challenging problems on your own! Don’t forget to Like 👍, Subscribe 🔔, and Share ↗️ if you find this video helpful. Drop your comments below if you have questions or requests for future videos! #DeveloperCoder #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 #Leetcode1671 #MountainArray #MinimumRemovals #LIS #LDS #HardLevel #JavaProgramming #ArrayProblems #DynamicProgramming #CompetitiveProgramming #CodingInterviews #CodeOptimization #JavaCode #AlgorithmChallenge #ProblemSolving #ArrayManipulation #DataStructures #JavaAlgorithms #TechInterviewPrep #LearnToCode #AdvancedCoding Minimum Number of Removals to Make Mountain Array Leetcode 1671 solution Java solution for Leetcode 1671 Mountain Array problem in Java Minimum removals for Mountain Array How to solve Mountain Array problem Leetcode LIS and LDS for Mountain Array Dynamic programming Mountain Array Mountain Array using LIS LDS Hard Leetcode problem Mountain Array Leetcode Mountain Array Java code Minimum deletions for Mountain Array Array problems with LIS LIS and LDS explained for Mountain Array Java code for Minimum Number of Removals Dynamic programming in Java for Mountain Array LIS approach for Mountain Array Mountain Array with LDS solution Dynamic programming Java Mountain Array Mountain Array removal solution Optimizing LIS and LDS in Java Mountain Array problem walkthrough Interview question on Mountain Array Java coding interview problems Advanced dynamic programming problems Leetcode Java hard problems Using LIS LDS for array problems Mountain Array coding explanation Leetcode tutorial Mountain Array Developer Coder Mountain Array Step by step Mountain Array solution Mountain Array problem explained Mountain Array Leetcode tutorial Using Java for Leetcode Mountain Array Solving Mountain Array with DP Mountain Array minimum removals Hard level problem Leetcode 1671 Java algorithms for Leetcode Array manipulations in Java LIS and LDS Java solutions Dynamic programming concepts Mountain Array Leetcode Mountain Array tutorial Competitive programming with Java Learning DP with Mountain Array Advanced array problems in Java Leetcode DP problem Mountain Array How to solve Leetcode 1671 Java tutorials for Mountain Array Java explanation Mountain Array Using DP for Mountain Array Mountain Array minimum deletion solution Mountain Array problem Java explanation Dynamic programming for competitive coding Hard array problem Java solution Coding Mountain Array in Java Minimum deletions in Mountain Array LIS LDS Mountain Array Mountain Array example problem Solving Mountain Array step by step Mountain Array dynamic programming Java DP problem Mountain Array Array coding problems Mountain Array Mountain Array Java tutorial Developer Coder Leetcode 1671