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Solutions & Explanations

Browse 4,029+ detailed solutions with multiple approaches, code in Python, Java, C++ and more.

4,029 Solutions961 Easy2102 Medium966 Hard
#2963Hard

Count the Number of Good Partitions

ArrayCombinatoricsHash Table+1

Acceptance: 49.3%

#2968Hard

Apply Operations to Maximize Frequency Score

ArrayBinary SearchPrefix Sum+2

Acceptance: 39.3%

#2969Hard

Minimum Number of Coins for Fruits II

ArrayDynamic ProgrammingHeap (Priority Queue)+2

Acceptance: 48.2%

#2972Hard

Count the Number of Incremovable Subarrays II

ArrayBinary SearchTwo Pointers

Acceptance: 39.8%

#2973Hard

Find Number of Coins to Place in Tree Nodes

Depth-First SearchDynamic ProgrammingHeap (Priority Queue)+2

Acceptance: 37.4%

#2977Hard

Minimum Cost to Convert String II

ArrayDynamic ProgrammingGraph+3

Acceptance: 59.1%

#2983Hard

Palindrome Rearrangement Queries

Hash TablePrefix SumString

Acceptance: 25.1%

#2991Hard

Top Three Wineries

Database

Acceptance: 55.8%

#2994Hard

Friday Purchases II

Database

Acceptance: 74.6%

#2995Hard

Viewers Turned Streamers

Database

Acceptance: 43.4%

#2999Hard

Count the Number of Powerful Integers

Dynamic ProgrammingMathString

Acceptance: 46.3%

#3003Hard

Maximize the Number of Partitions After Operations

Bit ManipulationBitmaskDynamic Programming+1

Acceptance: 53.5%

#3008Hard

Find Beautiful Indices in the Given Array II

Binary SearchHash FunctionRolling Hash+3

Acceptance: 28.3%

#3009Hard

Maximum Number of Intersections on the Chart

ArrayBinary Indexed TreeGeometry+1

Acceptance: 45.5%

#3013Hard

Divide an Array Into Subarrays With Minimum Cost II

ArrayHash TableHeap (Priority Queue)+1

Acceptance: 54.7%

#3017Hard

Count the Number of Houses at a Certain Distance II

GraphPrefix Sum

Acceptance: 23.7%

#3018Hard

Maximum Number of Removal Queries That Can Be Processed I

ArrayDynamic Programming

Acceptance: 44.8%

#3022Hard

Minimize OR of Remaining Elements Using Operations

ArrayBit ManipulationGreedy

Acceptance: 29.6%

#3027Hard

Find the Number of Ways to Place People II

ArrayEnumerationGeometry+2

Acceptance: 64.4%

#3031Hard

Minimum Time to Revert Word to Initial State II

Hash FunctionRolling HashString+1

Acceptance: 35.1%

#3036Hard

Number of Subarrays That Match a Pattern II

ArrayHash FunctionRolling Hash+1

Acceptance: 34.1%

#3037Hard

Find Pattern in Infinite Stream II

ArrayHash FunctionRolling Hash+2

Acceptance: 67.5%

#3041Hard

Maximize Consecutive Elements in an Array After Modification

ArrayDynamic ProgrammingSorting

Acceptance: 33.7%

#3045Hard

Count Prefix and Suffix Pairs II

ArrayHash FunctionRolling Hash+3

Acceptance: 28.2%

#3049Hard

Earliest Second to Mark Indices II

ArrayBinary SearchGreedy+1

Acceptance: 22.6%

#3052Hard

Maximize Items

Database

Acceptance: 72.0%

#3057Hard

Employees Project Allocation

Database

Acceptance: 68.4%

#3060Hard

User Activities within Time Bounds

Database

Acceptance: 40.6%

#3061Hard

Calculate Trapping Rain Water

Database

Acceptance: 81.1%

#3068Hard

Find the Maximum Sum of Node Values

ArrayBit ManipulationDynamic Programming+3

Acceptance: 69.5%

#3072Hard

Distribute Elements Into Two Arrays II

ArrayBinary Indexed TreeSegment Tree+1

Acceptance: 32.1%

#3077Hard

Maximum Strength of K Disjoint Subarrays

ArrayDynamic ProgrammingPrefix Sum

Acceptance: 28.2%

#3082Hard

Find the Sum of the Power of All Subsequences

ArrayDynamic Programming

Acceptance: 38.1%

#3086Hard

Minimum Moves to Pick K Ones

ArrayGreedyPrefix Sum+1

Acceptance: 21.6%

#3088Hard

Make String Anti-palindrome

Counting SortGreedySorting+1

Acceptance: 46.6%

#3093Hard

Longest Common Suffix Queries

ArrayStringTrie

Acceptance: 52.8%

#3098Hard

Find the Sum of Subsequence Powers

ArrayDynamic ProgrammingSorting

Acceptance: 25.1%

#3102Hard

Minimize Manhattan Distances

ArrayGeometryMath+2

Acceptance: 32.9%

#3103Hard

Find Trending Hashtags II

Database

Acceptance: 64.7%

#3104Hard

Find Longest Self-Contained Substring

Binary SearchHash TablePrefix Sum+1

Acceptance: 58.6%

#3108Hard

Minimum Cost Walk in Weighted Graph

ArrayBit ManipulationGraph+1

Acceptance: 68.3%

#3113Hard

Find the Number of Subarrays Where Boundary Elements Are Maximum

ArrayBinary SearchMonotonic Stack+1

Acceptance: 34.2%

#3116Hard

Kth Smallest Amount With Single Denomination Combination

ArrayBinary SearchBit Manipulation+3

Acceptance: 50.3%

#3117Hard

Minimum Sum of Values by Dividing Array

ArrayBinary SearchBit Manipulation+3

Acceptance: 27.9%

#3123Hard

Find Edges in Shortest Paths

Breadth-First SearchDepth-First SearchGraph+2

Acceptance: 47.0%

#3130Hard

Find All Possible Stable Binary Arrays II

Dynamic ProgrammingPrefix Sum

Acceptance: 58.4%

#3134Hard

Find the Median of the Uniqueness Array

ArrayBinary SearchHash Table+1

Acceptance: 30.0%

#3139Hard

Minimum Cost to Equalize Array

ArrayEnumerationGreedy

Acceptance: 18.8%

#3141Hard

Maximum Hamming Distances

ArrayBit ManipulationBreadth-First Search

Acceptance: 50.0%

#3145Hard

Find Products of Elements of Big Array

ArrayBinary SearchBit Manipulation

Acceptance: 24.4%

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Master DSA with Step-by-Step Solutions

Each solution article on FleetCode breaks down the problem into multiple approaches, from brute force to optimal, with detailed explanations and code in Python, Java, C++ and more. Understanding why an approach works - not just copying code - is what separates candidates who clear interviews from those who don't.

How to Use These Solutions

  • Try the problem first: Spend at least 20 minutes before reading the solution
  • Read all approaches: Start from brute force to understand the problem fully, then study the optimized solution
  • Understand the complexity: Pay attention to time and space analysis for each approach
  • Code it yourself: After understanding the approach, close the solution and implement from memory
  • Revisit after a week: Spaced repetition helps retain problem-solving patterns