Mapping Computer Science Problems to Real-World Scenarios: A Comprehensive Guide

Here’s a list with a few examples to get started. Please note that the real-world problems and the algorithms aren’t always a one-to-one match. Different real-world problems might use the same algorithm, and the same real-world problem could be solved using different algorithms depending on the specific use-case.

SequenceLeetcode NumberProblem NameReal World ProblemAlgorithm
1485Max Consecutive OnesFinding longest continuous stretch of a particular event (e.g., days of rain, streak of good sales)Sliding Window
221Merge Two Sorted ListsMerging two sorted lists of values (e.g., student grades, sales records)Merge Sort
3144Binary Tree Preorder TraversalInventory of goods stored in a hierarchical warehouseDepth First Search
494Binary Tree Inorder TraversalAlphabetical listing of employees in a company hierarchyDepth First Search
5148Sort ListOrganizing a list of customer orders by order numberMerge Sort
6977Squares of a Sorted ArrayRanking cities by the square of their populationSorting Algorithms
7283Move ZeroesRearranging a warehouse, placing lesser used items at the backTwo Pointers
8145Binary Tree Postorder TraversalChecking a hierarchical to-do list from bottom to topDepth First Search
9707Design Linked ListManaging the sequence of tasks in a projectLinked List Implementation
101089Duplicate ZerosUpdating a database with zero entriesTwo Pointers
11141Linked List CycleChecking for loops in a workflowTwo Pointers/Floyd’s Cycle Finding Algorithm
12102Binary Tree Level Order TraversalOrganizing an agenda according to hierarchical prioritiesBreadth First Search

Mapping Table

SequenceLeetcode NumberProblem NameReal World ProblemAlgorithm
1485Max Consecutive OnesFinding longest continuous quality control passesArray Traversal
221Merge Two Sorted ListsMerging two sorted patient listsMerge Sort
3144Binary Tree Preorder TraversalPrioritizing tasks in a projectDepth-First Search
494Binary Tree Inorder TraversalCataloguing books in a library systemDepth-First Search
5148Sort ListSorting a list of employees by IDMerge Sort
6977Squares of a Sorted ArraySorting cities by squares of populationSorting
7283Move ZeroesRearranging boxes in a warehouseTwo Pointers
8145Binary Tree Postorder TraversalDeallocating resources in a dependency orderDepth-First Search
9707Design Linked ListOrganizing a to-do listLinked List Design
101089Duplicate ZerosExpanding coded messagesArray Manipulation
11141Linked List CycleDetecting circular references in a documentTwo Pointers
12102Binary Tree Level Order TraversalManaging multi-level marketing structureBreadth-First Search
13104Maximum Depth of Binary TreeDetermining highest level of a business hierarchyDepth-First Search
14142Linked List Cycle IIDetecting repeat tasks in a project planTwo Pointers
1588Merge Sorted ArrayMerging two ordered lists of customersTwo Pointers
1675Sort ColorsSorting clothes by colorDutch National Flag Problem
17101Symmetric TreeChecking balance in a company’s organization structureDepth-First Search
18160Intersection of Two Linked ListsFinding common members in two different teamsTwo Pointers
1927Remove ElementRemoving discontinued products from a catalogTwo Pointers
2019Remove Nth Node From End of ListRemoving a particular item from a task listTwo Pointers
21112Path SumCalculating costs on a particular routeDepth-First Search
22250Count Univalue SubtreesCounting departments with the same performance ratingDepth-First Search
23206Reverse Linked ListReversing a sequence of eventsLinked List Manipulation
2426Remove Duplicates from Sorted ArrayRemoving duplicate records from a sorted listTwo Pointers
251346Check If N and Its Double ExistChecking if an employee’s salary is double another’sHash Table
26100Same TreeChecking if two organization charts are identicalDepth-First Search
2724Swap Nodes in PairsReordering tasks in pairsLinked List Manipulation
28941Valid Mountain ArrayChecking if sales figures form a peak patternArray Traversal
29589N-ary Tree Preorder TraversalPrioritizing tasks in a multi-dependent projectDepth-First Search
30

509 | Fibonacci Number | Predicting rabbit population growth | Dynamic Programming | | 31 | 70 | Climbing Stairs | Counting the ways to climb a staircase | Dynamic Programming | | 32 | 590 | N-ary Tree Postorder Traversal | Completing tasks in a multi-dependent project | Depth-First Search | | 33 | 1299 | Replace Elements with Greatest Element on Right Side | Reordering tasks based on priority | Array Traversal | | 34 | 905 | Sort Array By Parity | Organizing tasks based on type | Two Pointers | | 35 | 50 | Pow(x, n) | Computing an interest rate over time | Binary Search | | 36 | 429 | N-ary Tree Level Order Traversal | Managing a multi-level marketing structure | Breadth-First Search | | 37 | 344 | Reverse String | Reversing a sequence of events | Two Pointers | | 38 | 559 | Maximum Depth of N-ary Tree | Determining highest level of a complex organization | Depth-First Search | | 39 | 22 | Generate Parentheses | Generating valid sequence of operations | Depth-First Search | | 40 | 217 | Contains Duplicate | Checking for duplicate records in a list | Hash Table | | 41 | 431 | Encode N-ary Tree to Binary Tree | Reducing complexity of a project plan | Tree Manipulation | | 42 | 912 | Sort an Array | Sorting a list of items | Quick Sort | | 43 | 33 | Search in Rotated Sorted Array | Searching a cyclically ordered catalog | Binary Search | | 44 | 198 | House Robber | Planning a schedule to maximize profit | Dynamic Programming | | 45 | 700 | Search in a Binary Search Tree | Searching an organized record system | Binary Search | | 46 | 81 | Search in Rotated Sorted Array II | Searching a cyclically ordered catalog with duplicates | Binary Search | | 47 | 98 | Validate Binary Search Tree | Validating an ordered system | Depth-First Search | | 48 | 121 | Best Time to Buy and Sell Stock | Maximizing profit by buying and selling stocks | Dynamic Programming | | 49 | 876 | Middle of the Linked List | Finding the middle item in a list | Two Pointers | | 50 | 270 | Closest Binary Search Tree Value | Finding the closest price in a sorted list | Depth-First Search | | 51 | 153 | Find Minimum in Rotated Sorted Array | Finding the smallest number in a cyclically ordered set | Binary Search | | 52 | 252 | Meeting Rooms | Checking if meeting times overlap | Sorting and Sweep Line | | 53 | 704 | Binary Search | Searching a sorted list of items | Binary Search | | 54 | 83 | Remove Duplicates from Sorted List | Removing duplicate records from a sorted list | Two Pointers | | 55 | 203 | Remove Linked List Elements | Removing specific tasks from a project plan | Two Pointers | | 56 | 852 | Peak Index in a Mountain Array | Finding the peak sales period | Binary Search | | 57 | 637 | Average of Levels in Binary Tree | Averaging performance metrics across an organization | Breadth-First Search | | 58 | 234 | Palindrome Linked List | Checking if a sequence of events is the same forwards and backwards | Two Pointers | | 59 | 111 | Minimum Depth of Binary Tree | Determining the shortest chain of command | Breadth-First Search | | 60 | 162 | Find Peak Element | Finding peak sales period | Binary Search | | 61 | 543 | Diameter of

Binary Tree | Finding the longest communication route in an organization | Depth-First Search | | 62 | 844 | Backspace String Compare | Comparing two versions of a document with edits | Two Pointers | | 63 | 34 | Find First and Last Position of Element in Sorted Array | Locating a specific item in a list | Binary Search | | 64 | 1 | Two Sum | Finding two items that sum to a target price | Hash Table | | 65 | 226 | Invert Binary Tree | Reversing a hierarchy | Tree Traversal | | 66 | 572 | Subtree of Another Tree | Checking if a department exists in two different companies | Depth-First Search | | 67 | 54 | Spiral Matrix | Moving in a patterned sequence | Array Traversal | | 68 | 658 | Find K Closest Elements | Finding the nearest stores to a location | Binary Search | | 69 | 702 | Search in a Sorted Array of Unknown Size | Searching in an unbounded list | Binary Search | | 70 | 235 | Lowest Common Ancestor of a Binary Search Tree | Finding common manager for two employees | Depth-First Search | | 71 | 48 | Rotate Image | Rotating a display image | Array Manipulation | | 72 | 349 | Intersection of Two Arrays | Finding common elements in two lists | Hash Table | | 73 | 79 | Word Search | Searching for a word in a grid of letters | Depth-First Search | | 74 | 617 | Merge Two Binary Trees | Merging two sets of records | Depth-First Search | | 75 | 78 | Subsets | Generating all combinations of a set of items | Backtracking | | 76 | 46 | Permutations | Generating all possible orders of tasks | Backtracking | | 77 | 167 | Two Sum II - Input array is sorted | Finding two items that sum to a target in a sorted list | Two Pointers | | 78 | 287 | Find the Duplicate Number | Finding a duplicate record in a list | Two Pointers | | 79 | 77 | Combinations | Generating all combinations of teams from a set of employees | Backtracking | | 80 | 39 | Combination Sum | Finding combinations of items that total a target cost | Backtracking | | 81 | 4 | Median of Two Sorted Arrays | Finding the median of combined records | Binary Search | | 82 | 494 | Target Sum | Finding combinations of items that total a target cost with restrictions | Dynamic Programming | | 83 | 442 | Find All Duplicates in an Array | Finding duplicate records in a list | Array Traversal | | 84 | 1065 | Index Pairs of a String | Finding positions of words in a document | Hash Table | | 85 | 73 | Set Matrix Zeroes | Removing all instances of a product from a matrix of orders | Array Traversal | | 86 | 448 | Find All Numbers Disappeared in an Array | Finding missing items in a list | Array Traversal | | 87 | 238 | Product of Array Except Self | Calculating product totals without self | Array Manipulation | | 88 | 131 | Palindrome Partitioning | Dividing a word into palindrome sections | Dynamic Programming | | 89 | 17 | Letter Combinations of a Phone Number | Generating all word combinations from a phone number | Backtracking | | 90 | 169 | Majority Element | Finding most common item in a list | Boyer-Moore Voting Algorithm | | 91 | 322 | Coin Change | Finding the fewest coins that make a certain value | Dynamic Programming | | 92 | 320

| Generalized Abbreviation | Creating all possible abbreviations for a word | Backtracking | | 93 | 20 | Valid Parentheses | Checking if brackets in a document are balanced | Stack | | 94 | 51 | N-Queens | Organizing tasks so none conflict | Backtracking | | 95 | 236 | Lowest Common Ancestor of a Binary Tree | Finding common manager for two employees in a company | Depth-First Search | | 96 | 283 | Move Zeroes | Rearranging boxes in a warehouse | Two Pointers | | 97 | 89 | Gray Code | Generating a gray code sequence | Bit Manipulation | | 98 | 200 | Number of Islands | Counting separate groups in an organization | Depth-First Search | | 99 | 15 | 3Sum | Finding three items that sum to a target price | Two Pointers | | 100 | 42 | Trapping Rain Water | Calculating the maximum amount of water trapped | Two Pointers |

Note: These are broad examples and the real-world applications of these algorithms may vary based on specific use cases. The same real-world problem could be solved using different algorithms or data structures, and the same algorithm could be used to solve different real-world problems.

Here is the same table for more problems:

Problem NameReal World ProblemAlgorithm
Palindromic SubstringsChecking for reversible words in a documentDynamic Programming
Number of Longest Increasing SubsequenceFinding longest sequence of progress in life eventsDynamic Programming
Partition Equal Subset SumDistributing tasks equally among workersDynamic Programming
Number of IslandsIdentifying separated land masses on a mapDepth-First Search
Pacific Atlantic Water FlowDetermining water flow in geographical terrainsDepth-First Search
Clone GraphCopying social network connectionsBreadth-First Search/Depth-First Search
Reorder ListArranging documents in a particular orderTwo Pointers
Sort ListArranging items in an inventoryMerge Sort
Remove Nth Node From End of ListRemoving a particular item from a listTwo Pointers
Add Two NumbersPerforming large number arithmeticLinked List
Best Time to Buy and Sell Stock with CooldownOptimizing stock trading with cooldownsDynamic Programming
Odd Even Linked ListOrganizing a list into odd and even indicesTwo Pointers
Swap Nodes in PairsPairing and swapping items in a listLinked List
Rotate ListRotating items in a listTwo Pointers
Number of Connected Components in an Undirected GraphCounting groups in a social networkDepth-First Search/Breadth-First Search
Graph Valid TreeChecking if a network can be organized as a treeDepth-First Search
Task SchedulerScheduling tasks with cooldownsHeap/Priority Queue
Non-overlapping IntervalsScheduling meetings in different roomsGreedy Algorithm
Interval List IntersectionsFinding overlaps in schedulesTwo Pointers
Merge IntervalsMerging overlapping time intervalsSorting
Find K Pairs with Smallest SumsFinding most compatible pairs in two groupsHeap
Kth Smallest Element in a Sorted MatrixFinding a rank in a competitionBinary Search
Find K Closest ElementsFinding closest locations to a pointBinary Search
Search a 2D Matrix IISearching a databaseBinary Search
Search a 2D MatrixSearching a databaseBinary Search
Search in Rotated Sorted Array IISearching for an item in a shifted databaseBinary Search
Search in Rotated Sorted ArraySearching for an item in a shifted databaseBinary Search
Find Peak ElementFinding a local maximum in a graphBinary Search
Find Minimum in Rotated Sorted ArrayFinding a local minimum in a shifted graphBinary Search
Minimum Number of Arrows to Burst BalloonsStrategizing in a balloon shooting gameGreedy Algorithm
Minimum Height TreesFinding the minimum height trees in a forestBreadth-First Search
Course Schedule IIScheduling university coursesDepth-First Search
Course ScheduleChecking if a university course schedule is possibleDepth-First Search
Reorganize StringArranging characters in a way to avoid repetitionHeap
Kth Largest Element in an ArrayFinding a rank in a competitionHeap
Sort Characters By FrequencyCounting character frequency in a documentHeap
Top K Frequent ElementsIdentifying the most frequent items in a databaseHeap
K Closest Points to OriginFinding the nearest locations to a pointHeap
Kth Smallest Element in a BSTFinding a rank in a competitionBinary Search Tree
Longest Repeating Character ReplacementModifying a document to create long repeated character stringsTwo Pointers
Permutation in StringChecking if a document contains any anagram of a wordTwo Pointers
Fruit Into BasketsOptimizing collection of different types of itemsTwo Pointers
Minimum Size Subarray SumMinimizing a window to meet a certain criteriaTwo Pointers
3SumFinding triplets in a set that add up to a certain numberTwo Pointers
Implement Trie (Prefix Tree)Autocompleting a search queryTrie
3Sum ClosestFinding triplets closest to a target sumTwo Pointers
Validate Binary Search TreeChecking if a book index follows a binary search tree propertyDepth-First Search
Construct Binary Tree from Preorder and Inorder TraversalConstructing a family tree given certain propertiesDepth-First Search
Maximum Width of Binary TreeFinding the maximum width of a hierarchyDepth-First Search
Maximum Binary TreeConstructing a hierarchy with maximum propertyDepth-First Search
Path Sum IIIFinding all the paths in a financial tree that sum to a certain amountDepth-First Search
Path Sum IIFinding all the paths in a project tree that sum to a certain amountDepth-First Search
All Nodes Distance K in Binary TreeFinding all nodes at a certain distance in a networkBreadth-First Search
Binary Tree Right Side ViewViewing a hierarchy from a certain angleDepth-First Search
Populating Next Right Pointers in Each Node IILinking elements in a hierarchyBreadth-First Search
Populating Next Right Pointers in Each NodeLinking elements in a hierarchyBreadth-First Search
Binary Tree Zigzag Level Order TraversalTraversing a hierarchy in a zigzag patternBreadth-First Search
Longest Substring Without Repeating CharactersFinding the longest unique section in a documentSliding Window
Sliding Window MaximumFinding the maximum in each window of a listDeque
Count of Range SumCounting the number of sums in a rangeMerge Sort
Graph Valid TreeChecking if a network can be organized as a treeDepth-First Search
Meeting Rooms IIScheduling meeting roomsHeap
Insert IntervalInserting an interval in a scheduleSorting
Container With Most WaterMaximizing water storage between pointsTwo Pointers
Trapping Rain WaterCalculating rainwater trapped between buildingsTwo Pointers
Sequence ReconstructionChecking if a sequence can be reconstructed from subsequencesTopological Sort
Alien DictionaryConstructing a dictionary from alien wordsTopological Sort

Real World Applications

Here’s the table for the problems along with a column for real-world applications:

Problem NameReal World ProblemAlgorithmReal World Application/Product
N-QueensPositioning multiple servers to avoid interferenceBacktrackingGPS positioning systems
Smallest Range Covering Elements from K ListsFinding a minimal range in different measurementsHeapClimate change analysis
Merge k Sorted ListsMerging multiple sorted datasetsHeapDatabase management systems
Reverse Nodes in k-GroupReversing sections of a listLinked ListData manipulation in Excel
Sudoku SolverSolving a Sudoku gameBacktrackingSudoku apps
Longest Consecutive SequenceFinding the longest streak in dataHashingActivity trackers like Fitbit
First Missing PositiveFinding missing information in dataArray manipulationDatabase management
Maximum XOR of Two Numbers in an ArrayFinding the maximum XOR operation resultTrieData encryption
Sort ColorsSorting data by categoriesTwo PointersInventory management systems
Subarray Product Less Than KFinding product sections within a limitTwo PointersInventory forecasting
Substring with Concatenation of All WordsFinding all words in a documentSliding WindowSearch engines like Google
Minimum Window SubstringFinding the smallest relevant section in a documentSliding WindowText Editors
Count Unique Characters of All Substrings of a Given StringCounting unique substringsSliding WindowData compression software
Minimum Number of K Consecutive Bit FlipsManipulating bit dataSliding WindowNetwork protocol design
Employee Free TimeFinding free time in employee schedulesHeapHR software like Workday
Smallest Range Covering Elements from K ListsFinding a minimal range in different measurementsHeapClimate change analysis
Median of Two Sorted ArraysFinding the median from multiple datasetsBinary SearchStatistics software
Sort Items by Groups Respecting DependenciesSorting tasks considering dependenciesTopological SortProject management tools like Asana
Word SquaresForming words in a gridTrie, BacktrackingCrossword puzzle generators
Design Search Autocomplete SystemAutocompleting a search queryTrie, HeapGoogle Search
Palindrome PairsFinding palindrome pairsTrie, HashingData analysis software
Prefix and Suffix SearchSearching for words with certain prefixes and suffixesTrieGoogle Search
Concatenated WordsFinding concatenated wordsDynamic ProgrammingNatural language processing tools
Sliding Window MedianFinding the median in a sliding windowSliding Window, HeapReal-time data analysis tools
Find Median from Data StreamFinding the median in a data streamHeapReal-time data analysis tools
Word Search IISearching for multiple words in a gridTrie, Depth-First SearchWord search game apps
Serialize and Deserialize Binary TreeStoring and retrieving tree structuresDepth-First SearchDatabase systems
Binary Tree Maximum Path SumFinding the maximum path sum in a treeDepth-First SearchNetwork routing algorithms
Maximum Frequency StackDesigning a stack with maximum frequency retrievalStack, HeapCache design
Course Schedule IIIScheduling tasks with deadlinesHeapProject management tools like Trello
Rearrange String k Distance ApartArranging tasks with minimum gapHeap, QueueCPU task scheduling
Substring with Concatenation of All WordsFinding all words in a documentSliding WindowSearch engines like Google
Sliding Window MaximumFinding the maximum

in each window of a list | Deque | Real-time data analysis tools | | Count of Range Sum | Counting the number of sums in a range | Merge Sort | Financial analysis software |

I can provide potential real-world applications or product scenarios where these problems might be relevant:

  1. First Bad Version (278)

    • Problem Category: Binary Search
    • Real World Problem: Identifying the point of failure in a sequence of system versions.
    • Algorithm: Binary Search
    • Application: Software versioning systems in companies like Microsoft, Apple, etc. where it’s crucial to identify the exact version where a bug was introduced.
  2. Pascal’s Triangle II (119)

    • Problem Category: Dynamic Programming
    • Real World Problem: Calculating the specific row of mathematical structure Pascal’s Triangle.
    • Algorithm: Dynamic Programming
    • Application: In mathematical software or tools (like Mathematica, MATLAB) where computation of combinatorial mathematics is needed.
  3. Valid Perfect Square (367)

    • Problem Category: Binary Search
    • Real World Problem: Checking if a given number is a perfect square.
    • Algorithm: Binary Search
    • Application: In geometry-based software tools or mathematical modeling software where calculations involving squares and roots are frequently required.
  4. Find Smallest Letter Greater Than Target (744)

    • Problem Category: Binary Search
    • Real World Problem: Searching for the next larger element in a cyclically sorted list.
    • Algorithm: Binary Search
    • Application: In text-editing or word-processing software (like Microsoft Word, Google Docs), such a feature might be used for providing suggestions or autocompletions.
  5. Find K-th Smallest Pair Distance (719)

    • Problem Category: Binary Search, Sliding Window
    • Real World Problem: Finding the k-th smallest distance among all possible pair distances in a list.
    • Algorithm: Binary Search and Sliding Window
    • Application: In geographic information systems (GIS) or navigation applications (like Google Maps), this problem could relate to finding the k-th shortest distance between pairs of locations.
  6. Split Array Largest Sum (410)

    • Problem Category: Binary Search, Dynamic Programming
    • Real World Problem: Dividing an array into sections to minimize the largest sum of any section.
    • Algorithm: Binary Search and Dynamic Programming
    • Application: This type of problem might come up in resource allocation in cloud services (like Amazon AWS, Google Cloud) where workloads need to be evenly distributed across different servers to prevent overloading any particular one.