This cheat sheet provides essential Swift code templates and explanations for a variety of fundamental and advanced algorithmic problems. It is designed as a quick reference to help you solve common algorithm challenges efficiently in Swift.
- Arrays & Strings: Covers common techniques like sliding window, two-pointer approaches, sorting algorithms, prefix sums, and array/string traversal strategies.
- Linked Lists: Includes implementations for efficient linked list manipulation, cycle detection, merging sorted lists, and in-place modifications.
- Hash Tables: Shows how to leverage hash tables for quick data retrieval and includes implementations of popular caching mechanisms like LRU.
- Recursion & Dynamic Programming: Demonstrates recursive problem-solving techniques, memoization, and dynamic programming patterns that optimize performance.
- Sorting Algorithms: Provides templates for sorting, including binary search, quicksort, mergesort, and counting sort.
- Matrix Operations: Explores common operations such as creating, transposing, and traversing matrices for grid-based problems.
- Tree Traversals: Covers in-order, pre-order, post-order, and level-order traversal techniques for binary trees and general trees.
- Graph Theory: Contains templates for representing graphs, performing depth-first and breadth-first search, as well as advanced algorithms like Dijkstra’s for shortest paths and topological sorting.
- Advanced Data Structures: Introduces the Trie data structure for prefix trees, disjoint sets for union-find operations, and heap structures for managing priority queues.
- Popular Algorithms: Includes efficient solutions to well-known problems such as Kadane's Algorithm for maximum subarrays, sliding window techniques for optimal subsequence finding, and the monotonic stack for handling specific sequence problems.
Each section provides Swift-based templates, structured to help you solve algorithm problems in coding interviews and real-world applications. Simply locate the relevant algorithm category and copy the template that best fits your problem requirements.
This cheat sheet is based on best practices and common patterns in algorithmic problem-solving, providing you with a quick, reliable reference for Swift programming challenges.