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Data Structures and Algorithms Cheat Sheet by burcuco - Cheatography.com. …
Sorting algorithms Cheat Sh…
Merge sort. function merge_sort(list m) // Base case. A list of zero or one …
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Algorithms. Steps performed to accomplish the specified task. Big O Notation. Time …
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A[j+ 1] ← x. end if end function. Merge sort. function merge_sort(list m) // Base case. …
See results only from cheatography.comAlgorithms and Data Structures Cheatsheet - Princeton University
- Reflexivity: f(n) is O(f(n)).
- Constants: If f(n) is O(g(n)) and c>0,then c⋅f(n) is O(g(n))).
- Products: If f1(n) is O(g1(n)) and f2(n) is O(g2(n))),then f1(n)⋅f2(n) is O(g1(n)⋅g2(n))).
- Sums: If f1(n) is O(g1(n)) and f2(n) is O(g2(n))),then f1(n)+f2(n) is O(max{g1(n),g2(n)}).
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WEBWe summarize the performance characteristics of classic algorithms and data structures for sorting, priority queues, symbol tables, and graph processing. We also summarize …
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WEBThis cheat sheet provides a summary of key concepts and techniques in algorithms and data structures, including big O notation, common data structures such as arrays, linked …
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WEBBig O time costs and core properties for dynamic arrays, linked lists, queues, stacks, hash tables, binary search trees, tries, heaps, priority queues, bloom filters, and LRU caches.
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