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Elementary Data Structures

Elementary Data Structures

Elementary Data Structures. Stacks, Queues, Lists, Vectors, Sequences, Trees, Priority Queues, Heaps, Dictionaries & Hash Tables. The Stack ADT stores arbitrary objects Insertions and deletions follow the last-in first-out scheme Think of a spring-loaded plate dispenser

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619 views • 45 slides
ADT for Map:

ADT for Map:

Map stores elements (entries) so that they can be located quickly using keys. Each element (entry) is a key-value pair (k, v), where k is the key and v can be any object to store additional information. Each key is unique. (different entries have different keys.)

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484 views • 31 slides
Binary Search Trees

Binary Search Trees

Binary Search Trees. 6. <. 2. 9. >. =. 8. 1. 4. Ordered Maps. Keys are assumed to come from a total order. Items are stored in order by their keys This allows us to support nearest neighbor queries: Item with largest key less than or equal to k

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175 views • 17 slides
Binary Search Trees

Binary Search Trees

Binary Search Trees. 6. <. 2. 9. >. =. 8. 1. 4. Ordered Maps. Keys are assumed to come from a total order. New operations: firstEntry (): entry with smallest key value null lastEntry (): entry with largest key value floorEntry (k):entry with largest key ? k

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107 views • 10 slides
Binary Search Trees

Binary Search Trees

Binary Search Trees. 6. <. 2. 9. >. =. 8. 1. 4. A binary search tree is a binary tree storing keys (or key-element pairs) at its internal nodes and satisfying the following property:

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75 views • 7 slides
Binary Search Trees

Binary Search Trees

Binary Search Trees. 6. <. 2. 9. >. =. 8. 1. 4. A binary search tree is a binary tree storing keys (or key-element pairs) at its internal nodes and satisfying the following property:

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73 views • 7 slides

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