Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues, linked lists, trees, heaps, priority queues, and hash tables, and their ...

data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, ...

Next, we introduce the heap data structure and the basic properties of heaps. This is followed by algorithms for insertion, deletion and finding the minimum element of a heap along with their time ...

A priority queue assigns a priority to each element. Knowing how to build them is important in solving many coding problems. A priority queue is a data structure that holds information that has some ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

A priority queue is a data structure that holds information that has some sort of priority value. When an item is removed from a priority queue, it's always the item with the highest priority.