The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

Basic data structures: Heaps, and Binary Search Trees. Algorithm Design Approaches: Divide and Conquer including analysis using recurrences Greedy Algorithms Dynamic Programming Algorithms Algorithms ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

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 ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

Now everyone—from urban planners and environmental scientists to homeowners—can access a new algorithm ... enough input data to extract high-detail information. The generated tree models ...

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 ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...