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The document provides an introduction to data structures. It defines data structures as representations of logical relationships between data elements that consider both the elements and their relationships. It classifies data structures as either primitive or non-primitive.
This is a collection of PowerPoint (pptx) slides ("pptx") presenting a course in algorithms and data structures. Associated with many of the topics are a collection of notes ("pdf"). Some presentations may be associated with videos ("V") and homework questions ("Q"), possibly with answers ("A").
6.006 Introduction to Algorithms, Lecture 2: Data Structures. Freely sharing knowledge with learners and educators around the world. Learn more. MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.
The document discusses abstract data types (ADTs) and several common data structures, including stacks, queues, linked lists, trees, and their applications. An ADT defines a data type and operations on that data type without specifying how those operations are implemented.
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The document provides an outline for a course on data structures and algorithms. It includes topics like data types and operations, time-space tradeoffs, algorithm development, asymptotic notations, common data structures, sorting and searching algorithms, and linked lists.
Data Structures A data structure is a way of organizing, storing, and performing operations on data Examples: array, list, stack, tree, heap, graph The choice of data structures used in a program (application) depends on both the type of data being stored and the operations the program may need to perform on that data e.g., array vs. (linked ...
A data structure is a scheme for organizing data in the memory of a computer. Some of the more commonly used data structures include lists, arrays, stacks, queues, heaps, trees, and graphs. Binary Tree.
Introduction to Data Structures. Definition • Data structure is representation of the logical relationship existing between individual elements of data. • In other words, a data structure is a way of organizing all data items that considers not only the elements stored but also their relationship to each other.
We consider two fundamental data types for storing collections of objects: the stack and the queue. We implement each using either a singly linked list or a resizing array. We introduce two advanced Java features—generics and iterators—that simplify client code.