CPS120: Introduction to Computer Science Nell Dale John Lewis Abstract Data Types.

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Presentation transcript:

CPS120: Introduction to Computer Science Nell Dale John Lewis Abstract Data Types

Abstract data type: a data type whose properties (data and operations) are specified independently of any particular implementation The goal in design is to reduce complexity through abstraction

Abstract Data Types Data structures: the implementation of a composite data fields in an abstract data type –Containers in which data items are stored

Linked Implementation Linked implementation: based on the concept of a node A node is made up of two pieces of data: the item that the user wants in the list and a pointer to the next node in the list

Linked Implementation A linked list

Linked Implementation An unsorted linked list

Linked Implementation A sorted linked list

Linked Implementation Store a node with info of 67 after current

Linked Implementation Remove node next(current)

Stacks A stack is an abstract data type in which accesses are made at only one end –LIFO, which stands for Last In First Out –The insert is called Push and the delete is called Pop

Queues Queue is an abstract data type in which items are entered at one end and removed from the other end –FIFO, for First In First Out –Like a waiting line in a bank or supermarket –No standard queue terminology Insert is used for the insertion operation Remove is used for the deletion operation.

Trees ADTs such as lists, stacks, and queues are linear in nature More complex relationships require more complex structures

Trees Hierarchical structures are called trees Binary trees –Each node has no more than two children –The beginning of the tree is a unique starting node called the root –If a node in the tree has no children, it is called a leaf node A binary tree

Binary Search Trees A binary search tree has the shape property of a binary tree

Binary Search Tree The value in any node is greater than the value in any node in its left subtree and less than the value in any node in its right subtree