Introduction to computing - Programming

A binary search tree is a binary tree that has the following characteristics Each node has a distinct value Values of all the nodes of the left subtree of a node are smaller than the node’s value Values of all the nodes of the right subtree of a node are greater than the node’s value

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1Introduction to Computing Lectured by: Dr. Pham Tran Vu t.v.pham@cse.hcmut.edu.vn 2Programming - Programming languages - Program design, testing, debugging and documenting - Data structures 3Content  Arrays  Stack  Queue  Circular queue  Linked list  Binary tree 4Data Structures  Essential for any computer programmer  A data structure is essentially a number of data items, with some relationships among them  Each item occupies one or more memory location 5Arrays  Supported by all high-level programming languages, such as Pascal, C/C++, Java, etc  Data is manipulated in tabular fashion  Programmers only need to declare the array name, size and dimension, the language processor will allocate memory for the array  An array can be declared as one-dimension, two dimension, and so on 6One-Dimension Arrays  Allocating one-dimension array in memory b+3 b+2 b+1 b ContentAddress Memory 3 2 1 0 ContentSubscript Array 7Two-Dimension Arrays  Memory addressing is one-dimension  Need a translate of subscripting to mapping two-dimension array addressing into memory address 8Two-Dimension Arrays (2) 8 7 6 5 4 3 2 1 0 4 53210j \ k A[1][3] j = 1 k = 3 9Two-Dimension Arrays  Storage of two-dimension array in memory  Translation formula: M = b + j*N + k  N: array size  M: memory location of element A[j][k]  b: starting memory address of the array 111111000000j 543210543210k +11+10+9+8+7+6+5+4+3+2+1b 10 Stacks  Characterised by Last In First Out (LIFO)  Items are added or removed from a stack is done at only one end  Two basic operations:  Push: store an item into the stack  Pop: get an item out of the stack 11 Stacks (2)  A stack of size 5  Currently store 4 item  Current stack pointer value is 4  A stack can be implemented using a one-dimension array10 16 15 8Stack pointer push pop 1 2 3 4 5 12 Stack push operation If sp < maximum stack size Then increase sp by 1 S(sp) = item Else stack overflow End if  S: the stack  sp: the stack pointer 13 Stack pop operation If sp > 0 Then item = S(sp) Sp = sp - 1 Else stack underflow End if 14 Queues  Characterised by First In First Out FIFO  Similar to our every queues  In a queue, data item is added to one end, and is remove at the other end of the queue FEGCA 1211109876543210 Head Tail out in 15 Queue Implementation Using One- Dimension Array  Implementation of a queue using array of 13 elements  To add an item, the Tail is increased by 1  To remove an item the Head is increased by 1  The queue is full when Tail equals 12  The queue is empty when Head equals Tail FEGCA 1211109876543210 Head Tail 16 Circular Queues  The disadvantage of the implementation discussed is that the queue will be definitely full after some usage, although the number of items in the queue is still smaller than the size of the queue  A circular buffer implementation can be used to solve this problem 17 Circular Queues (2) head tail 18 Array Implementation of Circular Buffer FEGC 1211109876543210 Head Tail KFGEDMOGF 1211109876543210 Head Tail KFGEDMOGFR 1211109876543210 HeadTail 19 Linked Lists  Give the array contains order list of names  How to add in Crawford, while the alphabetical order of the list is still maintained? 7 6 Eastman5 Dunfy4 Craddock3 Bateman2 Abelson1 Aaron0 DataElement 20 Linked Lists (2)  In a linked list, an element has a pointer to the element follows it Aaron Abelson Bateman Craddock Dunfy Eastman Head Null Crawford 21 Linked List Operations  Add an element  Delete an element  Insert an element 22 Add an Element to the End of the List Aaron Abelson Bateman Craddock Dunfy Eastman Head NullGregory  Add Gregory to the end of the list 23 Delete an Element Aaron Abelson Craddock Dunfy EastmanBateman Head Null  Delete Bateman from the list 24 Trees Chemical Engineering Computer Science and Engineering Industrial Management System & Networking Computer Science University of Technology Construction Engineering Computer Engineering Information Systems Software Engineering  In a tree data structure, data elements are organised in a tree like structure 25 Tree Data Structure Concepts  A parent node: the node that has pointer(s) to other node(s)  A child node: the one that is pointed to a parent node  Root: the node of the tree that has no parent  Leaf node: the node that has no child  A node in a tree can’t have more than one parent 26 Binary Tree  In a binary tree, each node can has at most two children 27 Binary Search Trees  A binary search tree is a binary tree that has the following characteristics  Each node has a distinct value  Values of all the nodes of the left subtree of a node are smaller than the node’s value  Values of all the nodes of the right subtree of a node are greater than the node’s value 28 Binary Search Trees (2) 5 3 641 2 9 7 8 11

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