What would be the Big O notation for this pseudocode and the total time cost? (I made it for a Binary Search Tree):  (SIDE NOTE: I have attached Big O notation table and vector pseudocode that I have done as an example. If you could put it in a table like I did for visualization that would be great. )    BINARY SEARCH TREE FUNCTIONS TO CREATE OBJECT AND NODE:  FUNCTION InsertCourse(Course courseData)                 IF (root is equal to NULLPTR)                                 SET root equals the new node courseData                                 SET left of root equal to NULLPTR                                 SET right of root equal to NULLPTR                 END IF                 ELSE                                 CALL AddNode (root, courseData)                 END ELSE END FUNCTION   //Function used to insert node and loaded course details (courseData) FUNCTION AddNode(Node* node, Course courseData) IF (node is larger than root value, add to left)                                 IF (no left node exists)                                                 SET node equal to courseData                                 END IF                                 ELSE                                                 RECURSE down the left node                                 END ELSE END IF ELSE                 IF (no right node exists)                                 SET node equal to courseData                 END IF                 ELSE                                 RECURSE down the right node                 END ELSE END ELSE                END FUNCTION

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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What would be the Big O notation for this pseudocode and the total time cost? (I made it for a Binary Search Tree): 

(SIDE NOTE: I have attached Big O notation table and vector pseudocode that I have done as an example. If you could put it in a table like I did for visualization that would be great. ) 

 

BINARY SEARCH TREE FUNCTIONS TO CREATE OBJECT AND NODE: 

FUNCTION InsertCourse(Course courseData)

                IF (root is equal to NULLPTR)

                                SET root equals the new node courseData

                                SET left of root equal to NULLPTR

                                SET right of root equal to NULLPTR

                END IF

                ELSE

                                CALL AddNode (root, courseData)

                END ELSE

END FUNCTION

 

//Function used to insert node and loaded course details (courseData)

FUNCTION AddNode(Node* node, Course courseData)

IF (node is larger than root value, add to left)

                                IF (no left node exists)

                                                SET node equal to courseData

                                END IF

                                ELSE

                                                RECURSE down the left node

                                END ELSE

END IF

ELSE

                IF (no right node exists)

                                SET node equal to courseData

                END IF

                ELSE

                                RECURSE down the right node

                END ELSE

END ELSE               

END FUNCTION

Code (Vector)
OPEN/ READ file
NUMBER of file lines read EQUALS N
VECTOR <COURSE> courseData (N)
FOR (int i = 0; i < N; increment i)
APPEND courseData[il.courseNumber
APPEND courseData[il.courseTitle
APPEND courseData[i] Prerequisites[]
Line Cost
1
1
1
1
1
1
1
# Times
Executes
n
1
1
1
1
n
Total Cost
Runtime
Total
Cost
n
1
1
n
1
1
n
3n + 4
O(n)
Transcribed Image Text:Code (Vector) OPEN/ READ file NUMBER of file lines read EQUALS N VECTOR <COURSE> courseData (N) FOR (int i = 0; i < N; increment i) APPEND courseData[il.courseNumber APPEND courseData[il.courseTitle APPEND courseData[i] Prerequisites[] Line Cost 1 1 1 1 1 1 1 # Times Executes n 1 1 1 1 n Total Cost Runtime Total Cost n 1 1 n 1 1 n 3n + 4 O(n)
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