09 STACK APPLICATION DATA STRUCTURES AND ALGORITHMS REVERSE POLISH NOTATION

Size: px
Start display at page:

Download "09 STACK APPLICATION DATA STRUCTURES AND ALGORITHMS REVERSE POLISH NOTATION"

Transcription

1 DATA STRUCTURES AND ALGORITHMS 09 STACK APPLICATION REVERSE POLISH NOTATION IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD LECTURES ADAPTED FROM: DANIEL KANE, NEIL RHODES DEPARTMENT OF CS & ENGINEERING UNIVERSITY OF CALIFORNIA, SAN DIEGO

2 ALGEBRAIC EXPRESSION X + Y * Z An algebraic expression is a legal combination of operands and the operators. Operand is the quantity (unit of data) on which a mathematical operation is performed. Operand may be a variable like x, y, z or a constant like 5, 4,0,9,1 etc. Operator is a symbol which signifies a mathematical or logical operation between the operands. Example of familiar operators include +,-,*, /, ^ Considering these definitions of operands and operators now we can write an example of expression as x+y*z. Infix, Postfix and Prefix notations are three different but equivalent ways of writing expressions. It is easiest to demonstrate the differences by looking at examples of operators that take two operands. 2

3 INFIX NOTATION X + Y Operators are written in-between their operands. This is the usual way we write expressions. An expression such as A * ( B + C ) / D is usually taken to mean something like: "First add B and C together, then multiply the result by A, then divide by D to give the final answer. Infix notation needs extra information to make the order of evaluation of the operators clear: rules built into the language about operator precedence and associativity, and brackets ( ) to allow users to override these rules. For example, the usual rules for associativity say that we perform operations from left to right, so the multiplication by A is assumed to come before the division by D. Similarly, the usual rules for precedence say that we perform multiplication and division before we perform addition and subtraction. 3

4 POSTFIX NOTATION X Y + Also known as "Reverse Polish notation Operators are written after their operands. The infix expression given above is equivalent to A B C + * D / The order of evaluation of operators is always left-to-right, and brackets cannot be used to change this order. Because the "+" is to the left of the "*" in the example above, the addition must be performed before the multiplication. Operators act on values immediately to the left of them. For example, the "+" above uses the "B" and "C". We can add (totally unnecessary) brackets to make this explicit: ( (A (B C +) *) D /) Thus, the "*" uses the two values immediately preceding: "A", and the result of the addition. Similarly, the "/" uses the result of the multiplication and the "D". 4

5 PREFIX NOTATION + X Y Also known as "Polish notation Operators are written before their operands. The expressions given above are equivalent to / * A + B C D to make this clear: (/ (* A (+ B C) ) D) 5

6 OPERATOR PRIORITIES TIE BREAKER, DELIMITERS How do you figure out the operands of an operator? a + b * c a * b + c / d This is done by assigning operator priorities. priority(*) = priority(/) > priority(+) = priority(-) When an operand lies between two operators, the operand associates with the operator that has higher priority. Tie Breaker When an operand lies between two operators that have the same priority, the operand associates with the operator on the left. a + b - c a * b / c / d Delimiters Sub-expression within delimiters is treated as a single operand, independent from the remainder of the expression. (a + b) * (c d) / (e f) 6

7 WHY POSTFIX? INFIX EXPRESSION IS HARD TO PARSE Why to use these weird looking PREFIX and POSTFIX notations when we have simple INFIX notation? To our surprise INFIX notations are not as simple as they seem specially while evaluating them. To evaluate an infix expression we need to consider Operators Priority and Associative property For example expression 3+5*4 evaluate to 32 i.e. (3+5)*4 or to 23 i.e. 3+(5*4). To solve this problem Precedence or Priority of the operators were defined. Operator precedence governs evaluation order. An operator with higher precedence is applied before an operator with lower precedence. Need operator priorities, tie breaker, and delimiters. This makes computer evaluation more difficult than is necessary. Postfix and prefix expression forms do not rely on operator priorities, a tie breaker, or delimiters. So it is easier to evaluate expressions that are in these forms. 7

8 INFIX TO POSTFIX (RPN) ALGORITHM 1. Examine the next element in the input. 2. If it is operand, output it. 3. If it is opening parenthesis, push it on stack. 4. If it is an operator, then 1. If stack is empty, push operator on stack. 2. If the top of stack is opening parenthesis, push operator on stack 3. If it has higher priority than the top of stack, push operator on stack. 4. Else pop the operator from the stack and output it, repeat step 4 5. If it is a closing parenthesis, pop operators from stack and output them until an opening parenthesis is encountered. pop and discard the opening parenthesis. 6. If there is more input go to step 1 7. If there is no more input, pop the remaining operators to output. 8

9 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 1: Stack is empty and we only have the Infix Expression. Infix Notation A * (B + C) D / E Postfix Notation STACK NULL 9

10 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 2: First token is Operand A and is Appended to Output as it is. Infix Notation * (B + C) D / E NULL Postfix Notation A STACK 10

11 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 3: Next token is * and it is pushed into the Stack Infix Notation (B + C) D / E NULL * Postfix Notation A STACK 11

12 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 4: Next token is ( and it is pushed into the Stack as well Infix Notation B + C) D / E NULL ( * Postfix Notation A STACK 12

13 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 5: Next token is B and will go to output expression as it is Infix Notation + C) D / E NULL ( * Postfix Notation A B STACK 13

14 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 6: Next token is + and is pushed in stack. NULL + ( * Infix Notation C ) D / E Postfix Notation A B STACK 14

15 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 7: Next token is C and is appended to output NULL + ( * Infix Notation ) D / E Postfix Notation A B C STACK 15

16 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 8: Next token is ) pop all elements and append to output Infix Notation D / E NULL * Postfix Notation A B C + STACK 16

17 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 9: Next token is -. Precedence of * is high. So Pop * and Push - Infix Notation D / E NULL - Postfix Notation A B C + * STACK 17

18 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 10: Next token is D. Append to Output Infix Notation / E NULL - Postfix Notation A B C+ * D STACK 18

19 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 11: Next token is /. Precedence of / is high, so Push / in stack. Infix Notation E NULL / - Postfix Notation A B C + * D STACK 19

20 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 12: Last token is E. Append to Output Infix Notation NULL / - Postfix Notation A B C + * D E STACK 20

21 EXAMPLE INFIX TO POSTFIX Let the incoming the Infix expression be: A * (B + C) D / E Stage 13: Input Expression Complete. Pop all to complete Postfix Infix Notation NULL Postfix Notation A B C + * D E / - STACK 21

22 RPN USING STACK REVERSE-POLISH NOTATION The easiest way to parse reverse-polish notation is to use an operand stack: operands are processed by pushing them onto the stack when processing an operator: pop the last two items off the operand stack, perform the operation, and push the result back onto the stack 22

23 RPN EXAMPLE REVERSE-POLISH NOTATION Evaluate the following reverse-polish expression using a stack:

24 RPN EXAMPLE REVERSE-POLISH NOTATION Push 1 onto the stack

25 RPN EXAMPLE REVERSE-POLISH NOTATION Push 2 onto the stack

26 RPN EXAMPLE REVERSE-POLISH NOTATION Push 3 onto the stack

27 RPN EXAMPLE REVERSE-POLISH NOTATION Pop 3 and 2 and push onto the stack

28 RPN EXAMPLE REVERSE-POLISH NOTATION Push 4 onto the stack

29 RPN EXAMPLE REVERSE-POLISH NOTATION Push 5 onto the stack

30 RPN EXAMPLE REVERSE-POLISH NOTATION Push 6 onto the stack

31 RPN EXAMPLE REVERSE-POLISH NOTATION Pop 6 and 5 and Push 5 x 6 onto the stack

32 RPN EXAMPLE REVERSE-POLISH NOTATION Pop 30 and 4 and Push 4-30 onto the stack

33 RPN EXAMPLE REVERSE-POLISH NOTATION Push 7 onto the stack

34 RPN EXAMPLE REVERSE-POLISH NOTATION Pop 7 and -26 and Push -26 x 7 onto the stack

35 RPN EXAMPLE REVERSE-POLISH NOTATION Pop -182 and 5 and Push onto the stack

36 RPN EXAMPLE REVERSE-POLISH NOTATION Pop -117 and 1 and Push 1 ( 177 ) onto the stack

37 RPN EXAMPLE REVERSE-POLISH NOTATION Push 8 onto the stack

38 RPN EXAMPLE REVERSE-POLISH NOTATION Push 9 onto the stack

39 RPN EXAMPLE REVERSE-POLISH NOTATION Pop 9 and 8 and Push 8 x 9 onto the stack

40 RPN EXAMPLE REVERSE-POLISH NOTATION Pop 72 and 178 and Push onto the stack

41 RPN REVERSE-POLISH NOTATION Thus evaluates to the value on the top: 250 The equivalent in-fix notation is ((1 ((2 + 3) + ((4 (5 6)) 7))) + (8 9)) We reduce the parentheses using order-of-operations: 1 ( (4 5 6) 7) Incidentally, = 132 which has the reverse-polish notation of

STACKS. A stack is defined in terms of its behavior. The common operations associated with a stack are as follows:

STACKS. A stack is defined in terms of its behavior. The common operations associated with a stack are as follows: STACKS A stack is a linear data structure for collection of items, with the restriction that items can be added one at a time and can only be removed in the reverse order in which they were added. The

More information

08 STACKS DATA STRUCTURES AND ALGORITHMS IMPLEMENTATION & APPLICATIONS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD

08 STACKS DATA STRUCTURES AND ALGORITHMS IMPLEMENTATION & APPLICATIONS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD DATA STRUCTURES AND ALGORITHMS 08 STACKS IMPLEMENTATION & APPLICATIONS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD WWW.IMRANIHSAN.COM LECTURES ADAPTED FROM: DANIEL KANE, NEIL RHODES DEPARTMENT

More information

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved Stacks Chapter 5 Contents Specifications of the ADT Stack Using a Stack to Process Algebraic Expressions A Problem Solved: Checking for Balanced Delimiters in an Infix Algebraic Expression A Problem Solved:

More information

Some Applications of Stack. Spring Semester 2007 Programming and Data Structure 1

Some Applications of Stack. Spring Semester 2007 Programming and Data Structure 1 Some Applications of Stack Spring Semester 2007 Programming and Data Structure 1 Arithmetic Expressions Polish Notation Spring Semester 2007 Programming and Data Structure 2 What is Polish Notation? Conventionally,

More information

Stack Applications. Lecture 27 Sections Robb T. Koether. Hampden-Sydney College. Wed, Mar 29, 2017

Stack Applications. Lecture 27 Sections Robb T. Koether. Hampden-Sydney College. Wed, Mar 29, 2017 Stack Applications Lecture 27 Sections 18.7-18.8 Robb T. Koether Hampden-Sydney College Wed, Mar 29, 2017 Robb T. Koether Hampden-Sydney College) Stack Applications Wed, Mar 29, 2017 1 / 27 1 Function

More information

Lecture 12 ADTs and Stacks

Lecture 12 ADTs and Stacks Lecture 12 ADTs and Stacks Modularity Divide the program into smaller parts Advantages Keeps the complexity managable Isolates errors (parts can be tested independently) Can replace parts easily Eliminates

More information

Formal Languages and Automata Theory, SS Project (due Week 14)

Formal Languages and Automata Theory, SS Project (due Week 14) Formal Languages and Automata Theory, SS 2018. Project (due Week 14) 1 Preliminaries The objective is to implement an algorithm for the evaluation of an arithmetic expression. As input, we have a string

More information

March 13/2003 Jayakanth Srinivasan,

March 13/2003 Jayakanth Srinivasan, Statement Effort MergeSort(A, lower_bound, upper_bound) begin T(n) if (lower_bound < upper_bound) Θ(1) mid = (lower_bound + upper_bound)/ 2 Θ(1) MergeSort(A, lower_bound, mid) T(n/2) MergeSort(A, mid+1,

More information

CS 206 Introduction to Computer Science II

CS 206 Introduction to Computer Science II CS 206 Introduction to Computer Science II 03 / 31 / 2017 Instructor: Michael Eckmann Today s Topics Questions? Comments? finish RadixSort implementation some applications of stack Priority Queues Michael

More information

13 BINARY TREES DATA STRUCTURES AND ALGORITHMS INORDER, PREORDER, POSTORDER TRAVERSALS

13 BINARY TREES DATA STRUCTURES AND ALGORITHMS INORDER, PREORDER, POSTORDER TRAVERSALS DATA STRUCTURES AND ALGORITHMS 13 BINARY TREES INORDER, PREORDER, POSTORDER TRAVERSALS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD WWW.IMRANIHSAN.COM LECTURES ADAPTED FROM: DANIEL KANE,

More information

Lab 7 1 Due Thu., 6 Apr. 2017

Lab 7 1 Due Thu., 6 Apr. 2017 Lab 7 1 Due Thu., 6 Apr. 2017 CMPSC 112 Introduction to Computer Science II (Spring 2017) Prof. John Wenskovitch http://cs.allegheny.edu/~jwenskovitch/teaching/cmpsc112 Lab 7 - Using Stacks to Create a

More information

Stack Applications. Lecture 25 Sections Robb T. Koether. Hampden-Sydney College. Mon, Mar 30, 2015

Stack Applications. Lecture 25 Sections Robb T. Koether. Hampden-Sydney College. Mon, Mar 30, 2015 Stack Applications Lecture 25 Sections 18.7-18.8 Robb T. Koether Hampden-Sydney College Mon, Mar 30, 2015 Robb T. Koether Hampden-Sydney College) Stack Applications Mon, Mar 30, 2015 1 / 34 1 The Triangle

More information

CS W3134: Data Structures in Java

CS W3134: Data Structures in Java CS W3134: Data Structures in Java Lecture #10: Stacks, queues, linked lists 10/7/04 Janak J Parekh HW#2 questions? Administrivia Finish queues Stack/queue example Agenda 1 Circular queue: miscellany Having

More information

STACKS AND QUEUES. Problem Solving with Computers-II

STACKS AND QUEUES. Problem Solving with Computers-II STACKS AND QUEUES Problem Solving with Computers-II 2 Stacks container class available in the C++ STL Container class that uses the Last In First Out (LIFO) principle Methods i. push() ii. iii. iv. pop()

More information

CS 171: Introduction to Computer Science II. Stacks. Li Xiong

CS 171: Introduction to Computer Science II. Stacks. Li Xiong CS 171: Introduction to Computer Science II Stacks Li Xiong Today Stacks operations and implementations Applications using stacks Application 1: Reverse a list of integers Application 2: Delimiter matching

More information

Stacks. Revised based on textbook author s notes.

Stacks. Revised based on textbook author s notes. Stacks Revised based on textbook author s notes. Stacks A restricted access container that stores a linear collection. Very common for solving problems in computer science. Provides a last-in first-out

More information

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved Stacks Chapter 5 Copyright 2012 by Pearson Education, Inc. All rights reserved Contents Specifications of the ADT Stack Using a Stack to Process Algebraic Expressions A Problem Solved: Checking for Balanced

More information

SimpleCalc. which can be entered into a TI calculator, like the one on the right, like this:

SimpleCalc. which can be entered into a TI calculator, like the one on the right, like this: !! SimpleCalc Objective: To use stacks to emulate a simple arithmetic calculator. Background: Most people learn to write arithmetic expressions like this: which can be entered into a TI calculator, like

More information

The Stack and Queue Types

The Stack and Queue Types The Stack and Queue Types Hartmut Kaiser hkaiser@cct.lsu.edu http://www.cct.lsu.edu/ hkaiser/fall_2012/csc1254.html 2 Programming Principle of the Day Do the simplest thing that could possibly work A good

More information

Stacks. stacks of dishes or trays in a cafeteria. Last In First Out discipline (LIFO)

Stacks. stacks of dishes or trays in a cafeteria. Last In First Out discipline (LIFO) Outline stacks stack ADT method signatures array stack implementation linked stack implementation stack applications infix, prefix, and postfix expressions 1 Stacks stacks of dishes or trays in a cafeteria

More information

CS2383 Programming Assignment 3

CS2383 Programming Assignment 3 CS2383 Programming Assignment 3 October 18, 2014 due: November 4 Due at the end of our class period. Due to the midterm and the holiday, the assignment will be accepted with a 10% penalty until the end

More information

Stack Abstract Data Type

Stack Abstract Data Type Stacks Chapter 5 Chapter Objectives To learn about the stack data type and how to use its four methods: push, pop, peek, and empty To understand how Java implements a stack To learn how to implement a

More information

Stack and Its Implementation

Stack and Its Implementation Stack and Its Implementation Tessema M. Mengistu Department of Computer Science Southern Illinois University Carbondale tessema.mengistu@siu.edu Room - 3131 1 Definition of Stack Usage of Stack Outline

More information

Assessment of Programming Skills of First Year CS Students: Problem Set

Assessment of Programming Skills of First Year CS Students: Problem Set Assessment of Programming Skills of First Year CS Students: Problem Set Notes to the working group participants. Enclosed in this file are the three problems. They are in ascending order of difficulty.

More information

BBM 201 DATA STRUCTURES

BBM 201 DATA STRUCTURES BBM 201 DATA STRUCTURES Lecture 6: EVALUATION of EXPRESSIONS 2018-2019 Fall Evaluation of Expressions Compilers use stacks for the arithmetic and logical expressions. Example: x=a/b-c+d*e-a*c If a=4, b=c=2,

More information

BBM 201 DATA STRUCTURES

BBM 201 DATA STRUCTURES BBM 201 DATA STRUCTURES Lecture 6: EVALUATION of EXPRESSIONS 2017 Fall Evaluation of Expressions Compilers use stacks for the arithmetic and logical expressions. Example: x=a/b-c+d*e-a*c If a=4, b=c=2,

More information

Introduction. Problem Solving on Computer. Data Structures (collection of data and relationships) Algorithms

Introduction. Problem Solving on Computer. Data Structures (collection of data and relationships) Algorithms Introduction Problem Solving on Computer Data Structures (collection of data and relationships) Algorithms 1 Objective of Data Structures Two Goals: 1) Identify and develop useful high-level data types

More information

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1 Data Structure using C++ Lecture 04 Reading Material Data Structures and algorithm analysis in C++ Chapter. 3 3.1, 3.2, 3.2.1 Summary Stack Operations on a stack Representing stacks Converting an expression

More information

-The Hacker's Dictionary. Friedrich L. Bauer German computer scientist who proposed "stack method of expression evaluation" in 1955.

-The Hacker's Dictionary. Friedrich L. Bauer German computer scientist who proposed stack method of expression evaluation in 1955. Topic 15 Implementing and Using "stack n. The set of things a person has to do in the future. "I haven't done it yet because every time I pop my stack something new gets pushed." If you are interrupted

More information

Prefix/Infix/Postfix Notation

Prefix/Infix/Postfix Notation Prefix/Infix/Postfix Notation One commonly writes arithmetic expressions, such as 3 + 4 * (5-2) in infix notation which means that the operator is placed in between the two operands. In this example, the

More information

Stacks II. Adventures in Notation. stacks2 1

Stacks II. Adventures in Notation. stacks2 1 Stacks II Adventures in Notation stacks2 1 The trouble with infix... Rules for expression evaluation seem simple -- evaluate expression left to right, results of each sub-expression becoming operands to

More information

Stacks (Section 2) By: Pramod Parajuli, Department of Computer Science, St. Xavier s College, Nepal.

Stacks (Section 2) By: Pramod Parajuli, Department of Computer Science, St. Xavier s College, Nepal. (Section 2) Linked list implementation of stack Typical Application of stacks Evaluation of expressions (infix, postfix, prefix) References and further details By: Pramod Parajuli, Department of Computer

More information

CSCI 204 Introduction to Computer Science II. Lab 6: Stack ADT

CSCI 204 Introduction to Computer Science II. Lab 6: Stack ADT CSCI 204 Introduction to Computer Science II 1. Objectives In this lab, you will practice the following: Learn about the Stack ADT Implement the Stack ADT using an array Lab 6: Stack ADT Use a Stack to

More information

F453 Module 7: Programming Techniques. 7.2: Methods for defining syntax

F453 Module 7: Programming Techniques. 7.2: Methods for defining syntax 7.2: Methods for defining syntax 2 What this module is about In this module we discuss: explain how functions, procedures and their related variables may be used to develop a program in a structured way,

More information

Stacks, Queues and Hierarchical Collections. 2501ICT Logan

Stacks, Queues and Hierarchical Collections. 2501ICT Logan Stacks, Queues and Hierarchical Collections 2501ICT Logan Contents Linked Data Structures Revisited Stacks Queues Trees Binary Trees Generic Trees Implementations 2 Queues and Stacks Queues and Stacks

More information

CISC-235. At this point we fnally turned our atention to a data structure: the stack

CISC-235. At this point we fnally turned our atention to a data structure: the stack CISC-235 20180918 At this point we fnally turned our atention to a data structure: the stack A stack is our frst example of an Abstract Data Type: we specify the operations we need to be able to perform

More information

CSE 214 Computer Science II Stack

CSE 214 Computer Science II Stack CSE 214 Computer Science II Stack Spring 2018 Stony Brook University Instructor: Shebuti Rayana shebuti.rayana@stonybrook.edu http://www3.cs.stonybrook.edu/~cse214/sec02/ Random and Sequential Access Random

More information

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1 Data Structure using C++ Lecture 04 Reading Material Data Structures and algorithm analysis in C++ Chapter. 3 3.1, 3.2, 3.2.1 Summary Infix to Postfix Example 1: Infix to Postfix Example 2: Postfix Evaluation

More information

Lecture 4 Stack and Queue

Lecture 4 Stack and Queue Lecture 4 Stack and Queue Bo Tang @ SUSTech, Spring 2018 Our Roadmap Stack Queue Stack vs. Queue 2 Stack A stack is a sequence in which: Items can be added and removed only at one end (the top) You can

More information

LECTURE 17 GRAPH TRAVERSALS

LECTURE 17 GRAPH TRAVERSALS DATA STRUCTURES AND ALGORITHMS LECTURE 17 GRAPH TRAVERSALS IMRAN IHSAN ASSISTANT PROFESSOR AIR UNIVERSITY, ISLAMABAD STRATEGIES Traversals of graphs are also called searches We can use either breadth-first

More information

Stacks. CONTENTS 3.1 Introduction 1. Stack as an abstract data type 2. Representation of a Stack as an array 3.2Applications of Stack.

Stacks. CONTENTS 3.1 Introduction 1. Stack as an abstract data type 2. Representation of a Stack as an array 3.2Applications of Stack. Stacks CONTENTS 3.1 Introduction 1. Stack as an abstract data type 2. Representation of a Stack as an array 3.2Applications of Stack Hours: 12 Marks: 18 3.1 Introduction to Stacks 1. Stack as Abstract

More information

Stacks, Queues and Hierarchical Collections

Stacks, Queues and Hierarchical Collections Programming III Stacks, Queues and Hierarchical Collections 2501ICT Nathan Contents Linked Data Structures Revisited Stacks Queues Trees Binary Trees Generic Trees Implementations 2 Copyright 2002- by

More information

EC8393FUNDAMENTALS OF DATA STRUCTURES IN C Unit 3

EC8393FUNDAMENTALS OF DATA STRUCTURES IN C Unit 3 UNIT 3 LINEAR DATA STRUCTURES 1. Define Data Structures Data Structures is defined as the way of organizing all data items that consider not only the elements stored but also stores the relationship between

More information

CS 206 Introduction to Computer Science II

CS 206 Introduction to Computer Science II CS 206 Introduction to Computer Science II 07 / 26 / 2016 Instructor: Michael Eckmann Today s Topics Comments/Questions? Stacks and Queues Applications of both Priority Queues Michael Eckmann - Skidmore

More information

An Introduction to Trees

An Introduction to Trees An Introduction to Trees Alice E. Fischer Spring 2017 Alice E. Fischer An Introduction to Trees... 1/34 Spring 2017 1 / 34 Outline 1 Trees the Abstraction Definitions 2 Expression Trees 3 Binary Search

More information

Stacks Calculator Application. Alexandra Stefan

Stacks Calculator Application. Alexandra Stefan Stacks Calculator Application Alexandra Stefan Last modified 2/6/2018 1 Infix and Postfix Notation The standard notation we use for writing mathematical expressions is called infix notation. The operators

More information

Stating the obvious, people and computers do not speak the same language.

Stating the obvious, people and computers do not speak the same language. 3.4 SYSTEM SOFTWARE 3.4.3 TRANSLATION SOFTWARE INTRODUCTION Stating the obvious, people and computers do not speak the same language. People have to write programs in order to instruct a computer what

More information

Linear Data Structure

Linear Data Structure Linear Data Structure Definition A data structure is said to be linear if its elements form a sequence or a linear list. Examples: Array Linked List Stacks Queues Operations on linear Data Structures Traversal

More information

Stacks and their Applications

Stacks and their Applications Stacks and their Applications Lecture 23 Sections 18.1-18.2 Robb T. Koether Hampden-Sydney College Fri, Mar 16, 2018 Robb T. Koether Hampden-Sydney College) Stacks and their Applications Fri, Mar 16, 2018

More information

PA3 Design Specification

PA3 Design Specification PA3 Teaching Data Structure 1. System Description The Data Structure Web application is written in JavaScript and HTML5. It has been divided into 9 pages: Singly linked page, Stack page, Postfix expression

More information

Stacks Fall 2018 Margaret Reid-Miller

Stacks Fall 2018 Margaret Reid-Miller Stacks 15-121 Fall 2018 Margaret Reid-Miller Today Exam 2 is next Tuesday, October 30 Today: Quiz 5 solutions Recursive add from last week (see SinglyLinkedListR.java) Stacks ADT (Queues on Thursday) ArrayStack

More information

Postfix Notation is a notation in which the operator follows its operands in the expression (e.g ).

Postfix Notation is a notation in which the operator follows its operands in the expression (e.g ). Assignment 5 Introduction For this assignment, you will write classes to evaluate arithmetic expressions represented as text. For example, the string "1 2 ( * 4)" would evaluate to 15. This process will

More information

Lecture 4: Stack Applications CS2504/CS4092 Algorithms and Linear Data Structures. Parentheses and Mathematical Expressions

Lecture 4: Stack Applications CS2504/CS4092 Algorithms and Linear Data Structures. Parentheses and Mathematical Expressions Lecture 4: Applications CS2504/CS4092 Algorithms and Linear Data Structures Dr Kieran T. Herley Department of Computer Science University College Cork Summary. Postfix notation for arithmetic expressions.

More information

Tree. Virendra Singh Indian Institute of Science Bangalore Lecture 11. Courtesy: Prof. Sartaj Sahni. Sep 3,2010

Tree. Virendra Singh Indian Institute of Science Bangalore Lecture 11. Courtesy: Prof. Sartaj Sahni. Sep 3,2010 SE-286: Data Structures t and Programming Tree Virendra Singh Indian Institute of Science Bangalore Lecture 11 Courtesy: Prof. Sartaj Sahni 1 Trees Nature Lover sviewofatree leaves branches root 3 Computer

More information

The Bucharest University of Economic Studies. Data Structures. ADTs-Abstract Data Types Stacks and Queues

The Bucharest University of Economic Studies. Data Structures. ADTs-Abstract Data Types Stacks and Queues The Bucharest University of Economic Studies Data Structures ADTs-Abstract Data Types Stacks and Queues Agenda Definition Graphical representation Internal interpretation Characteristics Operations Implementations

More information

CS 211 Programming Practicum Spring 2017

CS 211 Programming Practicum Spring 2017 Due: Tuesday, 3/28/17 at 11:59 pm Infix Expression Evaluator Programming Project 5 For this lab, write a JAVA program that will evaluate an infix expression. The algorithm REQUIRED for this program will

More information

Postfix (and prefix) notation

Postfix (and prefix) notation Postfix (and prefix) notation Also called reverse Polish reversed form of notation devised by mathematician named Jan Łukasiewicz (so really lü-kä-sha-vech notation) Infix notation is: operand operator

More information

Operators. Java operators are classified into three categories:

Operators. Java operators are classified into three categories: Operators Operators are symbols that perform arithmetic and logical operations on operands and provide a meaningful result. Operands are data values (variables or constants) which are involved in operations.

More information

ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 )

ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 ) ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 ) Unit - 2 By: Gurpreet Singh Dean Academics & H.O.D. (C.S.E. / I.T.) Yamuna Institute of Engineering & Technology, Gadholi What is a Stack? A stack is a

More information

COMP-421 Compiler Design. Presented by Dr Ioanna Dionysiou

COMP-421 Compiler Design. Presented by Dr Ioanna Dionysiou COMP-421 Compiler Design Presented by Dr Ioanna Dionysiou Administrative! Any questions about the syllabus?! Course Material available at www.cs.unic.ac.cy/ioanna! Next time reading assignment [ALSU07]

More information

LECTURE 13 BINARY TREES

LECTURE 13 BINARY TREES DATA STRUCTURES AND ALGORITHMS LECTURE 13 BINARY TREES IMRAN IHSAN ASSISTANT PROFESSOR AIR UNIVERSITY, ISLAMABAD DEFINITION The arbitrary number of children in general trees is often unnecessary many real-life

More information

Infix to Postfix Conversion

Infix to Postfix Conversion Infix to Postfix Conversion Infix to Postfix Conversion Stacks are widely used in the design and implementation of compilers. For example, they are used to convert arithmetic expressions from infix notation

More information

Data Structures and Algorithms

Data Structures and Algorithms Data Structures and Algorithms Alice E. Fischer Lecture 6: Stacks 2018 Alice E. Fischer Data Structures L5, Stacks... 1/29 Lecture 6: Stacks 2018 1 / 29 Outline 1 Stacks C++ Template Class Functions 2

More information

Fundamentals of Programming CS-110. Lecture 3

Fundamentals of Programming CS-110. Lecture 3 Fundamentals of Programming CS-110 Lecture 3 Operators Operators Operators are words or symbols that cause a program to do something to variables. OPERATOR TYPES: Type Operators Usage Arithmetic + - *

More information

infix expressions (review)

infix expressions (review) Outline infix, prefix, and postfix expressions queues queue interface queue applications queue implementation: array queue queue implementation: linked queue application of queues and stacks: data structure

More information

Problem with Scanning an Infix Expression

Problem with Scanning an Infix Expression Operator Notation Consider the infix expression (X Y) + (W U), with parentheses added to make the evaluation order perfectly obvious. This is an arithmetic expression written in standard form, called infix

More information

Review: Expressions, Variables, Loops, and more.

Review: Expressions, Variables, Loops, and more. Review: Expressions, Variables, Loops, and more. 1 An Expression Evaluator Example [2] Wk02.1 Slide 1 2 Case Study : Parsing PostFix Expressions What is an expression? A series of symbols that return some

More information

Programming, Data Structures and Algorithms Prof. Hema A Murthy Department of Computer Science and Engineering Indian Institute of Technology, Madras

Programming, Data Structures and Algorithms Prof. Hema A Murthy Department of Computer Science and Engineering Indian Institute of Technology, Madras Programming, Data Structures and Algorithms Prof. Hema A Murthy Department of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 54 Assignment on Data Structures (Refer Slide

More information

Top of the Stack. Stack ADT

Top of the Stack. Stack ADT Module 3: Stack ADT Dr. Natarajan Meghanathan Professor of Computer Science Jackson State University Jackson, MS 39217 E-mail: natarajan.meghanathan@jsums.edu Stack ADT Features (Logical View) A List that

More information

CS 211 Programming Practicum Spring 2018

CS 211 Programming Practicum Spring 2018 Due: Thursday, 4/5/18 at 11:59 pm Infix Expression Evaluator Programming Project 5 For this lab, write a C++ program that will evaluate an infix expression. The algorithm REQUIRED for this program will

More information

CS Introduction to Data Structures How to Parse Arithmetic Expressions

CS Introduction to Data Structures How to Parse Arithmetic Expressions CS3901 - Introduction to Data Structures How to Parse Arithmetic Expressions Lt Col Joel Young One of the common task required in implementing programming languages, calculators, simulation systems, and

More information

Top of the Stack. Stack ADT

Top of the Stack. Stack ADT Module 3: Stack ADT Dr. Natarajan Meghanathan Professor of Computer Science Jackson State University Jackson, MS 39217 E-mail: natarajan.meghanathan@jsums.edu Stack ADT Features (Logical View) A List that

More information

n Data structures that reflect a temporal relationship q order of removal based on order of insertion n We will consider:

n Data structures that reflect a temporal relationship q order of removal based on order of insertion n We will consider: Linear, time-ordered structures CS00: Stacks n Prichard Ch 7 n Data structures that reflect a temporal relationship order of removal based on order of insertion n We will consider: first come,first serve

More information

Solution: The examples of stack application are reverse a string, post fix evaluation, infix to postfix conversion.

Solution: The examples of stack application are reverse a string, post fix evaluation, infix to postfix conversion. 1. What is the full form of LIFO? The full form of LIFO is Last In First Out. 2. Give some examples for stack application. The examples of stack application are reverse a string, post fix evaluation, infix

More information

CDA 3103 Computer Organization Homework #7 Solution Set

CDA 3103 Computer Organization Homework #7 Solution Set CDA 3103 Computer Organization Homework #7 Solution Set 1 Problems 1. Write a MARIE assembly program for the following algorithm where the subroutine takes two numbers and returns their product. Your assembly

More information

Outline. Stacks. 1 Chapter 5: Stacks and Queues. favicon. CSI33 Data Structures

Outline. Stacks. 1 Chapter 5: Stacks and Queues. favicon. CSI33 Data Structures Outline Chapter 5: and Queues 1 Chapter 5: and Queues Chapter 5: and Queues The Stack ADT A Container Class for Last-In-First-Out Access A stack is a last in, first out (LIFO) structure, i.e. a list-like

More information

12 Abstract Data Types

12 Abstract Data Types 12 Abstract Data Types 12.1 Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: Define the concept of an abstract data type (ADT). Define

More information

Assignment 5. Introduction

Assignment 5. Introduction Assignment 5 Introduction The objectives of this assignment are to exercise a few advanced object oriented programming and basic data structures concepts. The first mini-goal is to understand that objects

More information

Types of Data Structures

Types of Data Structures DATA STRUCTURES material prepared by: MUKESH BOHRA Follow me on FB : http://www.facebook.com/mukesh.sirji4u The logical or mathematical model of data is called a data structure. In other words, a data

More information

IV. Stacks. A. Introduction 1. Consider the 4 problems on pp (1) Model the discard pile in a card game. (2) Model a railroad switching yard

IV. Stacks. A. Introduction 1. Consider the 4 problems on pp (1) Model the discard pile in a card game. (2) Model a railroad switching yard IV. Stacks 1 A. Introduction 1. Consider the problems on pp. 170-1 (1) Model the discard pile in a card game (2) Model a railroad switching yard (3) Parentheses checker () Calculate and display base-two

More information

A Simple Syntax-Directed Translator

A Simple Syntax-Directed Translator Chapter 2 A Simple Syntax-Directed Translator 1-1 Introduction The analysis phase of a compiler breaks up a source program into constituent pieces and produces an internal representation for it, called

More information

DEEPIKA KAMBOJ UNIT 2. What is Stack?

DEEPIKA KAMBOJ UNIT 2. What is Stack? What is Stack? UNIT 2 Stack is an important data structure which stores its elements in an ordered manner. You must have seen a pile of plates where one plate is placed on top of another. Now, when you

More information

23 DECOMPOSITION OF GRAPHS

23 DECOMPOSITION OF GRAPHS DATA STRUCTURES AND ALGORITHMS 23 DECOMPOSITION OF GRAPHS REPRESENTING & EXPLORING GRAPHS IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD WWW.IMRANIHSAN.COM LECTURES ADAPTED FROM: DANIEL KANE,

More information

Programming in C++ Prof. Partha Pratim Das Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur

Programming in C++ Prof. Partha Pratim Das Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Programming in C++ Prof. Partha Pratim Das Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Lecture 07 Stack and Its Applications Welcome to module 5 of Programming

More information

Data Structures. Chapter 06. 3/10/2016 Md. Golam Moazzam, Dept. of CSE, JU

Data Structures. Chapter 06. 3/10/2016 Md. Golam Moazzam, Dept. of CSE, JU Data Structures Chapter 06 1 Stacks A stack is a list of elements in which an element may be inserted or deleted only at one end, called the top of the stack. This means that elements are removed from

More information

A complex expression to evaluate we need to reduce it to a series of simple expressions. E.g * 7 =>2+ 35 => 37. E.g.

A complex expression to evaluate we need to reduce it to a series of simple expressions. E.g * 7 =>2+ 35 => 37. E.g. 1.3a Expressions Expressions An Expression is a sequence of operands and operators that reduces to a single value. An operator is a syntactical token that requires an action be taken An operand is an object

More information

Tutorial 3: Infix, Prefix, Postfix & Tower of Hanoi

Tutorial 3: Infix, Prefix, Postfix & Tower of Hanoi Tutorial 3: Infix, Prefix, Postfix & Tower of Hanoi ? 2 Consider the following operation performed on a stack of size 5. Push(1); Pop(); Push(2); Push(3); Pop(); Push(4); Pop(); Pop(); Push(5); a) 1 b)

More information

IALP Algorithms

IALP Algorithms IALP 2011 - Algorithms P. Stallinga MIEET 1º ano Algorithms are general descriptions to solve a problem. Imagine we want to find the greatest common divisor of two integer numbers. (The GCD of two numbers

More information

CSE 230 Intermediate Programming in C and C++

CSE 230 Intermediate Programming in C and C++ CSE 230 Intermediate Programming in C and C++ Structures and List Processing Fall 2017 Stony Brook University Instructor: Shebuti Rayana http://www3.cs.stonybrook.edu/~cse230/ Self-referential Structure

More information

CS 211 Programming Practicum Fall 2018

CS 211 Programming Practicum Fall 2018 Due: Wednesday, 11/7/18 at 11:59 pm Infix Expression Evaluator Programming Project 5 For this lab, write a C++ program that will evaluate an infix expression. The algorithm REQUIRED for this program will

More information

CISC

CISC CISC-235 20180115+17+19 Much of the material we covered this week was already posted in the notes for last week. These notes take up where those left off, and fill in some gaps. We have discussed the notation

More information

LECTURE 11 TREE TRAVERSALS

LECTURE 11 TREE TRAVERSALS DATA STRUCTURES AND ALGORITHMS LECTURE 11 TREE TRAVERSALS IMRAN IHSAN ASSISTANT PROFESSOR AIR UNIVERSITY, ISLAMABAD BACKGROUND All the objects stored in an array or linked list can be accessed sequentially

More information

Lecture Data Structure Stack

Lecture Data Structure Stack Lecture Data Structure Stack 1.A stack :-is an abstract Data Type (ADT), commonly used in most programming languages. It is named stack as it behaves like a real-world stack, for example a deck of cards

More information

Project 3: RPN Calculator

Project 3: RPN Calculator ECE267 @ UIC, Spring 2012, Wenjing Rao Project 3: RPN Calculator What to do: Ask the user to input a string of expression in RPN form (+ - * / ), use a stack to evaluate the result and display the result

More information

DATA STRUCTURES AND ALGORITHMS

DATA STRUCTURES AND ALGORITHMS LECTURE 8 Babeş - Bolyai University Computer Science and Mathematics Faculty 2017-2018 In Lecture 7... ADT Queue ADT Matrix ADT List ADT Stack Today ADT Queue 1 ADT Queue 2 3 4 Note ADT Queue We will not

More information

Stack. 4. In Stack all Operations such as Insertion and Deletion are permitted at only one end. Size of the Stack 6. Maximum Value of Stack Top 5

Stack. 4. In Stack all Operations such as Insertion and Deletion are permitted at only one end. Size of the Stack 6. Maximum Value of Stack Top 5 What is Stack? Stack 1. Stack is LIFO Structure [ Last in First Out ] 2. Stack is Ordered List of Elements of Same Type. 3. Stack is Linear List 4. In Stack all Operations such as Insertion and Deletion

More information

Containers: Stack. Jordi Cortadella and Jordi Petit Department of Computer Science

Containers: Stack. Jordi Cortadella and Jordi Petit Department of Computer Science Containers: Stack Jordi Cortadella and Jordi Petit Department of Computer Science The Stack ADT A stack is a list of objects in which insertions and deletions can only be performed at the top of the list.

More information

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS

ADTS, GRAMMARS, PARSING, TREE TRAVERSALS 3//15 1 AD: Abstract Data ype 2 Just like a type: Bunch of values together with operations on them. Used often in discussing data structures Important: he definition says ntthing about the implementation,

More information

TREES. Trees - Introduction

TREES. Trees - Introduction TREES Chapter 6 Trees - Introduction All previous data organizations we've studied are linear each element can have only one predecessor and successor Accessing all elements in a linear sequence is O(n)

More information

Chapter 04: Instruction Sets and the Processor organizations. Lesson 18: Stack-based processor Organisation

Chapter 04: Instruction Sets and the Processor organizations. Lesson 18: Stack-based processor Organisation Chapter 04: Instruction Sets and the Processor organizations Lesson 18: Stack-based processor Organisation 1 Objective To understand stack based processor organisation Instruction set of a stack organized

More information