Model Answer. Section A Q.1 - (20 1=10) B.Tech. (Fifth Semester) Examination Analysis and Design of Algorithm (IT3105N) (Information Technology)

R13 SET - 1. ''' '' ''' ' blog: anilkumarprathipati.wordpress.com. Code No: RT32054

R13 SET - 1 III B. Tech II Semester Regular Examinations, April - 2016 1 a) Distinguish between Algorithm and Psuedocode. [3M] b) Describe the Algorithm Analysis of Binary Search. [4M] c) State the Job

CLASS: II YEAR / IV SEMESTER CSE CS 6402-DESIGN AND ANALYSIS OF ALGORITHM UNIT I INTRODUCTION

CLASS: II YEAR / IV SEMESTER CSE CS 6402-DESIGN AND ANALYSIS OF ALGORITHM UNIT I INTRODUCTION 1. What is performance measurement? 2. What is an algorithm? 3. How the algorithm is good? 4. What are the

Virtual University of Pakistan

Virtual University of Pakistan Department of Computer Science Course Outline Course Instructor Dr. Sohail Aslam E mail Course Code Course Title Credit Hours 3 Prerequisites Objectives Learning Outcomes

D.K.M.COLLEGE FOR WOMEN (AUTONOMOUS), VELLORE-1.

D.K.M.COLLEGE FOR WOMEN (AUTONOMOUS), VELLORE-1. DESIGN AND ANALYSIS OF ALGORITHM UNIT- I SECTION-A 2 MARKS 1. Define an algorithm? 2. Specify the criteria of algorithm? 3. What is Computational Procedure?

5105 BHARATHIDASAN ENGINEERING COLLEGE

CS 6402 DESIGN AND ANALYSIS OF ALGORITHMS II CSE/IT /IV SEMESTER UNIT I PART A 1. Design an algorithm to compute the area and circumference of a circle?(dec 2016) 2. Define recurrence relation? (Dec 2016)

DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING Question Bank Subject Name: CS6402- Design & Analysis of Algorithm Year/Sem : II/IV UNIT-I INTRODUCTION

Chendu College of Engineering & Technology (Approved by AICTE, New Delhi and Affiliated to Anna University) Zamin Endathur, Madurantakam, Kancheepuram District 603311 +91-44-27540091/92 www.ccet.org.in

Topic Analysis PART-A

Govt. of Karnataka, Department of Technical Education Diploma in Information Science & Engineering Third Semester Subject: ANALYSIS AND DESIGN OF ALGORITHM Contact Hrs / week: Total hrs: 64 Topic Analysis

Review of course COMP-251B winter 2010

Review of course COMP-251B winter 2010 Lecture 1. Book Section 15.2 : Chained matrix product Matrix product is associative Computing all possible ways of parenthesizing Recursive solution Worst-case running-time

DESIGN AND ANALYSIS OF ALGORITHMS

DESIGN AND ANALYSIS OF ALGORITHMS QUESTION BANK Module 1 OBJECTIVE: Algorithms play the central role in both the science and the practice of computing. There are compelling reasons to study algorithms.

CS6402 DESIGN AND ANALYSIS OF ALGORITHMS QUESTION BANK UNIT I

CS6402 DESIGN AND ANALYSIS OF ALGORITHMS QUESTION BANK UNIT I PART A(2MARKS) 1. What is an algorithm? 2. What is meant by open hashing? 3. Define Ω-notation 4.Define order of an algorithm. 5. Define O-notation

Contents. 1 Introduction. 2 Searching and Traversal Techniques. Preface... (vii) Acknowledgements... (ix)

Contents Preface... (vii) Acknowledgements... (ix) 1 Introduction 1.1 Algorithm 1 1.2 Life Cycle of Design and Analysis of Algorithm 2 1.3 Pseudo-Code for Expressing Algorithms 5 1.4 Recursive Algorithms

Department of Computer Applications. MCA 312: Design and Analysis of Algorithms. [Part I : Medium Answer Type Questions] UNIT I

MCA 312: Design and Analysis of Algorithms [Part I : Medium Answer Type Questions] UNIT I 1) What is an Algorithm? What is the need to study Algorithms? 2) Define: a) Time Efficiency b) Space Efficiency

SUGGESTION : read all the questions and their values before you start.

Faculty of Science Final Examination Computer Science 308-251B Examiner: Prof. Claude Crépeau Date: April 30, 2010 Associate Examiner: Prof. Patrick Hayden Time: 09:00 12:00 INSTRUCTIONS: This examination

INSTITUTE OF AERONAUTICAL ENGINEERING

INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad -500 043 INFORMATION TECHNOLOGY TUTORIAL QUESTION BANK Course Name : DESIGN AND ANALYSIS OF ALGORITHMS Course Code : AIT001 Class

( ) + n. ( ) = n "1) + n. ( ) = T n 2. ( ) = 2T n 2. ( ) = T( n 2 ) +1

CSE 0 Name Test Summer 00 Last Digits of Student ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. Suppose you are sorting millions of keys that consist of three decimal

Sankalchand Patel College of Engineering - Visnagar Department of Computer Engineering and Information Technology. Assignment

Class: V - CE Sankalchand Patel College of Engineering - Visnagar Department of Computer Engineering and Information Technology Sub: Design and Analysis of Algorithms Analysis of Algorithm: Assignment

Analysis of Algorithms

Second Edition Design and Analysis of Algorithms Prabhakar Gupta Vineet Agarwal Manish Varshney Design and Analysis of ALGORITHMS SECOND EDITION PRABHAKAR GUPTA Professor, Computer Science and Engineering

Introduction to Algorithms Third Edition

Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein Introduction to Algorithms Third Edition The MIT Press Cambridge, Massachusetts London, England Preface xiü I Foundations Introduction

15CS43: DESIGN AND ANALYSIS OF ALGORITHMS

15CS43: DESIGN AND ANALYSIS OF ALGORITHMS QUESTION BANK MODULE1 1. What is an algorithm? Write step by step procedure to write an algorithm. 2. What are the properties of an algorithm? Explain with an

INTERNATIONAL INSTITUTE OF MANAGEMENT, ENGINEERING & TECHNOLOGY, JAIPUR (IIMET)

INTERNATIONAL INSTITUTE OF MANAGEMENT, ENGINEERING & TECHNOLOGY, JAIPUR (IIMET) UNIT-1 Q.1 What is the significance of using notations in analysis of algorithm? Explain the various notations in brief?

Lecture 1. Introduction

Lecture 1 Introduction 1 Lecture Contents 1. What is an algorithm? 2. Fundamentals of Algorithmic Problem Solving 3. Important Problem Types 4. Fundamental Data Structures 2 1. What is an Algorithm? Algorithm

Overview of Data Structures, Algorithm Analysis

SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayanavanam Road 517583 QUESTION BANK (DESCRIPTIVE) Subject with Code : Advanced Data structures and Algorithms (16CS5804) Year & Sem: M.Tech

END-TERM EXAMINATION

(Please Write your Exam Roll No. immediately) Exam. Roll No... END-TERM EXAMINATION Paper Code : MCA-205 DECEMBER 2006 Subject: Design and analysis of algorithm Time: 3 Hours Maximum Marks: 60 Note: Attempt

L.J. Institute of Engineering & Technology Semester: VIII (2016)

Subject Name: Design & Analysis of Algorithm Subject Code:1810 Faculties: Mitesh Thakkar Sr. UNIT-1 Basics of Algorithms and Mathematics No 1 What is an algorithm? What do you mean by correct algorithm?

R10 SET - 1. Code No: R II B. Tech I Semester, Supplementary Examinations, May

www.jwjobs.net R10 SET - 1 II B. Tech I Semester, Supplementary Examinations, May - 2012 (Com. to CSE, IT, ECC ) Time: 3 hours Max Marks: 75 *******-****** 1. a) Which of the given options provides the

Chapter 9 Graph Algorithms

Chapter 9 Graph Algorithms 2 Introduction graph theory useful in practice represent many real-life problems can be slow if not careful with data structures 3 Definitions an undirected graph G = (V, E)

2. (a) Explain when the Quick sort is preferred to merge sort and vice-versa.

Code No: RR210504 Set No. 1 1. (a) Order the following functions according to their order of growth (from the lowest to the highest). (n-2)!, 5 log (n+100) 10,2 2n, 0.001n 4 +3n 3 +1, ln 2 n, n 1/3, 3

1 Format. 2 Topics Covered. 2.1 Minimal Spanning Trees. 2.2 Union Find. 2.3 Greedy. CS 124 Quiz 2 Review 3/25/18

CS 124 Quiz 2 Review 3/25/18 1 Format You will have 83 minutes to complete the exam. The exam may have true/false questions, multiple choice, example/counterexample problems, run-this-algorithm problems,

DESIGN AND ANALYSIS OF ALGORITHMS

QUESTION BANK DESIGN AND ANALYSIS OF ALGORITHMS UNIT1: INTRODUCTION OBJECTIVE: Algorithms play the central role in both the science and the practice of computing. There are compelling reasons to study

11/22/2016. Chapter 9 Graph Algorithms. Introduction. Definitions. Definitions. Definitions. Definitions

Introduction Chapter 9 Graph Algorithms graph theory useful in practice represent many real-life problems can be slow if not careful with data structures 2 Definitions an undirected graph G = (V, E) is

logn D. Θ C. Θ n 2 ( ) ( ) f n B. nlogn Ο n2 n 2 D. Ο & % ( C. Θ # ( D. Θ n ( ) Ω f ( n)

CSE 0 Test Your name as it appears on your UTA ID Card Fall 0 Multiple Choice:. Write the letter of your answer on the line ) to the LEFT of each problem.. CIRCLED ANSWERS DO NOT COUNT.. points each. The

Chapter 9 Graph Algorithms

Chapter 9 Graph Algorithms 2 Introduction graph theory useful in practice represent many real-life problems can be if not careful with data structures 3 Definitions an undirected graph G = (V, E) is a

Design and Analysis of Algorithms. Comp 271. Mordecai Golin. Department of Computer Science, HKUST

Design and Analysis of Algorithms Revised 05/02/03 Comp 271 Mordecai Golin Department of Computer Science, HKUST Information about the Lecturer Dr. Mordecai Golin Office: 3559 Email: golin@cs.ust.hk http://www.cs.ust.hk/

UCS-406 (Data Structure) Lab Assignment-1 (2 weeks)

UCS-40 (Data Structure) Lab Assignment- (2 weeks) Implement the following programs in C/C++/Python/Java using functions a) Insertion Sort b) Bubble Sort c) Selection Sort d) Linear Search e) Binary Search

Chapter 9 Graph Algorithms

Introduction graph theory useful in practice represent many real-life problems can be if not careful with data structures Chapter 9 Graph s 2 Definitions Definitions an undirected graph is a finite set

9. The expected time for insertion sort for n keys is in which set? (All n! input permutations are equally likely.)

CSE 0 Name Test Spring 006 Last 4 Digits of Student ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. Suppose f ( x) is a monotonically increasing function. Which of the

) $ f ( n) " %( g( n)

CSE 0 Name Test Spring 008 Last Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. The time to compute the sum of the n elements of an integer array is: # A.

( ). Which of ( ) ( ) " #& ( ) " # g( n) ( ) " # f ( n) Test 1

CSE 0 Name Test Summer 006 Last Digits of Student ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. The time to multiply two n x n matrices is: A. "( n) B. "( nlogn) # C.

CAD Algorithms. Categorizing Algorithms

CAD Algorithms Categorizing Algorithms Mohammad Tehranipoor ECE Department 2 September 2008 1 Categorizing Algorithms Greedy Algorithms Prim s Algorithm (Minimum Spanning Tree) A subgraph that is a tree

( ) n 3. n 2 ( ) D. Ο

CSE 0 Name Test Summer 0 Last Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. The time to multiply two n n matrices is: A. Θ( n) B. Θ( max( m,n, p) ) C.

Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest. Introduction to Algorithms

Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Introduction to Algorithms Preface xiii 1 Introduction 1 1.1 Algorithms 1 1.2 Analyzing algorithms 6 1.3 Designing algorithms 1 1 1.4 Summary 1 6

Question Paper Code : 97044

Reg. No. : Question Paper Code : 97044 B.E./B.Tech. DEGREE EXAMINATION NOVEMBER/DECEMBER 2014 Third Semester Computer Science and Engineering CS 6301 PROGRAMMING AND DATA STRUCTURES-II (Regulation 2013)

( ) 1 B. 1. Suppose f x

CSE Name Test Spring Last Digits of Student ID Multiple Choice. Write your answer to the LEFT of each problem. points each is a monotonically increasing function. Which of the following approximates the

n 2 ( ) ( ) + n is in Θ n logn

CSE Test Spring Name Last Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. The time to multiply an m n matrix and a n p matrix is in: A. Θ( n) B. Θ( max(

CSE 373: Data Structures and Algorithms

CSE 373: Data Structures and Algorithms Lecture 21: Finish Sorting, P vs NP Instructor: Lilian de Greef Quarter: Summer 2017 Today Announcements Finish up sorting Radix Sort Final comments on sorting Complexity

R13. II B. Tech I Semester Supplementary Examinations, May/June DATA STRUCTURES (Com. to ECE, CSE, EIE, IT, ECC)

SET - 1 II B. Tech I Semester Supplementary Examinations, May/June - 2016 PART A 1. a) Write a procedure for the Tower of Hanoi problem? b) What you mean by enqueue and dequeue operations in a queue? c)

CSE 373: Data Structures and Algorithms

CSE 373: Data Structures and Algorithms Lecture 21: Finish Sorting, P vs NP Instructor: Lilian de Greef Quarter: Summer 2017 Today Announcements Finish up sorting Radix Sort Final comments on sorting Complexity

CS521 \ Notes for the Final Exam

CS521 \ Notes for final exam 1 Ariel Stolerman Asymptotic Notations: CS521 \ Notes for the Final Exam Notation Definition Limit Big-O ( ) Small-o ( ) Big- ( ) Small- ( ) Big- ( ) Notes: ( ) ( ) ( ) ( )

4.1.2 Merge Sort Sorting Lower Bound Counting Sort Sorting in Practice Solving Problems by Sorting...

Contents 1 Introduction... 1 1.1 What is Competitive Programming?... 1 1.1.1 Programming Contests.... 2 1.1.2 Tips for Practicing.... 3 1.2 About This Book... 3 1.3 CSES Problem Set... 5 1.4 Other Resources...

1. For the sieve technique we solve the problem, recursively mathematically precisely accurately 2. We do sorting to, keep elements in random positions keep the algorithm run in linear order keep the algorithm

CS-6402 DESIGN AND ANALYSIS OF ALGORITHMS

CS-6402 DESIGN AND ANALYSIS OF ALGORITHMS 2 marks UNIT-I 1. Define Algorithm. An algorithm is a sequence of unambiguous instructions for solving a problem in a finite amount of time. 2.Write a short note

& ( D. " mnp ' ( ) n 3. n 2. ( ) C. " n

CSE Name Test Summer Last Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. The time to multiply two n " n matrices is: A. " n C. "% n B. " max( m,n, p). The

Total No. of Questions : 18] [Total No. of Pages : 02. M.Sc. DEGREE EXAMINATION, DEC First Year COMPUTER SCIENCE.

(DMCS01) Total No. of Questions : 18] [Total No. of Pages : 02 M.Sc. DEGREE EXAMINATION, DEC. 2016 First Year COMPUTER SCIENCE Data Structures Time : 3 Hours Maximum Marks : 70 Section - A (3 x 15 = 45)

IV/IV B.Tech (Regular) DEGREE EXAMINATION. Design and Analysis of Algorithms (CS/IT 414) Scheme of Evaluation

IV/IV B.Tech (Regular) DEGREE EXAMINATION Design and Analysis of Algorithms (CS/IT 414) Scheme of Evaluation Maximum: 60 Marks 1. Write briefly about the following 1*12= 12 Marks a) Give the characteristics

( D. Θ n. ( ) f n ( ) D. Ο%

CSE 0 Name Test Spring 0 Multiple Choice. Write your answer to the LEFT of each problem. points each. The time to run the code below is in: for i=n; i>=; i--) for j=; j

CSCE 321/3201 Analysis and Design of Algorithms. Prof. Amr Goneid. Fall 2016

CSCE 321/3201 Analysis and Design of Algorithms Prof. Amr Goneid Fall 2016 CSCE 321/3201 Analysis and Design of Algorithms Prof. Amr Goneid Course Resources Instructor: Prof. Amr Goneid E-mail: goneid@aucegypt.edu

Test points UTA Student ID #

CSE Name Test points UTA Student ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. Which of the following statements is true about HEAPSOT? A. It is stable.. It has a worse-case

Anany Levitin 3RD EDITION. Arup Kumar Bhattacharjee. mmmmm Analysis of Algorithms. Soumen Mukherjee. Introduction to TllG DCSISFI &

Introduction to TllG DCSISFI & mmmmm Analysis of Algorithms 3RD EDITION Anany Levitin Villa nova University International Edition contributions by Soumen Mukherjee RCC Institute of Information Technology

Test 1 Last 4 Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. 2 points each t 1

CSE 0 Name Test Fall 00 Last Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. points each t. What is the value of k? k=0 A. k B. t C. t+ D. t+ +. Suppose that you have

COURSE: DATA STRUCTURES USING C & C++ CODE: 05BMCAR17161 CREDITS: 05

COURSE: DATA STRUCTURES USING C & C++ CODE: 05BMCAR17161 CREDITS: 05 Unit 1 : LINEAR DATA STRUCTURES Introduction - Abstract Data Types (ADT), Arrays and its representation Structures, Stack, Queue, Circular

DESIGN AND ANALYSIS OF ALGORITHMS GREEDY METHOD

1 DESIGN AND ANALYSIS OF ALGORITHMS UNIT II Objectives GREEDY METHOD Explain and detail about greedy method Explain the concept of knapsack problem and solve the problems in knapsack Discuss the applications

Reference Sheet for CO142.2 Discrete Mathematics II

Reference Sheet for CO14. Discrete Mathematics II Spring 017 1 Graphs Defintions 1. Graph: set of N nodes and A arcs such that each a A is associated with an unordered pair of nodes.. Simple graph: no

Data Structures and Algorithm Analysis in C++

INTERNATIONAL EDITION Data Structures and Algorithm Analysis in C++ FOURTH EDITION Mark A. Weiss Data Structures and Algorithm Analysis in C++, International Edition Table of Contents Cover Title Contents

End-Term Examination Second Semester [MCA] MAY-JUNE 2006

(Please write your Roll No. immediately) Roll No. Paper Code: MCA-102 End-Term Examination Second Semester [MCA] MAY-JUNE 2006 Subject: Data Structure Time: 3 Hours Maximum Marks: 60 Note: Question 1.

Cs502 Solved MCQS MidTerm

Cs502 Solved MCQS MidTerm Question # 1 Word Algorithm comes from the name of the Muslim author: Abu Ja far Mohammad ibn Musaal-Khowarizmi. (p7) May 2013 Question # 2 Al-Khwarizmi s work was written in

Table of Contents. Chapter 1: Introduction to Data Structures... 1

Table of Contents Chapter 1: Introduction to Data Structures... 1 1.1 Data Types in C++... 2 Integer Types... 2 Character Types... 3 Floating-point Types... 3 Variables Names... 4 1.2 Arrays... 4 Extraction

1 Non greedy algorithms (which we should have covered

1 Non greedy algorithms (which we should have covered earlier) 1.1 Floyd Warshall algorithm This algorithm solves the all-pairs shortest paths problem, which is a problem where we want to find the shortest

( ) ( ) C. " 1 n. ( ) $ f n. ( ) B. " log( n! ) ( ) and that you already know ( ) ( ) " % g( n) ( ) " #&

CSE 0 Name Test Summer 008 Last 4 Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. The time for the following code is in which set? for (i=0; i

TOTAL CREDIT UNITS L T P/ S SW/F W. Course Title: Analysis & Design of Algorithm. Course Level: UG Course Code: CSE303 Credit Units: 5

Course Title: Analysis & Design of Algorithm Course Level: UG Course Code: CSE303 Credit Units: 5 L T P/ S SW/F W TOTAL CREDIT UNITS 3 1 2-5 Course Objectives: The designing of algorithm is an important

PROGRAMMING IN C++ (Regulation 2008) Answer ALL questions PART A (10 2 = 20 Marks) PART B (5 16 = 80 Marks) function? (8)

B.E./B.Tech. DEGREE EXAMINATION, NOVEMBER/DECEMBER 2009 EC 2202 DATA STRUCTURES AND OBJECT ORIENTED Time: Three hours PROGRAMMING IN C++ Answer ALL questions Maximum: 100 Marks 1. When do we declare a

CSE 100: B+ TREE, 2-3 TREE, NP- COMPLETNESS

CSE 100: B+ TREE, 2-3 TREE, NP- COMPLETNESS Analyzing find in B-trees Since the B-tree is perfectly height-balanced, the worst case time cost for find is O(logN) Best case: If every internal node is completely

Total No. of Questions :09] [Total No. of Pages : 02. II/IV B.Tech. DEGREE EXAMINATIONS, NOV/DEC First Semester CSE/IT DATA STRUCTURES USING C

CSE/IT 216 (CR) Total No. of Questions :09] [Total No. of Pages : 02 Time: Three Hours 1. a. ADT II/IV B.Tech. DEGREE EXAMINATIONS, NOV/DEC- 2015 First Semester CSE/IT DATA STRUCTURES USING C Answer Question

ECE250: Algorithms and Data Structures Final Review Course

ECE250: Algorithms and Data Structures Final Review Course Ladan Tahvildari, PEng, SMIEEE Professor Software Technologies Applied Research (STAR) Group Dept. of Elect. & Comp. Eng. University of Waterloo

(a) Write code to do this without using any floating-point arithmetic. Efficiency is not a concern here.

CS 146 Final Exam 1 Solutions by Dr. Beeson 1. Analysis of non-recursive algorithms. Consider the problem of counting the number of points with integer coordinates (x,y) on the circle of radius R, where

Sai Nath University. Assignment For B.tech in CS 8 st Sem.

Sai Nath University Assignment For B.tech in CS 8 st Sem. The Assignment will consist of two parts, A and B. Part A will have 5 short answer questions(40-60 words) of 4 marks each. Part B will have 4 long

Greedy algorithms. Given a problem, how do we design an algorithm that solves the problem? There are several strategies:

Greedy algorithms Input Algorithm Goal? Given a problem, how do we design an algorithm that solves the problem? There are several strategies: 1. Try to modify an existing algorithm. 2. Construct an algorithm

Algorithms and Data Structures CS-CO-412

Algorithms and Data Structures CS-CO-412 David Vernon Professor of Informatics University of Skövde Sweden david@vernon.eu www.vernon.eu Algorithms and Data Structures 1 Copyright D. Vernon 2014 Course

Total No. of Questions :09] [Total No. of Pages : 02

CS/IT 315 (CR) Total No. of Questions :09] [Total No. of Pages : 02 III/IV B.Tech. DEGREE EXAMINATIONS, NOV/DEC- 2016 First Semester CS/IT DESIGN ANALYSIS OF ALGORITHMS Time: Three Hours Answer Question

PSD1A. DESIGN AND ANALYSIS OF ALGORITHMS Unit : I-V

PSD1A DESIGN AND ANALYSIS OF ALGORITHMS Unit : I-V UNIT I -- Introduction -- Definition of Algorithm -- Pseudocode conventions -- Recursive algorithms -- Time and space complexity -- Big- o notation --

Multiple Choice Question. Unit-1 Introduction

Multiple Choice Question Unit-1 Introduction 1. In analysis of algorithm, approximate relationship between the size of the job and the amount of work required to do is expressed by using (a) Central tendency

Lecture 13. Reading: Weiss, Ch. 9, Ch 8 CSE 100, UCSD: LEC 13. Page 1 of 29

Lecture 13 Connectedness in graphs Spanning trees in graphs Finding a minimal spanning tree Time costs of graph problems and NP-completeness Finding a minimal spanning tree: Prim s and Kruskal s algorithms

Chapter 1 Introduction

Preface xv Chapter 1 Introduction 1.1 What's the Book About? 1 1.2 Mathematics Review 2 1.2.1 Exponents 3 1.2.2 Logarithms 3 1.2.3 Series 4 1.2.4 Modular Arithmetic 5 1.2.5 The P Word 6 1.3 A Brief Introduction

Multiple Choice. Write your answer to the LEFT of each problem. 3 points each

CSE 0-00 Test Spring 0 Name Last 4 Digits of Student ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. Suppose f ( x) is a monotonically increasing function. Which of the

MSc(IT) Program. MSc(IT) Program Educational Objectives (PEO):

MSc(IT) Program Master of Science (Information Technology) is an intensive program designed for students who wish to pursue a professional career in Information Technology. The courses have been carefully

n 2 ( ) ( ) Ο f ( n) ( ) Ω B. n logn Ο

CSE 220 Name Test Fall 20 Last 4 Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. 4 points each. The time to compute the sum of the n elements of an integer array is in:

CS/ENGRD 2110 Object-Oriented Programming and Data Structures Spring 2012 Thorsten Joachims. Lecture 25: Review and Open Problems

CS/ENGRD 2110 Object-Oriented Programming and Data Structures Spring 2012 Thorsten Joachims Lecture 25: Review and Open Problems Course Overview Programming Concepts Object-Oriented Programming Interfaces

Design and Analysis of Algorithms - - Assessment

X Courses» Design and Analysis of Algorithms Week 1 Quiz 1) In the code fragment below, start and end are integer values and prime(x) is a function that returns true if x is a prime number and false otherwise.

CSE 100 Minimum Spanning Trees Prim s and Kruskal

CSE 100 Minimum Spanning Trees Prim s and Kruskal Your Turn The array of vertices, which include dist, prev, and done fields (initialize dist to INFINITY and done to false ): V0: dist= prev= done= adj:

( ) D. Θ ( ) ( ) Ο f ( n) ( ) Ω. C. T n C. Θ. B. n logn Ο

CSE 0 Name Test Fall 0 Multiple Choice. Write your answer to the LEFT of each problem. points each. The expected time for insertion sort for n keys is in which set? (All n! input permutations are equally

UNIT 5 GRAPH. Application of Graph Structure in real world:- Graph Terminologies:

UNIT 5 CSE 103 - Unit V- Graph GRAPH Graph is another important non-linear data structure. In tree Structure, there is a hierarchical relationship between, parent and children that is one-to-many relationship.

Algorithms and Data Structures

Algorithm Analysis Page 1 - Algorithm Analysis Dr. Fall 2008 Algorithm Analysis Page 2 Outline Textbook Overview Analysis of Algorithm Pseudo-Code and Primitive Operations Growth Rate and Big-Oh Notation

AP Computer Science 4325

4325 Instructional Unit Algorithm Design Techniques -divide-and-conquer The students will be -Decide whether an algorithm -classroom discussion -backtracking able to classify uses divide-and-conquer, -worksheets

S.E. (Computer) (First Semester) EXAMINATION, 2011 DATA STRUCTURES AND ALGORITHM (2008 PATTERN) Time : Three Hours Maximum Marks : 100

Total No. of Questions 12] [Total No. of Printed Pages 7 [4062]-204 S.E. (Computer) (First Semester) EXAMINATION, 2011 DATA STRUCTURES AND ALGORITHM (2008 PATTERN) Time : Three Hours Maximum Marks : 100

2.3 Optimal paths. E. Amaldi Foundations of Operations Research Politecnico di Milano 1

. Optimal paths E. Amaldi Foundations of Operations Research Politecnico di Milano Optimal (minimum or maximum) paths have a wide range of applications: Google maps, GPS navigators planning and management

UNIT 1 BASICS OF AN ALGORITHM

UNIT 1 BASICS OF AN ALGORITHM Basics of an Algorithm Structure Page Nos. 1.0 Introduction 5 1.1 Objectives 6 1.2. Analysis and Complexity of Algorithms 6 1.3 Basic Technique for Design of Efficient Algorithms

Course Name: B.Tech. 3 th Sem. No of hours allotted to complete the syllabi: 44 Hours No of hours allotted per week: 3 Hours. Planned.

Course Name: B.Tech. 3 th Sem. Subject: Data Structures No of hours allotted to complete the syllabi: 44 Hours No of hours allotted per week: 3 Hours Paper Code: ETCS-209 Topic Details No of Hours Planned

D. Θ nlogn ( ) D. Ο. ). Which of the following is not necessarily true? . Which of the following cannot be shown as an improvement? D.

CSE 0 Name Test Fall 00 Last Digits of Mav ID # Multiple Choice. Write your answer to the LEFT of each problem. points each. The time to convert an array, with priorities stored at subscripts through n,

DATA STRUCTURE : A MCQ QUESTION SET Code : RBMCQ0305

Q.1 If h is any hashing function and is used to hash n keys in to a table of size m, where n

2.3 Optimal paths. Optimal (shortest or longest) paths have a wide range of applications:

. Optimal paths Optimal (shortest or longest) paths have a wide range of applications: Google maps, GPS navigators planning and management of transportation, electrical and telecommunication networks project

Data Structures. 1. Each entry in a linked list is a called a (a)link (b)node (c)data structure (d)none of the above

Data Structures 1. Each entry in a linked list is a called a --------- (a)link (b)node (c)data structure (d)none of the above 2. Linked list uses type of memory allocation (a)static (b)dynamic (c)random