ENCM 335 Fall 2018 Tutorial for Week 13
|
|
- Vincent Harris
- 5 years ago
- Views:
Transcription
1 ENCM 335 Fall 2018 Tutorial for Week 13 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary 06 December, 2018
2 ENCM 335 Tutorial 06 Dec 2018 slide 2/12 Today s tutorial Exercises on recursion. A Python text file input exercise. Note: Online copies of ENCM 335 Fall 2018 tutorials can be found by following links starting at
3 ENCM 335 Tutorial 06 Dec 2018 slide 3/12 Exercise A: Recursive factorial function In mathematics, n!, called n factorial is defined as follows, for non-negative values of n: { 1 if n = 0 or n = 1 n! = n (n 1) 1 if n > 1 For example, 4! = = 24. What is a recursive solution to the problem of computing n!... a solution based on the solution to a simpler problem of the same kind? For the program on the next slide, let s make diagrams for the last time at (1), and the first and second times at (2).
4 ENCM 335 Tutorial 06 Dec 2018 slide 4/12 #include <stdio.h> double factorial(unsigned int n) { double r = 1.0; // (1) if (n > 1) r = n * factorial(n - 1); } // (2) return r; int main(void) { double ans = factorial(3); printf("3! is %g.\n", ans); return 0; } What is the base case for the recursive function factorial?
5 ENCM 335 Tutorial 06 Dec 2018 slide 5/12 Remarks: A non-recursive version of factorial with a simple loop would be more efficient! Simple examples of recursion tend to solve problems that are better solved with loops in C or Python.
6 ENCM 335 Tutorial 06 Dec 2018 slide 6/12 Exercise B: Recursive solution to an array problem Here s another simple problem that can be easily and efficient solved with a loop: Find the smallest value of array elements a[lo], a[lo+1],..., a[hi-1], where lo < hi. A simple loop-based solution is shown on the next slide.
7 ENCM 335 Tutorial 06 Dec 2018 slide 7/12 int min_val(const int *a, int lo, int hi) { int result = a[lo]; for (int i = lo + 1; i < hi; i++) if (a[i] < result) result = a[i]; return result; } int main(void) { int x[ ] = {20, -10, -15, 5}, y; y = min_val(x, 0, 4); return 0; }
8 ENCM 335 Tutorial 06 Dec 2018 slide 8/12 Let s design a recursive version of min_val. It won t be more more efficient than the loop-base version, but it s good practice for learning to think recursively. What is a good base case for finding the smallest value in a collection of one or more items? For the problem of finding the smallest value in a collection of N items, what is a simpler problem of the same kind? Let s write a function definition.
9 ENCM 335 Tutorial 06 Dec 2018 slide 9/12 Exercise C: Divide-and-conquer design As far as I know, there are no examples of divide-and-conquer algorithms that are both really useful and really easy to code. (Mergesort comes closest, I think, but coding a correct and efficient merge is not totally easy to do.) So examples of divide-and-conquer algorithms in ENCM 339 tend toward being not too hard to code, but also even easier to implement non-recursively with a loop... int all_same(const int* a, int lo, int hi); // REQUIRES: lo < hi, // elements a[lo]... a[hi-1] exist. // PROMISES: Return value is 1 if a[lo]... a[hi-1] // all have the same value, 0 otherwise. Implement all_same with divide-and-conquer recursion.
10 ENCM 335 Tutorial 06 Dec 2018 slide 10/12 Exercise D: More divide-and-conquer Note that the range of indexes is specified differently from how it was done in Exercise A... int count(const int* a, int lo, int hi, int key); // REQUIRES: lo <= hi, // elements a[lo]... a[hi] exist. // PROMISES: Return value indicates how many of // a[lo]... a[hi] are equal to key.
11 ENCM 335 Tutorial 06 Dec 2018 slide 11/12 How to describe a range of items in a collection Review: Exercises C and D: a[lo] is part of the range. Exercise C: a[hi] is not part of the range. Exercise D: a[hi] is part of the range. The scheme used in Exercise C is more convenient not only for divide-and-conquer recursion, but also for many other algorithms. The Exercise C scheme matches the way ranges and slices are set up in Python, and the way things called iterators work in the standard C++ library.
12 ENCM 335 Tutorial 06 Dec 2018 slide 12/12 Exercise E: Text file input with Python Suppose that foo.txt is a huge text file, supposedly full of representations of int values separated by whitespace (spaces, tabs, and/or newlines). Write a Python program that either... reports the smallest and largest values in foo.txt, if the file contents are what they are supposed to be; reports the line number where it is discovered that the file contents are not what they are supposed to be.
ENCM 501 Winter 2015 Tutorial for Week 5
ENCM 501 Winter 2015 Tutorial for Week 5 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary 11 February, 2015 ENCM 501 Tutorial 11 Feb 2015 slide
More informationSlide Set 18. for ENCM 339 Fall 2017 Section 01. Steve Norman, PhD, PEng
Slide Set 18 for ENCM 339 Fall 2017 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary December 2017 ENCM 339 Fall 2017 Section 01
More informationENCM 339 Fall 2017 Tutorial for Week 8
ENCM 339 Fall 2017 Tutorial for Week 8 for section T01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary 2 November, 2017 ENCM 339 T01 Tutorial
More informationT02 Tutorial Slides for Week 2
T02 Tutorial Slides for Week 2 ENEL 353: Digital Circuits Fall 2017 Term Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary 19 September, 2017
More informationSlide Set 1. for ENCM 339 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 1 for ENCM 339 Fall 2016 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary September 2016 ENCM 339 Fall 2016 Slide Set 1 slide 2/43
More informationSlide Set 8. for ENCM 339 Fall 2017 Section 01. Steve Norman, PhD, PEng
Slide Set 8 for ENCM 339 Fall 2017 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary October 2017 ENCM 339 Fall 2017 Section 01 Slide
More informationSlide Set 9. for ENCM 335 in Fall Steve Norman, PhD, PEng
Slide Set 9 for ENCM 335 in Fall 2018 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary October 2018 ENCM 335 Fall 2018 Slide Set 9 slide 2/32
More informationSlide Set 18. for ENCM 339 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 18 for ENCM 339 Fall 2016 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary December 2016 ENCM 339 Fall 2016 Slide Set 18 slide 2/26
More informationInteger Multiplication and Division
Integer Multiplication and Division for ENCM 369: Computer Organization Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Winter Term, 208 Integer
More informationSlide Set 2. for ENCM 335 in Fall Steve Norman, PhD, PEng
Slide Set 2 for ENCM 335 in Fall 2018 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary September 2018 ENCM 335 Fall 2018 Slide Set 2 slide
More informationSlide Set 4. for ENCM 335 in Fall Steve Norman, PhD, PEng
Slide Set 4 for ENCM 335 in Fall 2018 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary September 2018 ENCM 335 Fall 2018 Slide Set 4 slide
More informationSlide Set 5. for ENCM 369 Winter 2014 Lecture Section 01. Steve Norman, PhD, PEng
Slide Set 5 for ENCM 369 Winter 2014 Lecture Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Winter Term, 2014 ENCM 369 W14 Section
More information8/5/10 TODAY'S OUTLINE. Recursion COMP 10 EXPLORING COMPUTER SCIENCE. Revisit search and sorting using recursion. Recursion WHAT DOES THIS CODE DO?
8/5/10 TODAY'S OUTLINE Recursion COMP 10 EXPLORING COMPUTER SCIENCE Revisit search and sorting using recursion Binary search Merge sort Lecture 8 Recursion WHAT DOES THIS CODE DO? A function is recursive
More informationSlide Set 3. for ENCM 339 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 3 for ENCM 339 Fall 2016 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary September 2016 ENCM 339 Fall 2016 Slide Set 3 slide 2/46
More informationSlide Set 14. for ENCM 339 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 14 for ENCM 339 Fall 2015 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Fall Term, 2015 SN s ENCM 339 Fall 2015 Slide Set 14 slide
More informationSlides for Lecture 15
Slides for Lecture 15 ENCM 501: Principles of Computer Architecture Winter 2014 Term Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary 6 March,
More informationSlide Set 4. for ENCM 339 Fall 2017 Section 01. Steve Norman, PhD, PEng
Slide Set 4 for ENCM 339 Fall 2017 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary September 2017 ENCM 339 Fall 2017 Section 01
More informationSlide Set 15 (Complete)
Slide Set 15 (Complete) for ENCM 339 Fall 2017 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary November 2017 ENCM 339 Fall 2017
More informationSlide Set 3. for ENCM 339 Fall 2017 Section 01. Steve Norman, PhD, PEng
Slide Set 3 for ENCM 339 Fall 2017 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary September 2017 ENCM 339 Fall 2017 Section 01
More informationENCM 335 Fall 2018 Lab 6 for the Week of October 22 Complete Instructions
page 1 of 5 ENCM 335 Fall 2018 Lab 6 for the Week of October 22 Complete Instructions Steve Norman Department of Electrical & Computer Engineering University of Calgary October 2018 Lab instructions and
More informationContents. Slide Set 1. About these slides. Outline of Slide Set 1. Typographical conventions: Italics. Typographical conventions. About these slides
Slide Set 1 for ENCM 369 Winter 2014 Lecture Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Winter Term, 2014 ENCM 369 W14 Section
More informationSlide Set 5. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng
Slide Set 5 for ENCM 369 Winter 2018 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary February 2018 ENCM 369 Winter 2018 Section
More informationContents. Slide Set 2. Outline of Slide Set 2. More about Pseudoinstructions. Avoid using pseudoinstructions in ENCM 369 labs
Slide Set 2 for ENCM 369 Winter 2014 Lecture Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Winter Term, 2014 ENCM 369 W14 Section
More informationSlide Set 3. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng
Slide Set 3 for ENCM 369 Winter 2018 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary January 2018 ENCM 369 Winter 2018 Section
More informationSlide Set 5. for ENCM 501 in Winter Term, Steve Norman, PhD, PEng
Slide Set 5 for ENCM 501 in Winter Term, 2017 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Winter Term, 2017 ENCM 501 W17 Lectures: Slide
More informationSlide Set 6. for ENCM 339 Fall 2017 Section 01. Steve Norman, PhD, PEng
Slide Set 6 for ENCM 339 Fall 2017 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary October 2017 ENCM 339 Fall 2017 Section 01 Slide
More informationSlide Set 1 (corrected)
Slide Set 1 (corrected) for ENCM 369 Winter 2018 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary January 2018 ENCM 369 Winter 2018
More informationCS 112 Introduction to Computing II. Wayne Snyder Computer Science Department Boston University
CS 112 Introduction to Computing II Wayne Snyder Department Boston University Today Recursive Sorting Methods and their Complexity: Mergesort Conclusions on sorting algorithms and complexity Next Time:
More informationThis session. Recursion. Planning the development. Software development. COM1022 Functional Programming and Reasoning
This session Recursion COM1022 Functional Programming and Reasoning Dr. Hans Georg Schaathun and Prof. Steve Schneider University of Surrey After this session, you should understand the principle of recursion
More informationSlide Set 9. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng
Slide Set 9 for ENCM 369 Winter 2018 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary March 2018 ENCM 369 Winter 2018 Section 01
More informationSlide Set 5. for ENCM 339 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 5 for ENCM 339 Fall 2016 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary October 2016 ENCM 339 Fall 2016 Slide Set 5 slide 2/32
More informationSlides for Lecture 15
Slides for Lecture 5 ENEL 353: Digital Circuits Fall 203 Term Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary October, 203 ENEL 353 F3 Section
More informationECE 2400 Computer Systems Programming Fall 2018 Topic 2: C Recursion
ECE 2400 Computer Systems Programming Fall 2018 Topic 2: C Recursion School of Electrical and Computer Engineering Cornell University revision: 2018-09-13-21-07 1 Dictionary Analogy 2 2 Computing Factorial
More informationENCM 339 Fall 2017 Lecture Section 01 Lab 9 for the Week of November 20
page 1 of 9 ENCM 339 Fall 2017 Lecture Section 01 Lab 9 for the Week of November 20 Steve Norman Department of Electrical & Computer Engineering University of Calgary November 2017 Lab instructions and
More informationSummary of Lecture 4. Computer Programming: Skills & Concepts (INF-1-CP1) Variables; scanf; Conditional Execution. Tutorials.
Summary of Lecture 4 Computer Programming: Skills & Concepts (INF-1-CP1) Variables; scanf; Conditional Execution Integer arithmetic in C. Converting pre-decimal money to decimal. The int type and its operators.
More informationENCM 501 Winter 2018 Assignment 2 for the Week of January 22 (with corrections)
page 1 of 5 ENCM 501 Winter 2018 Assignment 2 for the Week of January 22 (with corrections) Steve Norman Department of Electrical & Computer Engineering University of Calgary January 2018 Assignment instructions
More informationENCM 501 Winter 2016 Assignment 1 for the Week of January 25
page 1 of 5 ENCM 501 Winter 2016 Assignment 1 for the Week of January 25 Steve Norman Department of Electrical & Computer Engineering University of Calgary January 2016 Assignment instructions and other
More informationSlide Set 1. for ENEL 339 Fall 2014 Lecture Section 02. Steve Norman, PhD, PEng
Slide Set 1 for ENEL 339 Fall 2014 Lecture Section 02 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Fall Term, 2014 ENEL 353 F14 Section
More informationSlide Set 1. for ENEL 353 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 1 for ENEL 353 Fall 2017 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Fall Term, 2017 SN s ENEL 353 Fall 2017 Slide Set 1 slide
More informationSlide Set 11. for ENCM 369 Winter 2015 Lecture Section 01. Steve Norman, PhD, PEng
Slide Set 11 for ENCM 369 Winter 2015 Lecture Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Winter Term, 2015 ENCM 369 W15 Section
More informationCS 137 Part 8. Merge Sort, Quick Sort, Binary Search. November 20th, 2017
CS 137 Part 8 Merge Sort, Quick Sort, Binary Search November 20th, 2017 This Week We re going to see two more complicated sorting algorithms that will be our first introduction to O(n log n) sorting algorithms.
More informationEE 368. Weeks 4 (Notes)
EE 368 Weeks 4 (Notes) 1 Read Chapter 3 Recursion and Backtracking Recursion - Recursive Definition - Some Examples - Pros and Cons A Class of Recursive Algorithms (steps or mechanics about performing
More informationCS 112 Introduction to Computing II. Wayne Snyder Computer Science Department Boston University
0/6/6 CS Introduction to Computing II Wayne Snyder Department Boston University Today Conclusions on Iterative Sorting: Complexity of Insertion Sort Recursive Sorting Methods and their Complexity: Mergesort
More informationUniversity of Calgary Department of Electrical and Computer Engineering ENCM 339: Programming Fundamentals, Section 01 Instructor: Steve Norman
page 1 of 9 University of Calgary Department of Electrical and Computer Engineering ENCM 339: Programming Fundamentals, Section 01 Instructor: Steve Norman Fall 2017 FINAL EXAMINATION Location: ENG 60
More informationDepartment of Electrical Engineering and Computer Science MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Department of Electrical Engineering and Computer Science MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.095: Introduction to Computer Science and Programming Quiz I In order to receive credit you must answer
More informationDivide and Conquer. Algorithm Fall Semester
Divide and Conquer Algorithm 2014 Fall Semester Divide-and-Conquer The most-well known algorithm design strategy: 1. Divide instance of problem into two or more smaller instances 2. Solve smaller instances
More informationSlide Set 4. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng
Slide Set 4 for ENCM 369 Winter 2018 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary January 2018 ENCM 369 Winter 2018 Section
More informationCS126 Final Exam Review
CS126 Final Exam Review Fall 2007 1 Asymptotic Analysis (Big-O) Definition. f(n) is O(g(n)) if there exists constants c, n 0 > 0 such that f(n) c g(n) n n 0 We have not formed any theorems dealing with
More informationSlide Set 5. for ENEL 353 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 5 for ENEL 353 Fall 207 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Fall Term, 207 SN s ENEL 353 Fall 207 Slide Set 5 slide
More informationSlide Set 14. for ENCM 339 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary
Slide Set 14 for ENCM 339 Fall 2016 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary November 2016 ENCM 339 Fall 2016 Slide Set 14 slide 2/35
More informationENCM 339 Fall 2017: Cygwin Setup Help
page 1 of 6 ENCM 339 Fall 2017: Cygwin Setup Help Steve Norman Department of Electrical & Computer Engineering University of Calgary September 2017 Introduction This document is designed to help students
More informationBubble sort is so named because the numbers are said to bubble into their correct positions! Bubble Sort
Sorting Sorting is the process of placing elements from a collection in some kind of order. For example, a list of words could be sorted alphabetically or by length. A list of cities could be sorted by
More informationCS 506, Sect 002 Homework 5 Dr. David Nassimi Foundations of CS Due: Week 11, Mon. Apr. 7 Spring 2014
CS 506, Sect 002 Homework 5 Dr. David Nassimi Foundations of CS Due: Week 11, Mon. Apr. 7 Spring 2014 Study: Chapter 4 Analysis of Algorithms, Recursive Algorithms, and Recurrence Equations 1. Prove the
More informationENCM 335 Fall 2018 Lab 2 for the Week of September 24
page 1 of 8 ENCM 335 Fall 2018 Lab 2 for the Week of September 24 Steve Norman Department of Electrical & Computer Engineering University of Calgary September 2018 Lab instructions and other documents
More informationAnnouncements. Project 5 is on the street. Second part is essay questions for CoS teaming requirements.
Announcements Project 5 is on the street. Second part is essay questions for CoS teaming requirements. The first part you do as a team The CoS essay gets individually answered and has separate submission
More informationNotes - Recursion. A geeky definition of recursion is as follows: Recursion see Recursion.
Notes - Recursion So far we have only learned how to solve problems iteratively using loops. We will now learn how to solve problems recursively by having a method call itself. A geeky definition of recursion
More informationENCM 339 Fall 2017: Editing and Running Programs in the Lab
page 1 of 8 ENCM 339 Fall 2017: Editing and Running Programs in the Lab Steve Norman Department of Electrical & Computer Engineering University of Calgary September 2017 Introduction This document is a
More informationSlides for Lecture 6
Slides for Lecture 6 ENCM 501: Principles of Computer Architecture Winter 2014 Term Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary 28 January,
More informationHomework Assignment #3. 1 (5 pts) Demonstrate how mergesort works when sorting the following list of numbers:
CISC 4080 Computer Algorithms Spring, 2019 Homework Assignment #3 1 (5 pts) Demonstrate how mergesort works when sorting the following list of numbers: 6 1 4 2 3 8 7 5 2 Given the following array (list),
More informationCS 206 Introduction to Computer Science II
CS 206 Introduction to Computer Science II 03 / 19 / 2018 Instructor: Michael Eckmann Today s Topics Questions? Comments? Change making algorithm Greedy algorithm implementation Divide and conquer recursive
More informationAPCS-AB: Java. Recursion in Java December 12, week14 1
APCS-AB: Java Recursion in Java December 12, 2005 week14 1 Check point Double Linked List - extra project grade Must turn in today MBCS - Chapter 1 Installation Exercises Analysis Questions week14 2 Scheme
More informationOutline. Introduction. 2 Proof of Correctness. 3 Final Notes. Precondition P 1 : Inputs include
Outline Computer Science 331 Correctness of Algorithms Mike Jacobson Department of Computer Science University of Calgary Lectures #2-4 1 What is a? Applications 2 Recursive Algorithms 3 Final Notes Additional
More informationinput sort left half sort right half merge results Mergesort overview
Algorithms OBT S DGWICK K VIN W AYN Two classic sorting algorithms: mergesort and quicksort Critical components in the world s computational infrastructure. Full scientific understanding of their properties
More informationComputer Science 331
Computer Science 331 Merge Sort Wayne Eberly Department of Computer Science University of Calgary Lecture #23 Introduction Merge Sort Merging Conclusions Outline Introduction Merge Sort is is an asymptotically
More informationENCM 339 Fall 2017 Lecture Section 01 Lab 3 for the Week of October 2
page 1 of 11 ENCM 339 Fall 2017 Lecture Section 01 Lab 3 for the Week of October 2 Steve Norman Department of Electrical & Computer Engineering University of Calgary September 2017 Lab instructions and
More information4.1, 4.2 Performance, with Sorting
1 4.1, 4.2 Performance, with Sorting Running Time As soon as an Analytic Engine exists, it will necessarily guide the future course of the science. Whenever any result is sought by its aid, the question
More informationDivide & Conquer. 2. Conquer the sub-problems by solving them recursively. 1. Divide the problem into number of sub-problems
Divide & Conquer Divide & Conquer The Divide & Conquer approach breaks down the problem into multiple smaller sub-problems, solves the sub-problems recursively, then combines the solutions of the sub-problems
More informationCSE 143. Two important problems. Searching and Sorting. Review: Linear Search. Review: Binary Search. Example. How Efficient Is Linear Search?
Searching and Sorting [Chapter 9, pp. 402-432] Two important problems Search: finding something in a set of data Sorting: putting a set of data in order Both very common, very useful operations Both can
More information4.2 Sorting and Searching. Section 4.2
4.2 Sorting and Searching 1 Sequential Search Scan through array, looking for key. Search hit: return array index. Search miss: return -1. public static int search(string key, String[] a) { int N = a.length;
More informationScan and its Uses. 1 Scan. 1.1 Contraction CSE341T/CSE549T 09/17/2014. Lecture 8
CSE341T/CSE549T 09/17/2014 Lecture 8 Scan and its Uses 1 Scan Today, we start by learning a very useful primitive. First, lets start by thinking about what other primitives we have learned so far? The
More informationCOMP Data Structures
COMP 2140 - Data Structures Shahin Kamali Topic 5 - Sorting University of Manitoba Based on notes by S. Durocher. COMP 2140 - Data Structures 1 / 55 Overview Review: Insertion Sort Merge Sort Quicksort
More informationDATA STRUCTURE AND ALGORITHM USING PYTHON
DATA STRUCTURE AND ALGORITHM USING PYTHON Sorting, Searching Algorithm and Regular Expression Peter Lo Sorting Algorithms Put Elements of List in Certain Order 2 Bubble Sort The bubble sort makes multiple
More informationLECTURE NOTES OF ALGORITHMS: DESIGN TECHNIQUES AND ANALYSIS
Department of Computer Science University of Babylon LECTURE NOTES OF ALGORITHMS: DESIGN TECHNIQUES AND ANALYSIS By Faculty of Science for Women( SCIW), University of Babylon, Iraq Samaher@uobabylon.edu.iq
More informationENCM 369 Winter 2017 Lab 3 for the Week of January 30
page 1 of 11 ENCM 369 Winter 2017 Lab 3 for the Week of January 30 Steve Norman Department of Electrical & Computer Engineering University of Calgary January 2017 Lab instructions and other documents for
More informationHi everyone. Starting this week I'm going to make a couple tweaks to how section is run. The first thing is that I'm going to go over all the slides
Hi everyone. Starting this week I'm going to make a couple tweaks to how section is run. The first thing is that I'm going to go over all the slides for both problems first, and let you guys code them
More informationTest 1 Review Questions with Solutions
CS3510 Design & Analysis of Algorithms Section A Test 1 Review Questions with Solutions Instructor: Richard Peng Test 1 in class, Wednesday, Sep 13, 2017 Main Topics Asymptotic complexity: O, Ω, and Θ.
More informationUnit 6 Chapter 15 EXAMPLES OF COMPLEXITY CALCULATION
DESIGN AND ANALYSIS OF ALGORITHMS Unit 6 Chapter 15 EXAMPLES OF COMPLEXITY CALCULATION http://milanvachhani.blogspot.in EXAMPLES FROM THE SORTING WORLD Sorting provides a good set of examples for analyzing
More informationSEARCHING, SORTING, AND ASYMPTOTIC COMPLEXITY
1 A3 and Prelim 2 SEARCHING, SORTING, AND ASYMPTOTIC COMPLEXITY Lecture 11 CS2110 Fall 2016 Deadline for A3: tonight. Only two late days allowed (Wed-Thur) Prelim: Thursday evening. 74 conflicts! If you
More informationCSE 332: Data Structures & Parallelism Lecture 12: Comparison Sorting. Ruth Anderson Winter 2019
CSE 332: Data Structures & Parallelism Lecture 12: Comparison Sorting Ruth Anderson Winter 2019 Today Sorting Comparison sorting 2/08/2019 2 Introduction to sorting Stacks, queues, priority queues, and
More informationTwo Approaches to Algorithms An Example (1) Iteration (2) Recursion
2. Recursion Algorithm Two Approaches to Algorithms (1) Iteration It exploits while-loop, for-loop, repeat-until etc. Classical, conventional, and general approach (2) Recursion Self-function call It exploits
More information! Search: find a given item in a list, return the. ! Sort: rearrange the items in a list into some. ! list could be: array, linked list, string, etc.
Searching & Sorting Week 11 Gaddis: 8, 19.6,19.8 CS 5301 Fall 2014 Jill Seaman 1 Definitions of Search and Sort! Search: find a given item in a list, return the position of the item, or -1 if not found.!
More informationCSCI 2132 Software Development Lecture 18: Implementation of Recursive Algorithms
Lecture 18 p.1 Faculty of Computer Science, Dalhousie University CSCI 2132 Software Development Lecture 18: Implementation of Recursive Algorithms 17-Oct-2018 Location: Chemistry 125 Time: 12:35 13:25
More informationLecture 5 Sorting Arrays
Lecture 5 Sorting Arrays 15-122: Principles of Imperative Computation (Spring 2018) Frank Pfenning, Rob Simmons We begin this lecture by discussing how to compare running times of functions in an abstract,
More informationLecture 2: Getting Started
Lecture 2: Getting Started Insertion Sort Our first algorithm is Insertion Sort Solves the sorting problem Input: A sequence of n numbers a 1, a 2,..., a n. Output: A permutation (reordering) a 1, a 2,...,
More informationCHENNAI MATHEMATICAL INSTITUTE M.Sc. / Ph.D. Programme in Computer Science
CHENNAI MATHEMATICAL INSTITUTE M.Sc. / Ph.D. Programme in Computer Science Entrance Examination, 5 May 23 This question paper has 4 printed sides. Part A has questions of 3 marks each. Part B has 7 questions
More informationHints for Exercise 4: Recursion
Hints for Exercise 4: Recursion EECS 111, Winter 2017 Due Wednesday, Jan 8th by 11:59pm Question 1: multiply-list For many list problems, this one included, the base case is when the list is empty, which
More informationEC 413 Computer Organization
EC 413 Computer Organization C/C++ Language Review Prof. Michel A. Kinsy Programming Languages There are many programming languages available: Pascal, C, C++, Java, Ada, Perl and Python All of these languages
More informationLast time. Reasoning about programs. Coming up. Project Final Presentations. This Thursday, Nov 30: 4 th in-class exercise
Last time Reasoning about programs Coming up This Thursday, Nov 30: 4 th in-class exercise sign up for group on moodle bring laptop to class Final projects: final project presentations: Tue Dec 12, in
More informationReasoning about programs
Reasoning about programs Last time Coming up This Thursday, Nov 30: 4 th in-class exercise sign up for group on moodle bring laptop to class Final projects: final project presentations: Tue Dec 12, in
More informationCounting Problems; and Recursion! CSCI 2824, Fall 2012!
Counting Problems; and Recursion! CSCI 2824, Fall 2012!!! Assignments To read this week: Sections 5.5-5.6 (Ensley/Crawley Problem Set 3 has been sent out today. Challenge problem today!!!!! So, to recap
More informationUniversity of Calgary Department of Electrical and Computer Engineering ENCM 339 Lecture Section 01 Instructor: Steve Norman
page 1 of 6 University of Calgary Department of Electrical and Computer Engineering ENCM 339 Lecture Section 01 Instructor: Steve Norman Fall 2017 MIDTERM TEST Wednesday, November 1 7:00pm to 9:00pm This
More informationCS1 Lecture 13 Feb. 13, 2019
CS1 Lecture 13 Feb. 13, 2019 Exam 1, Thursday evening, 2/21, 6:30-8:00pm, W290 CB Email about make-ups will be sent tomorrow HW4 Q1 available. Q2 Q4 tomorrow. For Q1 only, Academic Honesty policy does
More informationComputer Science 210 Data Structures Siena College Fall Topic Notes: Searching and Sorting
Computer Science 10 Data Structures Siena College Fall 016 Topic Notes: Searching and Sorting Searching We all know what searching is looking for something. In a computer program, the search could be:
More informationUniversity of Calgary Department of Electrical and Computer Engineering ENCM 335 Instructor: Steve Norman
page 1 of 6 University of Calgary Department of Electrical and Computer Engineering ENCM 335 Instructor: Steve Norman Fall 2018 MIDTERM TEST Thursday, November 1 6:30pm to 8:30pm Please do not write your
More informationChapter 12 Supplement: Recursion with Java 1.5. Mr. Dave Clausen La Cañada High School
Chapter 12 Supplement: Recursion with Java 1.5 La Cañada High School Recursion: Definitions Recursion The process of a subprogram (method) calling itself. A clearly defined stopping state must exist. The
More informationCS 137 Part 7. Big-Oh Notation, Linear Searching and Basic Sorting Algorithms. November 10th, 2017
CS 137 Part 7 Big-Oh Notation, Linear Searching and Basic Sorting Algorithms November 10th, 2017 Big-Oh Notation Up to this point, we ve been writing code without any consideration for optimization. There
More informationDATA STRUCTURES AND ALGORITHMS
DATA STRUCTURES AND ALGORITHMS Sorting algorithms External sorting, Search Summary of the previous lecture Fast sorting algorithms Quick sort Heap sort Radix sort Running time of these algorithms in average
More informationComputer Programming
Computer Programming Dr. Deepak B Phatak Dr. Supratik Chakraborty Department of Computer Science and Engineering Session: Merge Sort in C++ and Its Analysis Dr. Deepak B. Phatak & Dr. Supratik Chakraborty,
More informationUnit 10: Sorting/Searching/Recursion
Unit 10: Sorting/Searching/Recursion Notes AP CS A Searching. Here are two typical algorithms for searching a collection of items (which for us means an array or a list). A Linear Search starts at the
More informationSorting is ordering a list of objects. Here are some sorting algorithms
Sorting Sorting is ordering a list of objects. Here are some sorting algorithms Bubble sort Insertion sort Selection sort Mergesort Question: What is the lower bound for all sorting algorithms? Algorithms
More information