Class 2 Recursion on Lists

Size: px
Start display at page:

Download "Class 2 Recursion on Lists"

Transcription

1 Class 2 Recursion on Lists The list data type Recursive methods on lists MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 1

2 Data structures Contain large amounts of data Allow for access to that data Many different data structures, allowing efficiency for various operations; more from your data structures module MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 2

3 Lists Lists represent a simple data structure in which data are stored in a row. We will talk first about lists of integers: x 0, x 1,..., x n-1 (n >= 0) Elements can be added and removed only at the beginning (x 0 ) MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 3

4 Lists (cont.) Terminology: First element (x 0 ) is head of the list List of remaining elements (x 1,..., x n-1 ) is tail of the list Adding a new element to the front is called consing (for constructing ) The empty list is the list with no elements (n=0) MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 4

5 List operations We assume a type List, for variables that contain such lists. The List type will be defined by a class that also provides the following static methods: List cons (int i, List L) - construct a list containing i at the front List empty() - the empty (zero-element) list MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 5

6 List operations (cont.) List objects have the following instance methods: int gethead() return the head of the list List gettail() - return the tail of the list boolean isempty()- is the list empty? MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 6

7 Examples of list operations Suppose L is the list 2, 3, 5, 7 cons(2,cons(3,cons(5,cons(7,empty())))) ) L.getHead() returns 2 L.getTail() returns the list 3, 5, 7 L.isEmpty() returns false cons(13, L) returns the list 13, 2, 3, 5, 7 cons(13, L.getTail()) returns the list 13, 3, 5, 7 L.getTail().getTail() returns the list 5, MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 7

8 Example Assume we have defined the class List as described above. public static void main (String[] args) { List L = List.empty(); L = List.cons(5, L); L = List.cons(10, L); System.out.println(L.getHead()); System.out.println(L.getTail().getHead());} To avoid having to write List.empty and List.cons, use import static List.empty; import static List.cons; MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 8

9 Recursion on lists Writing recursive methods on lists follows same principle as for integers: To compute f(l), assume f(l ) can be calculated for lists L smaller than L, and use f(l ) to calculate f(l). Some lists are small enough for f to be calculated directly MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 9

10 Example: printing lists Print all the elements in a list, one per line: Assume you can print the tail of L (i.e. printlist(l.gettail())), so how do you print L? MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 10

11 Example: printing lists (cont.) static void printlist (List L) { if (L.isEmpty()) return; else { System.out.println(L.getHead()); printlist(l.gettail()); } } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 11

12 Example: printing lists (cont.) Print all the elements in a list, all on one line, separated by a comma and a space: Assume you can print the tail of L (i.e. printlist(l.gettail())), so how do you print L? Answer: print L.getHead(), followed by a comma and space, but only if the tail of L is nonempty MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 12

13 Example: printing lists (cont.) static void printlist (List L) { if (L.isEmpty()) return; else if (L.getTail().isEmpty())) System.out.print(L.getHead()); else { System.out.print(L.getHead()); System.out.print(, ); printlist(l.gettail()); } } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 13

14 The method Example: addtoend List addtoend (List L, int i) can be defined recursively. It adds the integer i at the end of the list L. For example, if L is the list 3, 5, 7, then addtoend(l, 2) returns the list 3, 5, 7, 2. We will see how to define addtoend later, but we can use it for MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 14

15 Example: reading integers Given integer n, read n integers from the user and place them in a list. Assume you can read n-1 integers and place them in a list; how can you read n integers? Answer: read the n-1 integers, creating a list L, then read one more integer and place it at the end of L MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 15

16 Example: reading integers (cont.) static List readlist (int n) { if (n == 0) return List.empty(); else { List L = readlist(n-1); int i = Keyboard.readInt(); return addtoend(l, i); } } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 16

17 Recursion on lists (review) Writing recursive methods on lists follows the same principle as for integers: To compute f(l), assume f(l ) can be calculated for lists L smaller than L, and use f(l ) to calculate f(l). Some lists are small enough for f to be calculated directly MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 17

18 Example: joining lists Given lists L and M, create a list consisting of the elements of L followed by the elements of M. Assume you can append the tail of L and M (i.e. append(l.gettail(), M)); how can you append L and M? MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 18

19 Example: joining lists (cont.) static List append (List L, List M) { if (L.isEmpty()) return M; else return cons(l.gethead(), append(l.gettail(), M)); } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 19

20 Example: addtoend Given list L and integer i, construct a list that contains the elements of L with i at the end. static List addtoend(list L, int i) { return append(l, cons(i, empty())); } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 20

21 Example: finding maximum element Find the maximum integer in a non-empty list. Assume you can find the maximum element of the tail (if the tail is non-empty) MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 21

22 Example: finding maximum element (cont.) static int max (List L) { if ((L.getTail().isEmpty())) return L.getHead(); else { int m = max(l.gettail()); return (L.getHead() > m)? L.getHead(): m; } } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 22

23 Example: list reversal Given list L, construct the reversal of L. Assume you can reverse the tail of L. How can you place the head of L in the reversal of the tail of L so as to get the reversal of L itself? MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 23

24 Example: list reversal (cont.) static List reverse (List L) { if (L.isEmpty()) return L; else return addtoend(reverse(l.gettail()), L.getHead()); } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 24

25 Analysis of list reversal reverse is rather slow. Consider how many method calls it makes in relation to the size of its argument. Note that addtoend(l) calls itself recursively n times, where n is the length of L. How many method calls does reverse(l) make? MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 25

26 Analysis of list reversal (cont.) After recursive call to itself, it calls addtoend, on a list of length n-1. So this makes n-1 calls to addtoend. Now consider the first recursive call. It in turn has a recursive call; after that inner recursive call, there is a call to addtoend, which entails n-2 calls to addtoend. Continuing in this way, there is a call to addtoend that involves n-3 calls, one involving n-4 calls, etc MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 26

27 Analysis of list reversal (cont.) Thus, the total number of calls to addtoend is (n-1) + (n-2) + + 1, which equals n(n-1)/2 n 2. This is a much larger number than n itself MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 27

28 Faster list reversal To avoid the quadratic cost of reversal, we can define another version, which we will call rev (just to distinguish it). The important trick is that rev uses an auxiliary (helper) method rev1 with type List rev1 (List L, List M) rev1(l,m) is defined to return the reversal of L appended to M MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 28

29 Faster list reversal (cont.) rev1 can be defined recursively. The key observation is this one: Placing the reversal of L onto the front of M is the same thing as placing the reversal of the tail of L onto cons(gethead(l), M). For example, if we want to place the reversal of 1,2,3 onto the front of list 4,5 - obtaining 3,2,1,4,5 - we can just as well place the reversal of 2,3 onto the front of 1,4, MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 29

30 Faster list reversal (cont.) This observation leads to: static List rev1 (List L, List M) { if (L.isEmpty()) return M; else return rev1(l.gettail(), List.cons(L.getHead(), M)); } Note that this requires only n method calls, where n is the length of L MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 30

31 Faster list reversal (cont.) We can easily program rev once we ve got rev1. static List rev (List L) { return rev1(l, List.empty); } MSc Workshop S.Kamin, U.S.Reddy 1B - Lists - 31

CS 151. Linked Lists, Recursively Implemented. Wednesday, October 3, 12

CS 151. Linked Lists, Recursively Implemented. Wednesday, October 3, 12 CS 151 Linked Lists, Recursively Implemented 1 2 Linked Lists, Revisited Recall that a linked list is a structure that represents a sequence of elements that are stored non-contiguously in memory. We can

More information

Lecture 35: Analysis Review & Tail Recursion 10:00 AM, Nov 28, 2018

Lecture 35: Analysis Review & Tail Recursion 10:00 AM, Nov 28, 2018 Integrated Introduction to Computer Science Klein Lecture 35: Analysis Review & Tail Recursion 10:00 AM, Nov 28, 2018 Contents 1 Append 1 1.1 Implementation....................................... 1 1.2

More information

CS 61B, Spring 1999 MT3 Professor M. Clancy

CS 61B, Spring 1999 MT3 Professor M. Clancy CS 61B, Spring 1999 MT3 Professor M. Clancy Problem #1 One approach to producing debugging output is to use inheritance to create objects that print any changes to themselves. For instance, instead of

More information

User-defined Functions. Conditional Expressions in Scheme

User-defined Functions. Conditional Expressions in Scheme User-defined Functions The list (lambda (args (body s to a function with (args as its argument list and (body as the function body. No quotes are needed for (args or (body. (lambda (x (+ x 1 s to the increment

More information

Advanced Programming Handout 6. Purely Functional Data Structures: A Case Study in Functional Programming

Advanced Programming Handout 6. Purely Functional Data Structures: A Case Study in Functional Programming Advanced Programming Handout 6 Purely Functional Data Structures: A Case Study in Functional Programming Persistent vs. Ephemeral An ephemeral data structure is one for which only one version is available

More information

CMSC 330: Organization of Programming Languages. Functional Programming with Lists

CMSC 330: Organization of Programming Languages. Functional Programming with Lists CMSC 330: Organization of Programming Languages Functional Programming with Lists CMSC330 Spring 2018 1 Lists in OCaml The basic data structure in OCaml Lists can be of arbitrary length Implemented as

More information

Advanced Programming Handout 5. Purely Functional Data Structures: A Case Study in Functional Programming

Advanced Programming Handout 5. Purely Functional Data Structures: A Case Study in Functional Programming Advanced Programming Handout 5 Purely Functional Data Structures: A Case Study in Functional Programming Persistent vs. Ephemeral An ephemeral data structure is one for which only one version is available

More information

1.00 Introduction to Computers and Engineering Problem Solving. Quiz 1 March 7, 2003

1.00 Introduction to Computers and Engineering Problem Solving. Quiz 1 March 7, 2003 1.00 Introduction to Computers and Engineering Problem Solving Quiz 1 March 7, 2003 Name: Email Address: TA: Section: You have 90 minutes to complete this exam. For coding questions, you do not need to

More information

Scheme. Functional Programming. Lambda Calculus. CSC 4101: Programming Languages 1. Textbook, Sections , 13.7

Scheme. Functional Programming. Lambda Calculus. CSC 4101: Programming Languages 1. Textbook, Sections , 13.7 Scheme Textbook, Sections 13.1 13.3, 13.7 1 Functional Programming Based on mathematical functions Take argument, return value Only function call, no assignment Functions are first-class values E.g., functions

More information

Plan (next 4 weeks) 1. Fast forward. 2. Rewind. 3. Slow motion. Rapid introduction to what s in OCaml. Go over the pieces individually

Plan (next 4 weeks) 1. Fast forward. 2. Rewind. 3. Slow motion. Rapid introduction to what s in OCaml. Go over the pieces individually Plan (next 4 weeks) 1. Fast forward Rapid introduction to what s in OCaml 2. Rewind 3. Slow motion Go over the pieces individually History, Variants Meta Language Designed by Robin Milner @ Edinburgh Language

More information

8 Hiding Implementation Details

8 Hiding Implementation Details Object-Oriented Design Lecture 8 CS 3500 Spring 2011 (Pucella) Friday, Feb 4, 2011 8 Hiding Implementation Details Last time we saw the Interpreter Design Pattern as a rather mechanical way to get an implementation

More information

15 212: Principles of Programming. Some Notes on Continuations

15 212: Principles of Programming. Some Notes on Continuations 15 212: Principles of Programming Some Notes on Continuations Michael Erdmann Spring 2011 These notes provide a brief introduction to continuations as a programming technique. Continuations have a rich

More information

CSE413 Midterm. Question Max Points Total 100

CSE413 Midterm. Question Max Points Total 100 CSE413 Midterm 05 November 2007 Name Student ID Answer all questions; show your work. You may use: 1. The Scheme language definition. 2. One 8.5 * 11 piece of paper with handwritten notes Other items,

More information

Working with recursion. From definition to template. Readings: HtDP, sections 11, 12, 13 (Intermezzo 2).

Working with recursion. From definition to template. Readings: HtDP, sections 11, 12, 13 (Intermezzo 2). Working with recursion Readings: HtDP, sections 11, 12, 13 (Intermezzo 2). We can extend the idea of a self-referential definition to defining the natural numbers, which leads to the use of recursion in

More information

Collections and Combinatorial Search

Collections and Combinatorial Search Streams Collections and Combinatorial Search We ve seen a number of immutable collections that provide powerful operations, in particular for combinatorial search. For instance, to find the second prime

More information

Working with recursion

Working with recursion Working with recursion Readings: HtDP, sections 11, 12, 13 (Intermezzo 2). We can extend the idea of a self-referential definition to defining the natural numbers, which leads to the use of recursion in

More information

Homework 3 COSE212, Fall 2018

Homework 3 COSE212, Fall 2018 Homework 3 COSE212, Fall 2018 Hakjoo Oh Due: 10/28, 24:00 Problem 1 (100pts) Let us design and implement a programming language called ML. ML is a small yet Turing-complete functional language that supports

More information

CMP-326 Final Exam Fall 2013 Total 120 Points Version 1

CMP-326 Final Exam Fall 2013 Total 120 Points Version 1 Version 1 1. (10 Points) What is the output of the following code? public class Q1_1 { foo(false, false); foo(false, true); foo(true, false); foo(true, true); public static void foo(boolean a, boolean

More information

Functional Programming. Pure Functional Programming

Functional Programming. Pure Functional Programming Functional Programming Pure Functional Programming Computation is largely performed by applying functions to values. The value of an expression depends only on the values of its sub-expressions (if any).

More information

University of Waterloo Department of Electrical and Computer Engineering ECE 250 Algorithms and Data Structures

University of Waterloo Department of Electrical and Computer Engineering ECE 250 Algorithms and Data Structures University of Waterloo Department of Electrical and Computer Engineering ECE 250 Algorithms and Data Structures Final Examination (17 pages) Instructor: Douglas Harder April 14, 2004 9:00-12:00 Name (last,

More information

How to Design Programs

How to Design Programs How to Design Programs How to (in Racket): represent data variants trees and lists write functions that process the data See also http://www.htdp.org/ 1 Running Example: GUIs Pick a fruit: Apple Banana

More information

Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010

Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010 Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010 11 Polymorphism The functional iterator interface we have defined last lecture is nice, but it is not very general.

More information

UNIVERSITY OF TORONTO Faculty of Arts and Science. Midterm Sample Solutions CSC324H1 Duration: 50 minutes Instructor(s): David Liu.

UNIVERSITY OF TORONTO Faculty of Arts and Science. Midterm Sample Solutions CSC324H1 Duration: 50 minutes Instructor(s): David Liu. UNIVERSITY OF TORONTO Faculty of Arts and Science Midterm Sample s CSC324H1 Duration: 50 minutes Instructor(s): David Liu. No Aids Allowed Name: Student Number: Please read the following guidelines carefully.

More information

5. Implementing Information Structures

5. Implementing Information Structures 5. Implementing Information Structures 5.1 Introduction This chapter discusses some of the key principles for constructing information structures, such as lists and trees, and discusses primitive implementation

More information

CSE 143 SAMPLE MIDTERM

CSE 143 SAMPLE MIDTERM CSE 143 SAMPLE MIDTERM 1. (5 points) In some methods, you wrote code to check if a certain precondition was held. If the precondition did not hold, then you threw an exception. This leads to robust code

More information

CSE 2123 Recursion. Jeremy Morris

CSE 2123 Recursion. Jeremy Morris CSE 2123 Recursion Jeremy Morris 1 Past Few Weeks For the past few weeks we have been focusing on data structures Classes & Object-oriented programming Collections Lists, Sets, Maps, etc. Now we turn our

More information

PROGRAMMING IN HASKELL. CS Chapter 6 - Recursive Functions

PROGRAMMING IN HASKELL. CS Chapter 6 - Recursive Functions PROGRAMMING IN HASKELL CS-205 - Chapter 6 - Recursive Functions 0 Introduction As we have seen, many functions can naturally be defined in terms of other functions. factorial :: Int Int factorial n product

More information

Functional programming with Common Lisp

Functional programming with Common Lisp Functional programming with Common Lisp Dr. C. Constantinides Department of Computer Science and Software Engineering Concordia University Montreal, Canada August 11, 2016 1 / 81 Expressions and functions

More information

The List Datatype. CSc 372. Comparative Programming Languages. 6 : Haskell Lists. Department of Computer Science University of Arizona

The List Datatype. CSc 372. Comparative Programming Languages. 6 : Haskell Lists. Department of Computer Science University of Arizona The List Datatype CSc 372 Comparative Programming Languages 6 : Haskell Lists Department of Computer Science University of Arizona collberg@gmail.com All functional programming languages have the ConsList

More information

Loops. CSE 114, Computer Science 1 Stony Brook University

Loops. CSE 114, Computer Science 1 Stony Brook University Loops CSE 114, Computer Science 1 Stony Brook University http://www.cs.stonybrook.edu/~cse114 1 Motivation Suppose that you need to print a string (e.g., "Welcome to Java!") a user-defined times N: N?

More information

Local defini1ons. Func1on mul1ples- of

Local defini1ons. Func1on mul1ples- of Local defini1ons The func1ons and special forms we ve seen so far can be arbitrarily nested except define and check- expect. So far, defini.ons have to be made at the top level, outside any expression.

More information

CSE 341 Lecture 5. efficiency issues; tail recursion; print Ullman ; 4.1. slides created by Marty Stepp

CSE 341 Lecture 5. efficiency issues; tail recursion; print Ullman ; 4.1. slides created by Marty Stepp CSE 341 Lecture 5 efficiency issues; tail recursion; print Ullman 3.3-3.4; 4.1 slides created by Marty Stepp http://www.cs.washington.edu/341/ Efficiency exercise Write a function called reverse that accepts

More information

Lecture 6: Sequential Sorting

Lecture 6: Sequential Sorting 15-150 Lecture 6: Sequential Sorting Lecture by Dan Licata February 2, 2012 Today s lecture is about sorting. Along the way, we ll learn about divide and conquer algorithms, the tree method, and complete

More information

CMSC 330: Organization of Programming Languages. Functional Programming with Lists

CMSC 330: Organization of Programming Languages. Functional Programming with Lists CMSC 330: Organization of Programming Languages Functional Programming with Lists 1 Lists in OCaml The basic data structure in OCaml Lists can be of arbitrary length Implemented as a linked data structure

More information

OCaml. ML Flow. Complex types: Lists. Complex types: Lists. The PL for the discerning hacker. All elements must have same type.

OCaml. ML Flow. Complex types: Lists. Complex types: Lists. The PL for the discerning hacker. All elements must have same type. OCaml The PL for the discerning hacker. ML Flow Expressions (Syntax) Compile-time Static 1. Enter expression 2. ML infers a type Exec-time Dynamic Types 3. ML crunches expression down to a value 4. Value

More information

Interpreters and Tail Calls Fall 2017 Discussion 8: November 1, 2017 Solutions. 1 Calculator. calc> (+ 2 2) 4

Interpreters and Tail Calls Fall 2017 Discussion 8: November 1, 2017 Solutions. 1 Calculator. calc> (+ 2 2) 4 CS 61A Interpreters and Tail Calls Fall 2017 Discussion 8: November 1, 2017 Solutions 1 Calculator We are beginning to dive into the realm of interpreting computer programs that is, writing programs that

More information

Complexity, General. Standard approach: count the number of primitive operations executed.

Complexity, General. Standard approach: count the number of primitive operations executed. Complexity, General Allmänt Find a function T(n), which behaves as the time it takes to execute the program for input of size n. Standard approach: count the number of primitive operations executed. Standard

More information

Chapter 4: Control structures. Repetition

Chapter 4: Control structures. Repetition Chapter 4: Control structures Repetition Loop Statements After reading and studying this Section, student should be able to Implement repetition control in a program using while statements. Implement repetition

More information

Tuples. CMSC 330: Organization of Programming Languages. Examples With Tuples. Another Example

Tuples. CMSC 330: Organization of Programming Languages. Examples With Tuples. Another Example CMSC 330: Organization of Programming Languages OCaml 2 Higher Order Functions Tuples Constructed using (e1,..., en) Deconstructed using pattern matching Patterns involve parens and commas, e.g., (p1,p2,

More information

Lisp. Versions of LISP

Lisp. Versions of LISP Lisp Versions of LISP Lisp is an old language with many variants Lisp is alive and well today Most modern versions are based on Common Lisp LispWorks is based on Common Lisp Scheme is one of the major

More information

INTERPRETERS 8. 1 Calculator COMPUTER SCIENCE 61A. November 3, 2016

INTERPRETERS 8. 1 Calculator COMPUTER SCIENCE 61A. November 3, 2016 INTERPRETERS 8 COMPUTER SCIENCE 61A November 3, 2016 1 Calculator We are beginning to dive into the realm of interpreting computer programs that is, writing programs that understand other programs. In

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

Chapter 4: Control structures

Chapter 4: Control structures Chapter 4: Control structures Repetition Loop Statements After reading and studying this Section, student should be able to Implement repetition control in a program using while statements. Implement repetition

More information

A brief tour of history

A brief tour of history Introducing Racket λ A brief tour of history We wanted a language that allowed symbolic manipulation Scheme The key to understanding LISP is understanding S-Expressions Racket List of either atoms or

More information

Birkbeck (University of London) Software and Programming 1 In-class Test Mar 2018

Birkbeck (University of London) Software and Programming 1 In-class Test Mar 2018 Birkbeck (University of London) Software and Programming 1 In-class Test 2.1 22 Mar 2018 Student Name Student Number Answer ALL Questions 1. What output is produced when the following Java program fragment

More information

CS 455 Midterm 2 Spring 2018 [Bono] Apr. 3, 2018

CS 455 Midterm 2 Spring 2018 [Bono] Apr. 3, 2018 Name: USC NetID (e.g., ttrojan): CS 455 Midterm 2 Spring 2018 [Bono] Apr. 3, 2018 There are 7 problems on the exam, with 59 points total available. There are 10 pages to the exam (5 pages double-sided),

More information

AP COMPUTER SCIENCE A

AP COMPUTER SCIENCE A AP COMPUTER SCIENCE A CONTROL FLOW Aug 28 2017 Week 2 http://apcs.cold.rocks 1 More operators! not!= not equals to % remainder! Goes ahead of boolean!= is used just like == % is used just like / http://apcs.cold.rocks

More information

CSE 341 Section Handout #6 Cheat Sheet

CSE 341 Section Handout #6 Cheat Sheet Cheat Sheet Types numbers: integers (3, 802), reals (3.4), rationals (3/4), complex (2+3.4i) symbols: x, y, hello, r2d2 booleans: #t, #f strings: "hello", "how are you?" lists: (list 3 4 5) (list 98.5

More information

03/31/03 Lab 7. Linked Lists

03/31/03 Lab 7. Linked Lists 03/31/03 Lab 7 Lists are a collection of items in which each item has a specific position. The specification for positioning the items provides some rules of order so this data structure is called an ordered

More information

CSC 1351: Quiz 6: Sort and Search

CSC 1351: Quiz 6: Sort and Search CSC 1351: Quiz 6: Sort and Search Name: 0.1 You want to implement combat within a role playing game on a computer. Specifically, the game rules for damage inflicted by a hit are: In order to figure out

More information

Nested Loops ***** ***** ***** ***** ***** We know we can print out one line of this square as follows: System.out.

Nested Loops ***** ***** ***** ***** ***** We know we can print out one line of this square as follows: System.out. Nested Loops To investigate nested loops, we'll look at printing out some different star patterns. Let s consider that we want to print out a square as follows: We know we can print out one line of this

More information

A Second Look At ML. Chapter Seven Modern Programming Languages, 2nd ed. 1

A Second Look At ML. Chapter Seven Modern Programming Languages, 2nd ed. 1 A Second Look At ML Chapter Seven Modern Programming Languages, 2nd ed. 1 Outline Patterns Local variable definitions A sorting example Chapter Seven Modern Programming Languages, 2nd ed. 2 Two Patterns

More information

CS 135 Winter 2018 Tutorial 7: Accumulative Recursion and Binary Trees. CS 135 Winter 2018 Tutorial 7: Accumulative Recursion and Binary Trees 1

CS 135 Winter 2018 Tutorial 7: Accumulative Recursion and Binary Trees. CS 135 Winter 2018 Tutorial 7: Accumulative Recursion and Binary Trees 1 CS 135 Winter 2018 Tutorial 7: Accumulative Recursion and Binary Trees CS 135 Winter 2018 Tutorial 7: Accumulative Recursion and Binary Trees 1 Goals of this tutorial You should be able to... understand

More information

Shell CSCE 314 TAMU. Functions continued

Shell CSCE 314 TAMU. Functions continued 1 CSCE 314: Programming Languages Dr. Dylan Shell Functions continued 2 Outline Defining Functions List Comprehensions Recursion 3 A Function without Recursion Many functions can naturally be defined in

More information

Any questions. Say hello to OCaml. Say hello to OCaml. Why readability matters. History, Variants. Plan (next 4 weeks)

Any questions. Say hello to OCaml. Say hello to OCaml. Why readability matters. History, Variants. Plan (next 4 weeks) Any questions Say hello to OCaml? void sort(int arr[], int beg, int end){ if (end > beg + 1){ int piv = arr[beg]; int l = beg + 1; int r = end; while (l!= r-1){ if(arr[l]

More information

CS171 Midterm Exam. October 29, Name:

CS171 Midterm Exam. October 29, Name: CS171 Midterm Exam October 29, 2012 Name: You are to honor the Emory Honor Code. This is a closed-book and closed-notes exam. You have 50 minutes to complete this exam. Read each problem carefully, and

More information

Object-Oriented Design Lecture 23 CS 3500 Fall 2009 (Pucella) Tuesday, Dec 8, 2009

Object-Oriented Design Lecture 23 CS 3500 Fall 2009 (Pucella) Tuesday, Dec 8, 2009 Object-Oriented Design Lecture 23 CS 3500 Fall 2009 (Pucella) Tuesday, Dec 8, 2009 23 Odds and Ends In this lecture, I want to touch on a few topics that we did not have time to cover. 23.1 Factory Methods

More information

Adding Machine Run 2

Adding Machine Run 2 Calculator Run 1 Adding Machine Run 2 Simple Adder (define TOTAL 0) (define total-message (make-message (number->string TOTAL))) (define amount-text (make-text "Amount")) (define add-button (make-button

More information

CMP-326 Final Exam Fall 2013 Solutions Version 1

CMP-326 Final Exam Fall 2013 Solutions Version 1 Version 1 1. (10 Points) What is the output of the following code? notb ELSE A A public class Q1_1 { public static void main(string[] args) { foo(false, false); foo(false, true); foo(true, false); foo(true,

More information

Dynamic Data Types - Recursive Records

Dynamic Data Types - Recursive Records Dynamic Data Types - Recursive Records Example: class List { int hd; List tl ;} J.Carette (McMaster) CS 2S03 1 / 19 Dynamic Data Types - Recursive Records Example: class List { int hd; List tl ;} Note:

More information

15. Stacks and Queues

15. Stacks and Queues COMP1917 15s2 15. Stacks and Queues 1 COMP1917: Computing 1 15. Stacks and Queues Reading: Moffat, Section 10.1-10.2 Overview Stacks Queues Adding to the Tail of a List Efficiency Issues Queue Structure

More information

CIS 110 Introduction To Computer Programming. February 29, 2012 Midterm

CIS 110 Introduction To Computer Programming. February 29, 2012 Midterm CIS 110 Introduction To Computer Programming February 29, 2012 Midterm Name: Recitation # (e.g. 201): Pennkey (e.g. bjbrown): My signature below certifies that I have complied with the University of Pennsylvania

More information

Module 8: Local and functional abstraction

Module 8: Local and functional abstraction Module 8: Local and functional abstraction Readings: HtDP, Intermezzo 3 (Section 18); Sections 19-23. We will cover material on functional abstraction in a somewhat different order than the text. We will

More information

What does this print?

What does this print? public class Test_Static { int a; static int b; public Test_Static(int av, int bv) { a= av; b= bv; } public void print() { System.out.println ("a= " + a + " b= " + b); } public static void main (String

More information

Types of recursion. Structural vs. general recursion. Pure structural recursion. Readings: none. In this module: learn to use accumulative recursion

Types of recursion. Structural vs. general recursion. Pure structural recursion. Readings: none. In this module: learn to use accumulative recursion Types of recursion Readings: none. In this module: learn to use accumulative recursion learn to recognize generative recursion CS 135 Fall 2018 07: Types of recursion 1 Structural vs. general recursion

More information

A First Look At Java. Didactic Module 13 Programming Languages - EEL670 1

A First Look At Java. Didactic Module 13 Programming Languages - EEL670 1 A First Look At Java Didactic Module 13 Programming Languages - EEL670 1 Outline Thinking about objects Simple expressions and statements Class definitions About references and pointers Getting started

More information

CSE 114 Computer Science I

CSE 114 Computer Science I CSE 114 Computer Science I Iteration Cape Breton, Nova Scotia What is Iteration? Repeating a set of instructions a specified number of times or until a specific result is achieved How do we repeat steps?

More information

CMPSCI 187: Programming With Data Structures. Lecture #16: Thinking About Recursion David Mix Barrington 12 October 2012

CMPSCI 187: Programming With Data Structures. Lecture #16: Thinking About Recursion David Mix Barrington 12 October 2012 CMPSCI 187: Programming With Data Structures Lecture #16: Thinking About Recursion David Mix Barrington 12 October 2012 Thinking About Recursion Review of the Grid Class Recursion on Linked Structures

More information

COS 126 General Computer Science Spring Written Exam 1

COS 126 General Computer Science Spring Written Exam 1 COS 126 General Computer Science Spring 2017 Written Exam 1 This exam has 9 questions (including question 0) worth a total of 70 points. You have 50 minutes. Write all answers inside the designated spaces.

More information

CSE 413 Winter 2001 Midterm Exam

CSE 413 Winter 2001 Midterm Exam Name ID # Score 1 2 3 4 5 6 7 8 There are 8 questions worth a total of 75 points. Please budget your time so you get to all of the questions. Keep your answers brief and to the point. You may refer to

More information

OCaml. History, Variants. ML s holy trinity. Interacting with ML. Base type: Integers. Base type: Strings. *Notes from Sorin Lerner at UCSD*

OCaml. History, Variants. ML s holy trinity. Interacting with ML. Base type: Integers. Base type: Strings. *Notes from Sorin Lerner at UCSD* OCaml 1. Introduction Rapid introduction to what s in OCaml 2. Focus on Features Individually as Needed as Semester Progresses *Notes from Sorin Lerner at UCSD* History, Variants Meta Language Designed

More information

16 Multiple Inheritance and Extending ADTs

16 Multiple Inheritance and Extending ADTs Object-Oriented Design Lecture 16 CS 3500 Fall 2009 (Pucella) Tuesday, Nov 10, 2009 16 Multiple Inheritance and Extending ADTs We looked last time at inheritance and delegation as two ways to reuse implementation

More information

UNIVERSITY OF WATERLOO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING E&CE 250 ALGORITHMS AND DATA STRUCTURES

UNIVERSITY OF WATERLOO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING E&CE 250 ALGORITHMS AND DATA STRUCTURES UNIVERSITY OF WATERLOO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING E&CE 250 ALGORITHMS AND DATA STRUCTURES Midterm Examination Douglas Wilhelm Harder 1.5 hrs, 2005/02/17 11 pages Name (last, first):

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

Homework 8: Matrices Due: 11:59 PM, Oct 30, 2018

Homework 8: Matrices Due: 11:59 PM, Oct 30, 2018 CS17 Integrated Introduction to Computer Science Klein Homework 8: Matrices Due: 11:59 PM, Oct 30, 2018 Contents 1 Reverse (Practice) 4 2 Main Diagonal (Practice) 5 3 Horizontal Flip 6 4 Vertical Flip

More information

Recursion. Chapter 11. Chapter 11 1

Recursion. Chapter 11. Chapter 11 1 Recursion Chapter 11 Chapter 11 1 Reminders Project 6 is over. Project 7 has begun Start on time! Not much code for milestone, but a great deal of thought Chapter 11 2 Exam 2 Problem Problems Problem 2)

More information

2/22/2013 LISTS & TREES

2/22/2013 LISTS & TREES LISTS & TREES Lecture 9 CS2110 Spring 2013 1 List Overview 2 Purpose Maintain an ordered collection of elements (with possible duplication) Common operations Create a list Access elements of a list sequentially

More information

l Determine if a number is odd or even l Determine if a number/character is in a range - 1 to 10 (inclusive) - between a and z (inclusive)

l Determine if a number is odd or even l Determine if a number/character is in a range - 1 to 10 (inclusive) - between a and z (inclusive) Final Exam Exercises Chapters 1-7 + 11 Write C++ code to: l Determine if a number is odd or even CS 2308 Fall 2016 Jill Seaman l Determine if a number/character is in a range - 1 to 10 (inclusive) - between

More information

So what does studying PL buy me?

So what does studying PL buy me? So what does studying PL buy me? Enables you to better choose the right language but isn t that decided by libraries, standards, and my boss? Yes. Chicken-and-egg. My goal: educate tomorrow s tech leaders

More information

Repetition Through Recursion

Repetition Through Recursion Fundamentals of Computer Science I (CS151.02 2007S) Repetition Through Recursion Summary: In many algorithms, you want to do things again and again and again. For example, you might want to do something

More information

CS 139 Practice Midterm Questions #2

CS 139 Practice Midterm Questions #2 CS 139 Practice Midterm Questions #2 Spring 2016 Name: 1. Write Java statements to accomplish each of the following. (a) Declares numbers to be an array of int s. (b) Initializes numbers to contain a reference

More information

In this lecture Simple List Algorithms

In this lecture Simple List Algorithms In this lecture Simple List Algorithms 15-211 Fundamental Data Structures and Algorithms Ananda Guna & Klaus Sutner January 16, 2003 Based on lectures given by Peter Lee, Avrim Blum, Danny Sleator, William

More information

Programming Languages

Programming Languages CSE 130 : Fall 2008 Programming Languages Lecture 2: A Crash Course in ML Ranjit Jhala UC San Diego News On webpage: Suggested HW #1, sample for Quiz #1 on Thu PA #1 (due next Fri 10/10) No make-up quizzes

More information

CS 367: Introduction to Data Structures Midterm Sample Questions

CS 367: Introduction to Data Structures Midterm Sample Questions LAST NAME (PRINT): FIRST NAME (PRINT): CS 367: Introduction to Data Structures Midterm Sample Questions Friday, July 14 th 2017. 100 points (26% of final grade) Instructor: Meena Syamkumar 1. Fill in these

More information

Scheme Quick Reference

Scheme Quick Reference Scheme Quick Reference COSC 18 Winter 2003 February 10, 2003 1 Introduction This document is a quick reference guide to common features of the Scheme language. It is by no means intended to be a complete

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

Background. CMSC 330: Organization of Programming Languages. Useful Information on OCaml language. Dialects of ML. ML (Meta Language) Standard ML

Background. CMSC 330: Organization of Programming Languages. Useful Information on OCaml language. Dialects of ML. ML (Meta Language) Standard ML CMSC 330: Organization of Programming Languages Functional Programming with OCaml 1 Background ML (Meta Language) Univ. of Edinburgh, 1973 Part of a theorem proving system LCF The Logic of Computable Functions

More information

Repetition CSC 121 Fall 2014 Howard Rosenthal

Repetition CSC 121 Fall 2014 Howard Rosenthal Repetition CSC 121 Fall 2014 Howard Rosenthal Lesson Goals Learn the following three repetition methods, their similarities and differences, and how to avoid common errors when using them: while do-while

More information

1 The smallest free number

1 The smallest free number 1 The smallest free number Introduction Consider the problem of computing the smallest natural number not in a given finite set X of natural numbers. The problem is a simplification of a common programming

More information

Types of recursion. Readings: none. In this module: a glimpse of non-structural recursion. CS 135 Winter : Types of recursion 1

Types of recursion. Readings: none. In this module: a glimpse of non-structural recursion. CS 135 Winter : Types of recursion 1 Types of recursion Readings: none. In this module: a glimpse of non-structural recursion CS 135 Winter 2018 07: Types of recursion 1 Structural vs. general recursion All of the recursion we have done to

More information

Programming Languages

Programming Languages CSE 130: Spring 2010 Programming Languages Lecture 2: A Crash Course in ML Ranjit Jhala UC San Diego News On webpage: Suggested HW #1 PA #1 (due next Wed 4/9) Please post questions to WebCT Today: A crash

More information

Announcements. Prelude (2) Prelude (1) Data Structures and Information Systems Part 1: Data Structures. Lecture 6: Lists.

Announcements. Prelude (2) Prelude (1) Data Structures and Information Systems Part 1: Data Structures. Lecture 6: Lists. Announcements MODULE WEB-SITE: http://www.csc.liv.ac.uk/ michele/teaching/comp102/comp102.html FIRST ASSIGNMENT DEADLINE: Wednesday, February 1st, 14.30, LAB 7 Boxes (late submissions to be left in the

More information

CSE 413 Midterm, May 6, 2011 Sample Solution Page 1 of 8

CSE 413 Midterm, May 6, 2011 Sample Solution Page 1 of 8 Question 1. (12 points) For each of the following, what value is printed? (Assume that each group of statements is executed independently in a newly reset Scheme environment.) (a) (define x 1) (define

More information

Good Luck! CSC207, Fall 2012: Quiz 3 Duration 25 minutes Aids allowed: none. Student Number: Lecture Section: L0101. Instructor: Horton

Good Luck! CSC207, Fall 2012: Quiz 3 Duration 25 minutes Aids allowed: none. Student Number: Lecture Section: L0101. Instructor: Horton CSC207, Fall 2012: Quiz 3 Duration 25 minutes Aids allowed: none Student Number: Last Name: Lecture Section: L0101 First Name: Instructor: Horton Please fill out the identification section above as well

More information

An Introduction to Queues With Examples in C++

An Introduction to Queues With Examples in C++ An Introduction to Queues With Examples in C++ Prof. David Bernstein James Madison University Computer Science Department bernstdh@jmu.edu Motivation Queues are very straightforward but are slightly more

More information

Lists. Michael P. Fourman. February 2, 2010

Lists. Michael P. Fourman. February 2, 2010 Lists Michael P. Fourman February 2, 2010 1 Introduction The list is a fundamental datatype in most functional languages. ML is no exception; list is a built-in ML type constructor. However, to introduce

More information

2.8. Decision Making: Equality and Relational Operators

2.8. Decision Making: Equality and Relational Operators Page 1 of 6 [Page 56] 2.8. Decision Making: Equality and Relational Operators A condition is an expression that can be either true or false. This section introduces a simple version of Java's if statement

More information

Programming Languages and Techniques (CIS120)

Programming Languages and Techniques (CIS120) Programming Languages and Techniques (CIS120) Lecture 3 September 5, 2018 Value-Oriented Programming (continued) Lists and Recursion CIS 120 Announcements Homework 1: OCaml Finger Exercises Due: Tuesday

More information

Efficiency and Recursion. We determine the efficiency of an algorithm by seeing by how much the algorithm s runtime varies with the problem size.

Efficiency and Recursion. We determine the efficiency of an algorithm by seeing by how much the algorithm s runtime varies with the problem size. Efficiency and Recursion Key Idea: We determine the efficiency of an algorithm by seeing by how much the algorithm s runtime varies with the problem size. public static boolean hasduplicates(int[] a) {

More information

Introduction to ACL2. CS 680 Formal Methods for Computer Verification. Jeremy Johnson Drexel University

Introduction to ACL2. CS 680 Formal Methods for Computer Verification. Jeremy Johnson Drexel University Introduction to ACL2 CS 680 Formal Methods for Computer Verification Jeremy Johnson Drexel University ACL2 www.cs.utexas.edu/~moore/acl2 ACL2 is a programming language, logic, and theorem prover/checker

More information