Wednesday, November 15, 2017

Size: px
Start display at page:

Download "Wednesday, November 15, 2017"

Transcription

1 Wednesday, November 15, 2017 Topics for today Code generation Synthesis Algorithm 5: tree to code Optimizations Code generation Algorithm 5: generating assembly code Visiting all the nodes in a linked list is easy. We start at the beginning and move node-by-node to the end. Note that a list can be viewed as a recursive structure because it is made up of a head (the first node) and tail the rest of the list. The tail is also a list. Thus we could write a function to print a list recursively as follows: void printlist (listnode *L) if (L!= NULL) output (L->data); printlist(l->next); If we want to print the list backwards, it is quite tricky to do with iteration but a recursive solution is simple: void printlistbackwards (listnode *L) if (L!= NULL) printlistbackwards(l->next); output (L->data); A binary tree can also be regarded as a recursive structure. It consists of a root node and (possibly empty) left and right sub-trees each of which in turn is a binary tree. A "tree traversal" is a systematic visiting of all the nodes in a tree. Three common traversals are characterized by the order in which they visit the left and right sub-trees and the root node. Comp 162 Notes Page 1 of 10 November 15, 2017

2 Preorder: Inorder: Postorder: root, left, right left, root, right left, right, root. The ordering is applied recursively to the sub-trees of the tree. For example if the tree is t w x h b a r j m A preorder traversal visits the nodes in this order: t w h b x a r j m An inorder traversal visits the nodes in this order: h w b t a x j r m A postorder traversal visits the nodes in this order: h b w a j m r x t Comp 162 Notes Page 2 of 10 November 15, 2017

3 Algorithm 5 Consider the binary expression tree that we have constructed by processing an arithmetic expression with Algorithm 4. We can traverse this tree and output appropriate instruction sequences for our target machine (in this case Pep/9). In the example that follows we assume that there is a MUL and a DIV instruction for * and / respectively. The sequence of instructions uses the Pep/9 user stack to evaluate the expression because, unlike the set of registers, this is virtually unlimited in size. For example, if the binary expression tree is X + Y We generate ; next three lines from leaf X ldwa X,d ; next three lines from leaf Y ldwa Y,d ; next four lines from operator + adda 2,s When this sequence is executed on the Pep/9 machine we end up with the value of the expression as the top item on the Pep/9 stack. You can see from this example that the traversal we need is postorder (left, right, root). Because the same ordering is used within subtrees, tree traversal algorithms are often recursive. This is illustrated in the following C function generate that outputs assembly language from a given expression tree. It assumes that nodetype is 1 for operator, 2 for an identifier and 3 for a constant subroutines MUL, DIV and EXP can be called to perform multiplication, division and exponentiation operations. Comp 162 Notes Page 3 of 10 November 15, 2017

4 void generate (TREENODE *T) if (T!= NULL) if ( T->left==NULL) // leaf printf("\n"); if (T->nodetype==2) printf("ldwa %c,d\n",t->id); else printf("ldwa %d,i\n",t->number); printf("sta 0,s\n"); else generate(t->left); generate(t->right); if (T->nodetype==1 && (T->operatorsymbol == '+' T->operatorsymbol == '-')) printf("\n"); if (T->operatorsymbol == '+') printf("\n"); if (T->operatorsymbol == '-') printf("suba 2,s\n"); printf("\n"); printf("\n"); else if (T->nodetype==1 && (T->operatorsymbol == '*' T->operatorsymbol == '/' T->operatorsymbol == '^')) if (T->operatorsymbol == '*') printf("call MUL\n"); if (T->operatorsymbol == '/') printf("call DIV\n"); if (T->operatorsymbol == '^') printf("call EXP\n"); printf("\n"); The tree generated from assignment X = A + ( B + C ) * ( D + E ) Comp 162 Notes Page 4 of 10 November 15, 2017

5 is = X + A * + + B C D E In our implementation, because of the way that pointers in nodes are actually assigned, the code generated begins ldwa e,d ldwa d,d If we substitute a call to a MUL subroutine in place of the MULr instruction then the complete sequence contains 32 instructions: 3 generated from each of the 5 leaves/operands 4 generated from each of the 3 + operators 2 generated from the * operator ( call to MUL) 3 for the assignment and tidy up of stack Comp 162 Notes Page 5 of 10 November 15, 2017

6 Optimization There is clearly scope for an optimizer to improve the code generated from Algorithm 5. Some possibilities are: (1) Removing redundant LOAD instructions (2) Combining (eliminating) consecutive SP changes (3) Taking a wider view of stack operations (4) Performing arithmetic at tree-build time (1) Removing redundant load instructions. Sometimes our code generator will output a LOAD from a location to which we have just issued a STORE (see line 7 in the example above). The LOAD can be eliminated. (2) Combining/eliminating consecutive SP changes The translation of x=a*b+c*d includes the following 5-line fragment call MUL ldwa b,d Both changes to SP can be removed. In general, changes to SP on consecutive lines can be combined and if the net change is zero, they can be eliminated. (3) Combining SP operations with a wider view Example optimization (1) and (2) only require the optimizer to look at small sections of assembly code (perhaps two or three lines). By looking at larger sections, further savings might be possible. For example, the beginning of the translation of x=a*b+c*d is ldwa d,d ldwa c,d which can be simplified to subsp 4,i ldwa d,d ldwa c,d Comp 162 Notes Page 6 of 10 November 15, 2017

7 (4) When we build the tree, there may be instances in which we apply an operator to two constants. We can perform the arithmetic operation at tree build time and replace the subtree by a node containing the value. Optimizations (1) and (2) have been implemented as shown in the following example. $ codegen "x=a+5*b+7" $ codegen " x=a+5*b+7" optimizer ldwa 7,i ldwa b,d ldwa 5,i call MUL ldwa a,d stwa x,d ldwa 7,i ldwa b,d ldwa 5,i call MUL ldwa a,d stwa x,d Comp 162 Notes Page 7 of 10 November 15, 2017

8 Optimization (4) has been built in as a o option in the code-generating program 1 codegen x=y+4*6 codegen o x=y+4*6 codegen-o x=y+4*6 optimizer ldwa 6,i ldwa 4,i call MUL ldwa y,d stwa x,d ldwa 24,i ldwa y,d stwa x,d ldwa 24,i ldwa y,d stwa x,d Reading Next we will look at topics in Chapter 8. 1 int main(int argc, char* argv[]) char buffer[50], expression[50]; int idx, optimization = FALSE, goodbuild; // check for presence of optimization flag "-o" for (idx=1; idx<argc; idx++) if (strcmp(argv[idx],"-o")==0) optimization=true; Comp 162 Notes Page 8 of 10 November 15, 2017

9 Review Questions 1. Consider an expression tree and the code generated from it. What is the upper bound on the size of the stack as the code runs? 2. Consider an expression tree and the code generated from it. How can you calculate the actual maximum size of the stack when the code is run? 3. Consider an expression tree. How can we determine if the code (and the stack when it runs) will fit in memory? 4. How could you use the answer to Question 2 to, possibly, reduce further the number of instructions in the generated code? 5. What checks should be added to the section of the code generator when it performs arithmetic during tree-build and why? Comp 162 Notes Page 9 of 10 November 15, 2017

10 Review Answers 1. Count the number of operands in the tree and multiply by 2 (bytes). The highest stack would result when all operands are pushed first then the operators applied. 2. Set variable stack-height to 0. Traverse the tree in the same order as the code generator. At each operand, increase stack-height by 2 and at each operator decrease stack-height by 2. Remember highest value. 3. Calculate maximum stack as in Question 2. Code size can be summed during the tree traversal. Code-size initially 0 At each operand add 9 bytes (3 3-byte instructions). At each operator, add 12 bytes (4 3-byte instructions). Code-size plus stack-height should be less than Allocate all needed stack space at the beginning of the code and deallocate at the end. Make appropriate adjustments to the stack addressing. 5. Pep/9 is a 16-bit machine; the code generator may be running on a system with a longer word length so add checks for results outside the 16-bit range ( to 32767). Also for division by zero. Comp 162 Notes Page 10 of 10 November 15, 2017

Monday, April 15, We will lead up to the Analysis and Synthesis algorithms involved by first looking at three simpler ones.

Monday, April 15, We will lead up to the Analysis and Synthesis algorithms involved by first looking at three simpler ones. Monday, pril 15, 2013 Topics for today Code generation nalysis lgorithm 1: evaluation of postfix lgorithm 2: infix to postfix lgorithm 3: evaluation of infix lgorithm 4: infix to tree Synthesis lgorithm

More information

Wednesday, April 16, 2014

Wednesday, April 16, 2014 Wednesday, pril 16, 2014 Topics for today Homework #5 solutions Code generation nalysis lgorithm 4: infix to tree Synthesis lgorithm 5: tree to code Optimization HW #5 solutions 1. lda 0,i ; for sum of

More information

Wednesday, September 27, 2017

Wednesday, September 27, 2017 Wednesday, September 27, 2017 Topics for today Chapter 6: Mapping High-level to assembly-level The Pep/9 run-time stack (6.1) Stack-relative addressing (,s) SP manipulation Stack as scratch space Global

More information

Chapter 20: Binary Trees

Chapter 20: Binary Trees Chapter 20: Binary Trees 20.1 Definition and Application of Binary Trees Definition and Application of Binary Trees Binary tree: a nonlinear linked list in which each node may point to 0, 1, or two other

More information

Also, recursive methods are usually declared private, and require a public non-recursive method to initiate them.

Also, recursive methods are usually declared private, and require a public non-recursive method to initiate them. Laboratory 11: Expression Trees and Binary Search Trees Introduction Trees are nonlinear objects that link nodes together in a hierarchical fashion. Each node contains a reference to the data object, a

More information

Monday, October 17, 2016

Monday, October 17, 2016 Monday, October 17, 2016 Topics for today C functions and Pep/8 subroutines Passing parameters by reference Globals Locals Reverse Engineering II Representation of Booleans C Functions and Pep/8 Subroutines

More information

Abstract Data Structures IB Computer Science. Content developed by Dartford Grammar School Computer Science Department

Abstract Data Structures IB Computer Science. Content developed by Dartford Grammar School Computer Science Department Abstract Data Structures IB Computer Science Content developed by Dartford Grammar School Computer Science Department HL Topics 1-7, D1-4 1: System design 2: Computer Organisation 3: Networks 4: Computational

More information

Monday, March 9, 2015

Monday, March 9, 2015 Monday, March 9, 2015 Topics for today C functions and Pep/8 subroutines Passing parameters by reference Globals Locals More reverse engineering: Pep/8 to C Representation of Booleans C Functions and Pep/8

More information

Wednesday, February 28, 2018

Wednesday, February 28, 2018 Wednesday, February 28, 2018 Topics for today C functions and Pep/9 subroutines Introduction Location of subprograms in a program Translating functions (a) Void functions (b) Void functions with parameters

More information

Monday, March 13, 2017

Monday, March 13, 2017 Monday, March 13, 2017 Topics for today Arrays and Indexed Addressing Global arrays Local arrays Buffer exploit attacks Arrays and indexed addressing (section 6.4) So far we have looked at scalars (int,

More information

Section 5.5. Left subtree The left subtree of a vertex V on a binary tree is the graph formed by the left child L of V, the descendents

Section 5.5. Left subtree The left subtree of a vertex V on a binary tree is the graph formed by the left child L of V, the descendents Section 5.5 Binary Tree A binary tree is a rooted tree in which each vertex has at most two children and each child is designated as being a left child or a right child. Thus, in a binary tree, each vertex

More information

MULTIMEDIA COLLEGE JALAN GURNEY KIRI KUALA LUMPUR

MULTIMEDIA COLLEGE JALAN GURNEY KIRI KUALA LUMPUR STUDENT IDENTIFICATION NO MULTIMEDIA COLLEGE JALAN GURNEY KIRI 54100 KUALA LUMPUR FIFTH SEMESTER FINAL EXAMINATION, 2014/2015 SESSION PSD2023 ALGORITHM & DATA STRUCTURE DSEW-E-F-2/13 25 MAY 2015 9.00 AM

More information

CSI33 Data Structures

CSI33 Data Structures Outline Department of Mathematics and Computer Science Bronx Community College November 13, 2017 Outline Outline 1 C++ Supplement.1: Trees Outline C++ Supplement.1: Trees 1 C++ Supplement.1: Trees Uses

More information

Wednesday, November 8, 2017

Wednesday, November 8, 2017 Wednesday, November 8, 207 Topics for today Grammars and Languages (hapter 7) Finite State Machines Semantic actions ode generation - Overview Finite State Machines (see 7.2) If a language is regular (Type

More information

Binary Tree. Binary tree terminology. Binary tree terminology Definition and Applications of Binary Trees

Binary Tree. Binary tree terminology. Binary tree terminology Definition and Applications of Binary Trees Binary Tree (Chapter 0. Starting Out with C++: From Control structures through Objects, Tony Gaddis) Le Thanh Huong School of Information and Communication Technology Hanoi University of Technology 11.1

More information

Monday, March 6, We have seen how to translate void functions. What about functions that return a value such as

Monday, March 6, We have seen how to translate void functions. What about functions that return a value such as Monday, March 6, 2017 Topics for today C functions and Pep/9 subroutines Translating functions (c) Non-void functions (d) Recursive functions Reverse Engineering: Pep/9 to C C Functions and Pep/9 Subroutines

More information

Wednesday, March 14, 2018

Wednesday, March 14, 2018 Wednesday, March 14, 2018 Topics for today Arrays and Indexed Addressing Arrays as parameters of functions Multi-dimensional arrays Option A: Space-minimal solution Option B: Iliffe vectors Array bound

More information

Binary Trees

Binary Trees Binary Trees 4-7-2005 Opening Discussion What did we talk about last class? Do you have any code to show? Do you have any questions about the assignment? What is a Tree? You are all familiar with what

More information

March 20/2003 Jayakanth Srinivasan,

March 20/2003 Jayakanth Srinivasan, Definition : A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges. Definition : In a multigraph G = (V, E) two or

More information

Why Do We Need Trees?

Why Do We Need Trees? CSE 373 Lecture 6: Trees Today s agenda: Trees: Definition and terminology Traversing trees Binary search trees Inserting into and deleting from trees Covered in Chapter 4 of the text Why Do We Need Trees?

More information

Monday, April 9, 2018

Monday, April 9, 2018 Monday, April 9, 208 Topics for today Grammars and Languages (Chapter 7) Finite State Machines Semantic actions Code generation Overview Finite State Machines (see 7.2) If a language is regular (Type 3)

More information

Programming II (CS300)

Programming II (CS300) 1 Programming II (CS300) Chapter 11: Binary Search Trees MOUNA KACEM mouna@cs.wisc.edu Fall 2018 General Overview of Data Structures 2 Introduction to trees 3 Tree: Important non-linear data structure

More information

CS350: Data Structures Tree Traversal

CS350: Data Structures Tree Traversal Tree Traversal James Moscola Department of Engineering & Computer Science York College of Pennsylvania James Moscola Defining Trees Recursively Trees can easily be defined recursively Definition of a binary

More information

An Introduction to Trees

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

More information

CSCI-401 Examlet #5. Name: Class: Date: True/False Indicate whether the sentence or statement is true or false.

CSCI-401 Examlet #5. Name: Class: Date: True/False Indicate whether the sentence or statement is true or false. Name: Class: Date: CSCI-401 Examlet #5 True/False Indicate whether the sentence or statement is true or false. 1. The root node of the standard binary tree can be drawn anywhere in the tree diagram. 2.

More information

Monday, March 27, 2017

Monday, March 27, 2017 Monday, March 27, 2017 Topics for today Indexed branching Implementation of switch statement Reusable subroutines Indexed branching It turns out that arrays are useful in translating other language constructs,

More information

CP2 Revision. theme: dynamic datatypes & data structures

CP2 Revision. theme: dynamic datatypes & data structures CP2 Revision theme: dynamic datatypes & data structures structs can hold any combination of datatypes handled as single entity struct { }; ;

More information

Trees. (Trees) Data Structures and Programming Spring / 28

Trees. (Trees) Data Structures and Programming Spring / 28 Trees (Trees) Data Structures and Programming Spring 2018 1 / 28 Trees A tree is a collection of nodes, which can be empty (recursive definition) If not empty, a tree consists of a distinguished node r

More information

Lecture No.04. Data Structures

Lecture No.04. Data Structures Lecture No.04 Data Structures Josephus Problem #include "CList.cpp" void main(int argc, char *argv[]) { CList list; int i, N=10, M=3; for(i=1; i

More information

! Tree: set of nodes and directed edges. ! Parent: source node of directed edge. ! Child: terminal node of directed edge

! Tree: set of nodes and directed edges. ! Parent: source node of directed edge. ! Child: terminal node of directed edge Trees & Heaps Week 12 Gaddis: 20 Weiss: 21.1-3 CS 5301 Fall 2018 Jill Seaman!1 Tree: non-recursive definition! Tree: set of nodes and directed edges - root: one node is distinguished as the root - Every

More information

Binary Trees, Binary Search Trees

Binary Trees, Binary Search Trees Binary Trees, Binary Search Trees Trees Linear access time of linked lists is prohibitive Does there exist any simple data structure for which the running time of most operations (search, insert, delete)

More information

Linked List using a Sentinel

Linked List using a Sentinel Linked List using a Sentinel Linked List.h / Linked List.h Using a sentinel for search Created by Enoch Hwang on 2/1/10. Copyright 2010 La Sierra University. All rights reserved. / #include

More information

Wednesday, February 7, 2018

Wednesday, February 7, 2018 Wednesday, February 7, 2018 Topics for today The Pep/9 memory Four example programs The loader The assembly language level (Chapter 5) Symbolic Instructions Assembler directives Immediate mode and equate

More information

Binary Trees and Binary Search Trees

Binary Trees and Binary Search Trees Binary Trees and Binary Search Trees Learning Goals After this unit, you should be able to... Determine if a given tree is an instance of a particular type (e.g. binary, and later heap, etc.) Describe

More information

Data Structure Advanced

Data Structure Advanced Data Structure Advanced 1. Is it possible to find a loop in a Linked list? a. Possilbe at O(n) b. Not possible c. Possible at O(n^2) only d. Depends on the position of loop Solution: a. Possible at O(n)

More information

Wednesday, February 15, 2017

Wednesday, February 15, 2017 Wednesday, February 15, 2017 Topics for today Before and after assembly: Macros, Linkers Overview of Chapter 6 Branching Unconditional Status bits and branching If statements While statements The V and

More information

! Tree: set of nodes and directed edges. ! Parent: source node of directed edge. ! Child: terminal node of directed edge

! Tree: set of nodes and directed edges. ! Parent: source node of directed edge. ! Child: terminal node of directed edge Trees (& Heaps) Week 12 Gaddis: 20 Weiss: 21.1-3 CS 5301 Spring 2015 Jill Seaman 1 Tree: non-recursive definition! Tree: set of nodes and directed edges - root: one node is distinguished as the root -

More information

Binary Trees. BSTs. For example: Jargon: Data Structures & Algorithms. root node. level: internal node. edge.

Binary Trees. BSTs. For example: Jargon: Data Structures & Algorithms. root node. level: internal node. edge. Binary Trees 1 A binary tree is either empty, or it consists of a node called the root together with two binary trees called the left subtree and the right subtree of the root, which are disjoint from

More information

Friday Four Square! 4:15PM, Outside Gates

Friday Four Square! 4:15PM, Outside Gates Binary Search Trees Friday Four Square! 4:15PM, Outside Gates Implementing Set On Monday and Wednesday, we saw how to implement the Map and Lexicon, respectively. Let's now turn our attention to the Set.

More information

Trees: examples (Family trees)

Trees: examples (Family trees) Ch 4: Trees it s a jungle out there... I think that I will never see a linked list useful as a tree; Linked lists are used by everybody, but it takes real smarts to do a tree Trees: examples (Family trees)

More information

TREES. Trees - Introduction

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

More information

Data Structures. Trees. By Dr. Mohammad Ali H. Eljinini. M.A. Eljinini, PhD

Data Structures. Trees. By Dr. Mohammad Ali H. Eljinini. M.A. Eljinini, PhD Data Structures Trees By Dr. Mohammad Ali H. Eljinini Trees Are collections of items arranged in a tree like data structure (none linear). Items are stored inside units called nodes. However: We can use

More information

INF2220: algorithms and data structures Series 1

INF2220: algorithms and data structures Series 1 Universitetet i Oslo Institutt for Informatikk A. Maus, R.K. Runde, I. Yu INF2220: algorithms and data structures Series 1 Topic Trees & estimation of running time (Exercises with hints for solution) Issued:

More information

A. Year / Module Semester Subject Topic 2016 / V 2 PCD Pointers, Preprocessors, DS

A. Year / Module Semester Subject Topic 2016 / V 2 PCD Pointers, Preprocessors, DS Syllabus: Pointers and Preprocessors: Pointers and address, pointers and functions (call by reference) arguments, pointers and arrays, address arithmetic, character pointer and functions, pointers to pointer,initialization

More information

Tree traversals and binary trees

Tree traversals and binary trees Tree traversals and binary trees Comp Sci 1575 Data Structures Valgrind Execute valgrind followed by any flags you might want, and then your typical way to launch at the command line in Linux. Assuming

More information

EE 368. Week 6 (Notes)

EE 368. Week 6 (Notes) EE 368 Week 6 (Notes) 1 Expression Trees Binary trees provide an efficient data structure for representing expressions with binary operators. Root contains the operator Left and right children contain

More information

Binary Trees. Height 1

Binary Trees. Height 1 Binary Trees Definitions A tree is a finite set of one or more nodes that shows parent-child relationship such that There is a special node called root Remaining nodes are portioned into subsets T1,T2,T3.

More information

Binary Trees. Examples:

Binary Trees. Examples: Binary Trees A tree is a data structure that is made of nodes and pointers, much like a linked list. The difference between them lies in how they are organized: In a linked list each node is connected

More information

C Data Structures Stacks. Stack. push Adds a new node to the top of the stack

C Data Structures Stacks. Stack. push Adds a new node to the top of the stack 1 12 C Data Structures 12.5 Stacks 2 Stack New nodes can be added and removed only at the top Similar to a pile of dishes Last-in, first-out (LIFO) Bottom of stack indicated by a link member to NULL Constrained

More information

CSC 221: Computer Organization, Spring 2009

CSC 221: Computer Organization, Spring 2009 1 of 7 4/17/2009 10:52 AM Overview Schedule Resources Assignments Home CSC 221: Computer Organization, Spring 2009 Practice Exam 2 Solutions The exam will be open-book, so that you don't have to memorize

More information

Advanced Java Concepts Unit 5: Trees. Notes and Exercises

Advanced Java Concepts Unit 5: Trees. Notes and Exercises Advanced Java Concepts Unit 5: Trees. Notes and Exercises A Tree is a data structure like the figure shown below. We don t usually care about unordered trees but that s where we ll start. Later we will

More information

Stacks, Queues and Hierarchical Collections

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

More information

Tree: non-recursive definition. Trees, Binary Search Trees, and Heaps. Tree: recursive definition. Tree: example.

Tree: non-recursive definition. Trees, Binary Search Trees, and Heaps. Tree: recursive definition. Tree: example. Trees, Binary Search Trees, and Heaps CS 5301 Fall 2013 Jill Seaman Tree: non-recursive definition Tree: set of nodes and directed edges - root: one node is distinguished as the root - Every node (except

More information

Revision Statement while return growth rate asymptotic notation complexity Compare algorithms Linear search Binary search Preconditions: sorted,

Revision Statement while return growth rate asymptotic notation complexity Compare algorithms Linear search Binary search Preconditions: sorted, [1] Big-O Analysis AVERAGE(n) 1. sum 0 2. i 0. while i < n 4. number input_number(). sum sum + number 6. i i + 1 7. mean sum / n 8. return mean Revision Statement no. of times executed 1 1 2 1 n+1 4 n

More information

Abstract Data Structures IB Computer Science. Content developed by Dartford Grammar School Computer Science Department

Abstract Data Structures IB Computer Science. Content developed by Dartford Grammar School Computer Science Department Abstract Data Structures IB Computer Science Content developed by Dartford Grammar School Computer Science Department HL Topics 1-7, D1-4 1: System design 2: Computer Organisation 3: Networks 4: Computational

More information

Computer Science /21/2000

Computer Science /21/2000 Computer Science 126 01/21/2000 Final Exam with Answers 1:30-4:30pm 1. Linked Lists and Recursion [11] This is based on final review question #6. Assume the following linked list definition. typedef struct

More information

CE 221 Data Structures and Algorithms

CE 221 Data Structures and Algorithms CE 221 Data Structures and Algorithms Chapter 4: Trees (Binary) Text: Read Weiss, 4.1 4.2 Izmir University of Economics 1 Preliminaries - I (Recursive) Definition: A tree is a collection of nodes. The

More information

BSc (Hons) Computer Science. with Network Security. Examinations for / Semester1

BSc (Hons) Computer Science. with Network Security. Examinations for / Semester1 BSc (Hons) Computer Science with Network Security Cohort: BCNS/15B/FT Examinations for 2015-2016 / Semester1 MODULE: PROGRAMMING CONCEPT MODULE CODE: PROG 1115C Duration: 3 Hours Instructions to Candidates:

More information

Data Structures. Binary Trees. Root Level = 0. number of leaves:?? leaves Depth (Maximum level of the tree) leaves or nodes. Level=1.

Data Structures. Binary Trees. Root Level = 0. number of leaves:?? leaves Depth (Maximum level of the tree) leaves or nodes. Level=1. Data Structures inary Trees number of leaves:?? height leaves Depth (Maximum level of the tree) leaves or nodes Root Level = 0 Level=1 57 feet root 2 Level=2 Number of nodes: 2 (2+1) - 1 = 7 2 inary Trees

More information

9/26/2018 Data Structure & Algorithm. Assignment04: 3 parts Quiz: recursion, insertionsort, trees Basic concept: Linked-List Priority queues Heaps

9/26/2018 Data Structure & Algorithm. Assignment04: 3 parts Quiz: recursion, insertionsort, trees Basic concept: Linked-List Priority queues Heaps 9/26/2018 Data Structure & Algorithm Assignment04: 3 parts Quiz: recursion, insertionsort, trees Basic concept: Linked-List Priority queues Heaps 1 Quiz 10 points (as stated in the first class meeting)

More information

Lecture 37 Section 9.4. Wed, Apr 22, 2009

Lecture 37 Section 9.4. Wed, Apr 22, 2009 Preorder Inorder Postorder Lecture 37 Section 9.4 Hampden-Sydney College Wed, Apr 22, 2009 Outline Preorder Inorder Postorder 1 2 3 Preorder Inorder Postorder 4 Preorder Inorder Postorder Definition (Traverse)

More information

Stacks, Queues and Hierarchical Collections. 2501ICT Logan

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

More information

Advanced Java Concepts Unit 5: Trees. Notes and Exercises

Advanced Java Concepts Unit 5: Trees. Notes and Exercises dvanced Java Concepts Unit 5: Trees. Notes and Exercises Tree is a data structure like the figure shown below. We don t usually care about unordered trees but that s where we ll start. Later we will focus

More information

We have the pointers reference the next node in an inorder traversal; called threads

We have the pointers reference the next node in an inorder traversal; called threads Leaning Objective: In this Module you will be learning the following: Threaded Binary Tree Introduction: Threaded Binary Tree is also a binary tree in which all left child pointers that are NULL (in Linked

More information

IX. Binary Trees (Chapter 10)

IX. Binary Trees (Chapter 10) IX. Binary Trees (Chapter 10) -1- A. Introduction: Searching a linked list. 1. Linear Search /* To linear search a list for a particular Item */ 1. Set Loc = 0; 2. Repeat the following: a. If Loc >= length

More information

ECE250: Algorithms and Data Structures Midterm Review

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

More information

CISC 235 Topic 3. General Trees, Binary Trees, Binary Search Trees

CISC 235 Topic 3. General Trees, Binary Trees, Binary Search Trees CISC 235 Topic 3 General Trees, Binary Trees, Binary Search Trees Outline General Trees Terminology, Representation, Properties Binary Trees Representations, Properties, Traversals Recursive Algorithms

More information

3137 Data Structures and Algorithms in C++

3137 Data Structures and Algorithms in C++ 3137 Data Structures and Algorithms in C++ Lecture 3 July 12 2006 Shlomo Hershkop 1 Announcements Homework 2 out tonight Please make sure you complete hw1 asap if you have issues, please contact me will

More information

1. Stack overflow & underflow 2. Implementation: partially filled array & linked list 3. Applications: reverse string, backtracking

1. Stack overflow & underflow 2. Implementation: partially filled array & linked list 3. Applications: reverse string, backtracking Review for Test 2 (Chapter 6-10) Chapter 6: Template functions & classes 1) What is the primary purpose of template functions? A. To allow a single function to be used with varying types of arguments B.

More information

Practical Malware Analysis

Practical Malware Analysis Practical Malware Analysis Ch 4: A Crash Course in x86 Disassembly Revised 1-16-7 Basic Techniques Basic static analysis Looks at malware from the outside Basic dynamic analysis Only shows you how the

More information

CS61B Lecture #20: Trees. Last modified: Mon Oct 8 21:21: CS61B: Lecture #20 1

CS61B Lecture #20: Trees. Last modified: Mon Oct 8 21:21: CS61B: Lecture #20 1 CS61B Lecture #20: Trees Last modified: Mon Oct 8 21:21:22 2018 CS61B: Lecture #20 1 A Recursive Structure Trees naturally represent recursively defined, hierarchical objects with more than one recursive

More information

Introduction to Binary Trees

Introduction to Binary Trees Introduction to inary Trees 1 ackground ll data structures examined so far are linear data structures. Each element in a linear data structure has a clear predecessor and a clear successor. Precessors

More information

Binary Search Tree 1.0. Generated by Doxygen Mon Jun :12:39

Binary Search Tree 1.0. Generated by Doxygen Mon Jun :12:39 Binary Search Tree 1.0 Generated by Doxygen 1.7.1 Mon Jun 6 2011 16:12:39 Contents 1 Binary Search Tree Program 1 1.1 Introduction.......................................... 1 2 Data Structure Index 3

More information

Monday, November 9, 2015

Monday, November 9, 2015 Monday, November 9, 2015 Topics for today Grammars and Languages (Chapter 7) Finite State Machines Semantic actions Code generation - Overview nalysis lgorithm 1: evaluation of postfix lgorithm 2: infix

More information

CSC/MAT-220: Lab 6. Due: 11/26/2018

CSC/MAT-220: Lab 6. Due: 11/26/2018 CSC/MAT-220: Lab 6 Due: 11/26/2018 In Lab 2 we discussed value and type bindings. Recall, value bindings bind a value to a variable and are intended to be static for the life of a program. Type bindings

More information

WYSE Academic Challenge State Finals Computer Science 2007 Solution Set

WYSE Academic Challenge State Finals Computer Science 2007 Solution Set WYSE Academic Challenge State Finals Computer Science 2007 Solution Set 1. Correct answer: C. a) PGP is for encrypting documents, traditionally used for email. b) SSH is used to gain secure access to a

More information

Tree. A path is a connected sequence of edges. A tree topology is acyclic there is no loop.

Tree. A path is a connected sequence of edges. A tree topology is acyclic there is no loop. Tree A tree consists of a set of nodes and a set of edges connecting pairs of nodes. A tree has the property that there is exactly one path (no more, no less) between any pair of nodes. A path is a connected

More information

Chapter 5. Binary Trees

Chapter 5. Binary Trees Chapter 5 Binary Trees Definitions and Properties A binary tree is made up of a finite set of elements called nodes It consists of a root and two subtrees There is an edge from the root to its children

More information

Algorithms and Data Structures

Algorithms and Data Structures Lesson 3: trees and visits Luciano Bononi http://www.cs.unibo.it/~bononi/ (slide credits: these slides are a revised version of slides created by Dr. Gabriele D Angelo) International

More information

Trees. Q: Why study trees? A: Many advance ADTs are implemented using tree-based data structures.

Trees. Q: Why study trees? A: Many advance ADTs are implemented using tree-based data structures. Trees Q: Why study trees? : Many advance DTs are implemented using tree-based data structures. Recursive Definition of (Rooted) Tree: Let T be a set with n 0 elements. (i) If n = 0, T is an empty tree,

More information

Trees. Introduction & Terminology. February 05, 2018 Cinda Heeren / Geoffrey Tien 1

Trees. Introduction & Terminology. February 05, 2018 Cinda Heeren / Geoffrey Tien 1 Trees Introduction & Terminology Cinda Heeren / Geoffrey Tien 1 Review: linked lists Linked lists are constructed out of nodes, consisting of a data element a pointer to another node Lists are constructed

More information

Binary Search Trees. See Section 11.1 of the text.

Binary Search Trees. See Section 11.1 of the text. Binary Search Trees See Section 11.1 of the text. Consider the following Binary Search Tree 17 This tree has a nice property: for every node, all of the nodes in its left subtree have values less than

More information

Lec 17 April 8. Topics: binary Trees expression trees. (Chapter 5 of text)

Lec 17 April 8. Topics: binary Trees expression trees. (Chapter 5 of text) Lec 17 April 8 Topics: binary Trees expression trees Binary Search Trees (Chapter 5 of text) Trees Linear access time of linked lists is prohibitive Heap can t support search in O(log N) time. (takes O(N)

More information

Postfix (and prefix) notation

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

More information

Trees : Part 1. Section 4.1. Theory and Terminology. A Tree? A Tree? Theory and Terminology. Theory and Terminology

Trees : Part 1. Section 4.1. Theory and Terminology. A Tree? A Tree? Theory and Terminology. Theory and Terminology Trees : Part Section. () (2) Preorder, Postorder and Levelorder Traversals Definition: A tree is a connected graph with no cycles Consequences: Between any two vertices, there is exactly one unique path

More information

Data Structure Lecture#10: Binary Trees (Chapter 5) U Kang Seoul National University

Data Structure Lecture#10: Binary Trees (Chapter 5) U Kang Seoul National University Data Structure Lecture#10: Binary Trees (Chapter 5) U Kang Seoul National University U Kang (2016) 1 In This Lecture The concept of binary tree, its terms, and its operations Full binary tree theorem Idea

More information

Garbage Collection: recycling unused memory

Garbage Collection: recycling unused memory Outline backtracking garbage collection trees binary search trees tree traversal binary search tree algorithms: add, remove, traverse binary node class 1 Backtracking finding a path through a maze is an

More information

Draw a diagram of an empty circular queue and describe it to the reader.

Draw a diagram of an empty circular queue and describe it to the reader. 1020_1030_testquestions.text Wed Sep 10 10:40:46 2014 1 1983/84 COSC1020/30 Tests >>> The following was given to students. >>> Students can have a good idea of test questions by examining and trying the

More information

Discussion 2C Notes (Week 8, February 25) TA: Brian Choi Section Webpage:

Discussion 2C Notes (Week 8, February 25) TA: Brian Choi Section Webpage: Discussion 2C Notes (Week 8, February 25) TA: Brian Choi (schoi@cs.ucla.edu) Section Webpage: http://www.cs.ucla.edu/~schoi/cs32 Trees Definitions Yet another data structure -- trees. Just like a linked

More information

COSC 2011 Section N. Trees: Terminology and Basic Properties

COSC 2011 Section N. Trees: Terminology and Basic Properties COSC 2011 Tuesday, March 27 2001 Overview Trees and Binary Trees Quick review of definitions and examples Tree Algorithms Depth, Height Tree and Binary Tree Traversals Preorder, postorder, inorder Binary

More information

BRONX COMMUNITY COLLEGE of the City University of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE. Sample Final Exam

BRONX COMMUNITY COLLEGE of the City University of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE. Sample Final Exam BRONX COMMUNITY COLLEGE of the City University of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI33 Sample Final Exam NAME Directions: Solve problems 1 through 5 of Part I and choose 5 of the

More information

First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms...

First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms... First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms.... Q1) What are some of the applications for the tree data structure? Q2) There are 8, 15, 13, and

More information

There are many other applications like constructing the expression tree from the postorder expression. I leave you with an idea as how to do it.

There are many other applications like constructing the expression tree from the postorder expression. I leave you with an idea as how to do it. Programming, Data Structures and Algorithms Prof. Hema Murthy Department of Computer Science and Engineering Indian Institute of Technology, Madras Lecture 49 Module 09 Other applications: expression tree

More information

malloc(), calloc(), realloc(), and free()

malloc(), calloc(), realloc(), and free() 1 next CITS2002 CITS2002 schedule Dynamic data structures Initially, we focused on scalar and array variables, whose size is known at compile-time. More recently, we've focused on arrays of values, whose

More information

Cpt S 122 Data Structures. Course Review Midterm Exam # 1

Cpt S 122 Data Structures. Course Review Midterm Exam # 1 Cpt S 122 Data Structures Course Review Midterm Exam # 1 Nirmalya Roy School of Electrical Engineering and Computer Science Washington State University Midterm Exam 1 When: Friday (09/28) 12:10-1pm Where:

More information

CSC148 Week 6. Larry Zhang

CSC148 Week 6. Larry Zhang CSC148 Week 6 Larry Zhang 1 Announcements Test 1 coverage: trees (topic of today and Wednesday) are not covered Assignment 1 slides posted on the course website. 2 Data Structures 3 Data Structures A data

More information

COSC 2007 Data Structures II Final Exam. Part 1: multiple choice (1 mark each, total 30 marks, circle the correct answer)

COSC 2007 Data Structures II Final Exam. Part 1: multiple choice (1 mark each, total 30 marks, circle the correct answer) COSC 2007 Data Structures II Final Exam Thursday, April 13 th, 2006 This is a closed book and closed notes exam. There are total 3 parts. Please answer the questions in the provided space and use back

More information

Trees. Trees. CSE 2011 Winter 2007

Trees. Trees. CSE 2011 Winter 2007 Trees CSE 2011 Winter 2007 2/5/2007 10:00 PM 1 Trees Linear access time of linked lists is prohibitive Does there exist any simple data structure for which the running time of most operations (search,

More information

Tree Data Structures CSC 221

Tree Data Structures CSC 221 Tree Data Structures CSC 221 Specialized Trees Binary Tree: A restriction of trees such that the maximum degree of a node is 2. Order of nodes is now relevant May have zero nodes (emtpy tree) Formal Definition:

More information

MIDTERM EXAMINATION Spring 2010 CS301- Data Structures

MIDTERM EXAMINATION Spring 2010 CS301- Data Structures MIDTERM EXAMINATION Spring 2010 CS301- Data Structures Question No: 1 Which one of the following statement is NOT correct. In linked list the elements are necessarily to be contiguous In linked list the

More information