This document discusses stacks as an abstract data type (ADT) and their implementation in Java. It begins by defining an ADT as having a specific interface of operations and axioms defining the semantics of those operations. Stacks are introduced as a LIFO data structure that supports push, pop, and top operations. The document then discusses implementing a stack interface in Java using exceptions to handle errors. It provides an example array-based stack implementation in Java using an array and index to track elements. Finally, it discusses an application of stacks to efficiently compute the span of stock price changes over time by using a stack to track previous higher prices.
This document provides an overview of stacks and queues as data structures. It discusses stacks and their LIFO (last-in, first-out) nature, as well as queues and their FIFO (first-in, first-out) nature. It covers the basic operations of each like push, pop, peek for stacks and enqueue, dequeue for queues. It provides examples of how to implement stacks and queues in code as well as examples of their uses.
The document provides an overview of common data structures including lists, stacks, queues, trees, and hash tables. It describes each data structure, how it can be implemented both statically and dynamically, and how to use the core Java classes like ArrayList, Stack, LinkedList, and HashMap that implement these structures. Key points covered include common operations for each structure, examples of using the Java classes, and applications like finding prime numbers in a range or matching brackets in an expression.
The document discusses stacks and queues. It defines stacks as LIFO data structures and queues as FIFO data structures. It describes basic stack operations like push and pop and basic queue operations like enqueue and dequeue. It then discusses implementing stacks and queues using arrays and linked lists, outlining the key operations and memory requirements for each implementation.
The document discusses Java collection frameworks and their main interfaces and classes. It describes:
- Collection frameworks allow storing and managing heterogeneous data efficiently in memory using collection classes that implement the List, Set, and Map interfaces.
- Common List classes are ArrayList and LinkedList; Set classes are HashSet and LinkedHashSet; Map classes are HashMap and Hashtable.
- Each interface (List, Set, Map) and their classes have specific purposes - Lists allow duplicates and order, Sets don't allow duplicates, Maps store key-value pairs with unique keys.
The document discusses stacks as a data structure, including common stack operations like push, pop, and peek. It describes implementations of stacks using arrays and linked lists, and examples of using stacks to convert numbers to binary, validate expressions, and check matching tags in HTML. The Java library includes a Stack class that extends the Vector class with additional constructor and methods for stack operations.
Introduction and BackgroundIn recent lectures we discussed usi.pdfarpitaeron555
Introduction and Background
In recent lectures we discussed using arrays, classes and interfaces (see newly added course
notes if you want to read ahead about interfaces – we will cover them this week in lecture). In
this lab you will utilize all of these topics to build a simple yet useful new class. Consider the
following interface describing the methods for a simple double ended queue (or deque):
public interface SimpleDeque
{
public void addFront(Object X); // Add Object X at front of list
public void addRear(Object X); // Add Object X at rear of list
// If array is full, add methods should do nothing
public Object removeFront(); // Remove and return Object X from
// front of list
public Object removeRear(); // Remove and return Object X from
// rear of list
// If array is empty, remove methods should return null
public boolean isEmpty(); // Return true if the list is empty
// Return false otherwise
}
A queue has the behavior such that items are added at the rear and removed from the front,
thereby giving a First In First Out (FIFO) access to the items added and subsequently removed
from the list. No other manipulations of the data are permitted (for example, we cannot add or
remove anywhere in the middle). Looking at it \"in reverse\", we could add new items at the
front of the queue and remove them from the rear. This is still providing FIFO access, but just
from a different point of view. Now consider both adding and removing items at the rear of the
list (without ever accessing the front). This is called stack access and gives us Last In First Out
(LIFO) access to the items (the data is removed in reverse order). The same behavior occurs if
we both add and remove at the front without ever accessing the rear of the list.
The simple deque above is expressed as an interface rather than a class, because we are not
describing the data or how it is represented -- we are simply describing its access behavior.
However, to actually build a working deque, we need a class that implements the interface
above. For example:
public class MyDeque implements SimpleDeque
{
Object [] theData;
int numItems;
public MyDeque(int maxItems)
{
theData = new Object[maxItems];
numItems = 0;
}
// Implementation of the five methods of SimpleDeque, plus
// perhaps other methods as well
}
Note that the implementation above uses an array of Object to store the items in the deque. Since
Object is the base class to all other Java classes, an array of Object can thus be used to store any
Java class types (we can even store primitive values if we utilize their wrapper classes). Also
note that nothing in the SimpleDeque interface requires an array to be used to store the data. You
will see in your CS 0445 course that a linked list may in fact be a better implementation than an
array in this case. However, for this implementation we will use an array because it is simple and
easy to understand.
Another important thing to notice about the partial implementation above is tha.
This document discusses queues as a data structure. It defines queues as lists that only allow insertions at one end and deletions at the other end, following a First-In First-Out (FIFO) ordering. Common queue operations like add, remove, and peek are introduced. Examples of queues in computer science and real world are provided, like print job queues and lines. Implementations of queues using arrays and linked lists are briefly described.
This document discusses generics in Java and the benefits they provide. It explains that before generics, collections like ArrayList could hold multiple different types of objects, risking ClassCastExceptions. With generics, the type is specified within angle brackets, allowing the compiler to catch type errors and ensuring a collection only holds the specified type. An example shows how a non-generic list can hold integers and strings, while a generic list specified to hold integers no longer allows strings. Generics eliminate casting and type safety issues.
Collections and its types in C# (with examples)Aijaz Ali Abro
Learn step by step c# collections with easy examples. Learn generic, non-generic and specialized collections along with easy and great examples. Learn about arraylist, queue class,stack class and more. Difference between generic and non-generic collections. Difference between arraylist and simple array.
The document discusses various data structures used in programming, including arrays, lists, linked lists, stacks, queues, and dictionaries. It provides definitions and summaries of each data structure, including their common operations and time complexities. For example, it notes that arrays provide O(1) direct access by index but fixed size, while lists are dynamically sized but insertion/deletion at non-end positions is O(n).
This document discusses different implementations of stacks and queues using linked lists and arrays. It describes how to implement a stack using a linked list, with push and pop operations adding and removing nodes from the front of the list. Queues are described as first-in first-out data structures, with enqueue adding to the back and dequeue removing from the front. Examples are given of using stacks and queues for applications like balancing parentheses in expressions and evaluating postfix notation.
This document provides an overview of data structures and algorithms. It defines data structures as organized storage for data that allows for efficient access and updating. There are two main categories of data structures - linear and non-linear. Common linear data structures include arrays and linked lists, while trees and graphs are examples of non-linear data structures. The document then focuses on array data structures, providing details on one-dimensional and two-dimensional arrays including representation, insertion, deletion, and traversal algorithms. It also covers common abstract data types like stacks and queues.
This document provides an overview of data structures and algorithms. It defines data structures as a way to store and organize data for efficient access and updating. There are two main categories of data structures - linear and non-linear. Common linear data structures include arrays and linked lists, while trees and graphs are examples of non-linear data structures. The document also describes common operations for stacks and queues like push, pop, enqueue and dequeue. It concludes by discussing different notations for writing arithmetic expressions like infix, prefix and postfix notations.
The document discusses implementing linked lists in C++. It describes singly linked lists and doubly linked lists. For singly linked lists, it explains how to traverse the list, insert nodes, and delete nodes. For doubly linked lists, it notes the additional previous pointer and advantages like ability to traverse backward. The lab tasks involve creating Node and LinkedList classes to implement insertion at the beginning and end of a singly linked list, and comparing singly and doubly linked lists.
The document discusses stacks as an abstract data type (ADT) and their implementation in Java. It defines stacks as LIFO data structures that support push, pop, and peek operations. An array-based implementation of stacks in Java is presented using an array and index to track elements. Growable stacks are also discussed, comparing strategies to dynamically increase the array size. The document concludes by explaining how method calls in Java programs use a stack to enable recursion and error tracing.
The Array class in ActionScript 3.0 allows you to create and manipulate arrays. Arrays can store any data type and are zero-indexed. You can create an Array using the new Array() constructor or array literal syntax ([]). Arrays are sparse, meaning they may have undefined elements. Array assignment is by reference. The Array class should not be used to create associative arrays, instead use the Object class.
This presentation summarizes stacks as a data structure. It defines stacks as linear data structures that follow a last-in, first-out principle where only the top element can be accessed. Common stack operations like push, pop, peek are described. Examples of stack implementation using arrays and linked lists are provided. Key applications of stacks like function calls, expression evaluation, and memory management are highlighted. Advantages like efficiency and disadvantages like limited access are discussed.
This document discusses data structures and provides examples of different linear data structures including arrays, stacks, queues, and linked lists. It begins by defining what a data structure is, explaining that a data structure organizes data in a systematic way to allow for efficient use. The document then reviews key concepts about each linear data structure, including common operations, implementations using arrays vs pointers, and examples of applications that each data structure can be used for. Real-world examples are provided to illustrate common uses of different data structures.
DS Complete notes for Computer science and EngineeringRAJASEKHARV8
The document provides information about data structures using C programming language. It discusses various topics like arrays, linked lists, stacks, queues, trees and graphs. It provides the syllabus, contents and references for the course on data structures. The document contains lecture notes on different data structure topics with examples and algorithms for common operations like search, insertion, deletion on arrays and linked lists.
The document discusses different implementations of stacks and queues using linked lists and arrays. It describes how stacks can be implemented using a linked list, with push and pop operations adding and removing nodes from the head of the list. Queues can also be implemented with linked lists or arrays, but arrays require additional logic to maintain first-in, first-out order efficiently. Common applications of stacks and queues include evaluating expressions, checking for balanced brackets, and managing tasks in operating systems and server requests.
The ArrayList class in C# represents an ordered collection of objects that can be individually indexed and resized dynamically. It allows adding, removing, and accessing elements by index like a regular array but also supports insertion and removal. Common methods for the ArrayList include Add to add an element, Clear to remove all elements, Contains to check if an element exists, and IndexOf to get the index of an element.
The document contains the syllabus for the second semester of the first year of a B.Tech. program. It outlines 6 units that will be covered related to data structures and C++ programming. Unit I introduces concepts like abstract data types, stacks, queues and their implementations. Unit II covers linked lists and representing stacks and queues with linked lists. Unit III discusses trees and graphs. Unit IV covers searching and sorting algorithms. Units V and VI cover object-oriented programming concepts in C++ like classes, objects, inheritance and templates. The document also lists lab assignments related to implementing various data structures and algorithms in C programming language.
Queues and linked lists are common data structures. Queues follow FIFO ordering and allow insertion at the rear and removal from the front. Linked lists provide efficient insertion and removal by using nodes connected by pointers. Doubly linked lists allow efficient insertion and removal from both ends, enabling implementations of double-ended queues. Positions abstract the concept of location in a data structure and allow node-based operations on linked lists. Iterators encapsulate traversal of a data structure.
This document discusses various data structures in C#, including arrays, lists, queues, stacks, hash tables, and more. It provides code examples and explains the time complexity of common operations for each data structure. Asymptotic analysis and big-O notation are introduced for analyzing how efficiently a data structure handles operations as its size increases.
Medical Device Cybersecurity Threat & Risk ScoringICS
Evaluating cybersecurity risk in medical devices requires a different approach than traditional safety risk assessments. This webinar offers a technical overview of an effective risk assessment approach tailored specifically for cybersecurity.
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Adobe Media Encoder is a transcoding and rendering application that is used for converting media files between different formats and for compressing video files. It works in conjunction with other Adobe applications like Premiere Pro, After Effects, and Audition.
Here's a more detailed explanation:
Transcoding and Rendering:
Media Encoder allows you to convert video and audio files from one format to another (e.g., MP4 to WAV). It also renders projects, which is the process of producing the final video file.
Standalone and Integrated:
While it can be used as a standalone application, Media Encoder is often used in conjunction with other Adobe Creative Cloud applications for tasks like exporting projects, creating proxies, and ingesting media, says a Reddit thread.
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This document discusses generics in Java and the benefits they provide. It explains that before generics, collections like ArrayList could hold multiple different types of objects, risking ClassCastExceptions. With generics, the type is specified within angle brackets, allowing the compiler to catch type errors and ensuring a collection only holds the specified type. An example shows how a non-generic list can hold integers and strings, while a generic list specified to hold integers no longer allows strings. Generics eliminate casting and type safety issues.
Collections and its types in C# (with examples)Aijaz Ali Abro
Learn step by step c# collections with easy examples. Learn generic, non-generic and specialized collections along with easy and great examples. Learn about arraylist, queue class,stack class and more. Difference between generic and non-generic collections. Difference between arraylist and simple array.
The document discusses various data structures used in programming, including arrays, lists, linked lists, stacks, queues, and dictionaries. It provides definitions and summaries of each data structure, including their common operations and time complexities. For example, it notes that arrays provide O(1) direct access by index but fixed size, while lists are dynamically sized but insertion/deletion at non-end positions is O(n).
This document discusses different implementations of stacks and queues using linked lists and arrays. It describes how to implement a stack using a linked list, with push and pop operations adding and removing nodes from the front of the list. Queues are described as first-in first-out data structures, with enqueue adding to the back and dequeue removing from the front. Examples are given of using stacks and queues for applications like balancing parentheses in expressions and evaluating postfix notation.
This document provides an overview of data structures and algorithms. It defines data structures as organized storage for data that allows for efficient access and updating. There are two main categories of data structures - linear and non-linear. Common linear data structures include arrays and linked lists, while trees and graphs are examples of non-linear data structures. The document then focuses on array data structures, providing details on one-dimensional and two-dimensional arrays including representation, insertion, deletion, and traversal algorithms. It also covers common abstract data types like stacks and queues.
This document provides an overview of data structures and algorithms. It defines data structures as a way to store and organize data for efficient access and updating. There are two main categories of data structures - linear and non-linear. Common linear data structures include arrays and linked lists, while trees and graphs are examples of non-linear data structures. The document also describes common operations for stacks and queues like push, pop, enqueue and dequeue. It concludes by discussing different notations for writing arithmetic expressions like infix, prefix and postfix notations.
The document discusses implementing linked lists in C++. It describes singly linked lists and doubly linked lists. For singly linked lists, it explains how to traverse the list, insert nodes, and delete nodes. For doubly linked lists, it notes the additional previous pointer and advantages like ability to traverse backward. The lab tasks involve creating Node and LinkedList classes to implement insertion at the beginning and end of a singly linked list, and comparing singly and doubly linked lists.
The document discusses stacks as an abstract data type (ADT) and their implementation in Java. It defines stacks as LIFO data structures that support push, pop, and peek operations. An array-based implementation of stacks in Java is presented using an array and index to track elements. Growable stacks are also discussed, comparing strategies to dynamically increase the array size. The document concludes by explaining how method calls in Java programs use a stack to enable recursion and error tracing.
The Array class in ActionScript 3.0 allows you to create and manipulate arrays. Arrays can store any data type and are zero-indexed. You can create an Array using the new Array() constructor or array literal syntax ([]). Arrays are sparse, meaning they may have undefined elements. Array assignment is by reference. The Array class should not be used to create associative arrays, instead use the Object class.
This presentation summarizes stacks as a data structure. It defines stacks as linear data structures that follow a last-in, first-out principle where only the top element can be accessed. Common stack operations like push, pop, peek are described. Examples of stack implementation using arrays and linked lists are provided. Key applications of stacks like function calls, expression evaluation, and memory management are highlighted. Advantages like efficiency and disadvantages like limited access are discussed.
This document discusses data structures and provides examples of different linear data structures including arrays, stacks, queues, and linked lists. It begins by defining what a data structure is, explaining that a data structure organizes data in a systematic way to allow for efficient use. The document then reviews key concepts about each linear data structure, including common operations, implementations using arrays vs pointers, and examples of applications that each data structure can be used for. Real-world examples are provided to illustrate common uses of different data structures.
DS Complete notes for Computer science and EngineeringRAJASEKHARV8
The document provides information about data structures using C programming language. It discusses various topics like arrays, linked lists, stacks, queues, trees and graphs. It provides the syllabus, contents and references for the course on data structures. The document contains lecture notes on different data structure topics with examples and algorithms for common operations like search, insertion, deletion on arrays and linked lists.
The document discusses different implementations of stacks and queues using linked lists and arrays. It describes how stacks can be implemented using a linked list, with push and pop operations adding and removing nodes from the head of the list. Queues can also be implemented with linked lists or arrays, but arrays require additional logic to maintain first-in, first-out order efficiently. Common applications of stacks and queues include evaluating expressions, checking for balanced brackets, and managing tasks in operating systems and server requests.
The ArrayList class in C# represents an ordered collection of objects that can be individually indexed and resized dynamically. It allows adding, removing, and accessing elements by index like a regular array but also supports insertion and removal. Common methods for the ArrayList include Add to add an element, Clear to remove all elements, Contains to check if an element exists, and IndexOf to get the index of an element.
The document contains the syllabus for the second semester of the first year of a B.Tech. program. It outlines 6 units that will be covered related to data structures and C++ programming. Unit I introduces concepts like abstract data types, stacks, queues and their implementations. Unit II covers linked lists and representing stacks and queues with linked lists. Unit III discusses trees and graphs. Unit IV covers searching and sorting algorithms. Units V and VI cover object-oriented programming concepts in C++ like classes, objects, inheritance and templates. The document also lists lab assignments related to implementing various data structures and algorithms in C programming language.
Queues and linked lists are common data structures. Queues follow FIFO ordering and allow insertion at the rear and removal from the front. Linked lists provide efficient insertion and removal by using nodes connected by pointers. Doubly linked lists allow efficient insertion and removal from both ends, enabling implementations of double-ended queues. Positions abstract the concept of location in a data structure and allow node-based operations on linked lists. Iterators encapsulate traversal of a data structure.
This document discusses various data structures in C#, including arrays, lists, queues, stacks, hash tables, and more. It provides code examples and explains the time complexity of common operations for each data structure. Asymptotic analysis and big-O notation are introduced for analyzing how efficiently a data structure handles operations as its size increases.
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Adobe Media Encoder is a transcoding and rendering application that is used for converting media files between different formats and for compressing video files. It works in conjunction with other Adobe applications like Premiere Pro, After Effects, and Audition.
Here's a more detailed explanation:
Transcoding and Rendering:
Media Encoder allows you to convert video and audio files from one format to another (e.g., MP4 to WAV). It also renders projects, which is the process of producing the final video file.
Standalone and Integrated:
While it can be used as a standalone application, Media Encoder is often used in conjunction with other Adobe Creative Cloud applications for tasks like exporting projects, creating proxies, and ingesting media, says a Reddit thread.
Top 12 Most Useful AngularJS Development Tools to Use in 2025GrapesTech Solutions
AngularJS remains a popular JavaScript-based front-end framework that continues to power dynamic web applications even in 2025. Despite the rise of newer frameworks, AngularJS has maintained a solid community base and extensive use, especially in legacy systems and scalable enterprise applications. To make the most of its capabilities, developers rely on a range of AngularJS development tools that simplify coding, debugging, testing, and performance optimization.
If you’re working on AngularJS projects or offering AngularJS development services, equipping yourself with the right tools can drastically improve your development speed and code quality. Let’s explore the top 12 AngularJS tools you should know in 2025.
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Adobe InDesign is a professional-grade desktop publishing and layout application primarily used for creating publications like magazines, books, and brochures, but also suitable for various digital and print media. It excels in precise page layout design, typography control, and integration with other Adobe tools.
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Slides for the presentation I gave at LambdaConf 2025.
In this presentation I address common problems that arise in complex software systems where even subject matter experts struggle to understand what a system is doing and what it's supposed to do.
The core solution presented is defining domain-specific languages (DSLs) that model business rules as data structures rather than imperative code. This approach offers three key benefits:
1. Constraining what operations are possible
2. Keeping documentation aligned with code through automatic generation
3. Making solutions consistent throug different interpreters
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Let’s build the AEM DACH community—together.
Did you miss Team’25 in Anaheim? Don’t fret! Join our upcoming ACE where Atlassian Community Leader, Dileep Bhat, will present all the key announcements and highlights. Matt Reiner, Confluence expert, will explore best practices for sharing Confluence content to 'set knowledge fee' and all the enhancements announced at Team '25 including the exciting Confluence <--> Loom integrations.
In today's world, artificial intelligence (AI) is transforming the way we learn. This talk will explore how we can use AI tools to enhance our learning experiences. We will try out some AI tools that can help with planning, practicing, researching etc.
But as we embrace these new technologies, we must also ask ourselves: Are we becoming less capable of thinking for ourselves? Do these tools make us smarter, or do they risk dulling our critical thinking skills? This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.
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Rootfacts is a cutting-edge technology firm based in Belfast, Ireland, specializing in high-impact software solutions for the automotive sector. We bring digital intelligence into engineering through advanced Digital Twins Software Services, enabling companies to design, simulate, monitor, and evolve complex products in real time.
A Non-Profit Organization, in absence of a dedicated CRM system faces myriad challenges like lack of automation, manual reporting, lack of visibility, and more. These problems ultimately affect sustainability and mission delivery of an NPO. Check here how Agentforce can help you overcome these challenges –
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Java Architecture
Java follows a unique architecture that enables the "Write Once, Run Anywhere" capability. It is a robust, secure, and platform-independent programming language. Below are the major components of Java Architecture:
1. Java Source Code
Java programs are written using .java files.
These files contain human-readable source code.
2. Java Compiler (javac)
Converts .java files into .class files containing bytecode.
Bytecode is a platform-independent, intermediate representation of your code.
3. Java Virtual Machine (JVM)
Reads the bytecode and converts it into machine code specific to the host machine.
It performs memory management, garbage collection, and handles execution.
4. Java Runtime Environment (JRE)
Provides the environment required to run Java applications.
It includes JVM + Java libraries + runtime components.
5. Java Development Kit (JDK)
Includes the JRE and development tools like the compiler, debugger, etc.
Required for developing Java applications.
Key Features of JVM
Performs just-in-time (JIT) compilation.
Manages memory and threads.
Handles garbage collection.
JVM is platform-dependent, but Java bytecode is platform-independent.
Java Classes and Objects
What is a Class?
A class is a blueprint for creating objects.
It defines properties (fields) and behaviors (methods).
Think of a class as a template.
What is an Object?
An object is a real-world entity created from a class.
It has state and behavior.
Real-life analogy: Class = Blueprint, Object = Actual House
Class Methods and Instances
Class Method (Static Method)
Belongs to the class.
Declared using the static keyword.
Accessed without creating an object.
Instance Method
Belongs to an object.
Can access instance variables.
Inheritance in Java
What is Inheritance?
Allows a class to inherit properties and methods of another class.
Promotes code reuse and hierarchical classification.
Types of Inheritance in Java:
1. Single Inheritance
One subclass inherits from one superclass.
2. Multilevel Inheritance
A subclass inherits from another subclass.
3. Hierarchical Inheritance
Multiple classes inherit from one superclass.
Java does not support multiple inheritance using classes to avoid ambiguity.
Polymorphism in Java
What is Polymorphism?
One method behaves differently based on the context.
Types:
Compile-time Polymorphism (Method Overloading)
Runtime Polymorphism (Method Overriding)
Method Overloading
Same method name, different parameters.
Method Overriding
Subclass redefines the method of the superclass.
Enables dynamic method dispatch.
Interface in Java
What is an Interface?
A collection of abstract methods.
Defines what a class must do, not how.
Helps achieve multiple inheritance.
Features:
All methods are abstract (until Java 8+).
A class can implement multiple interfaces.
Interface defines a contract between unrelated classes.
Abstract Class in Java
What is an Abstract Class?
A class that cannot be instantiated.
Used to provide base functionality and enforce
2. Course objectives
Learn basic data structures and algorithms
data structures – how data is organized
algorithms – unambiguous sequence of steps to compute
something
algorithm analysis – determining how long an algorithm will
take to solve a problem
Become a better software developer
"Data Structures + Algorithms = Programs"
-- Niklaus Wirth, author of Pascal language
2
3. Abstract Data Types
abstract data type (ADT): A specification of a collection of
data and the operations that can be performed on it.
Describes what a collection does, not how it does it
Described in Java with interfaces (e.g., List, Map, Set)
Separate from implementation
ADTs can be implemented in multiple ways by classes:
ArrayList and LinkedList implement List
HashSet and TreeSet implement Set
LinkedList , ArrayDeque, etc. implement
Queue
Java messed up on Stack—there's no Stack interface, just a class.
3
4. List ADT
An ordered collection the form A0, A1, ..., AN-1, where N is the
size of the list
Operations described in Java's List interface (subset):
ArrayList and LinkedList are implementations
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add(elt, index) inserts the element at the specified position
in the list
remove(index) removes the element at the specified position
get(index) returns the element at the specified position
set(index, elt) replaces the element at the specified position
with the specified element
contains(elt) returns true if the list contains the element
size() returns the number of elements in the list
5. Stack ADT
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stack: a list with the restriction that insertions/deletions
can only be performed at the top/end of the list
Last-In, First-Out ("LIFO")
The elements are stored in order of insertion,
but we do not think of them as having indexes.
The client can only add/remove/examine
the last element added (the "top").
basic stack operations:
push: Add an element to the top.
pop: Remove the top element.
peek: Examine the top element.
6. Applications of Stacks
Programming languages:
method calls are placed onto a stack (call=push, return=pop)
Matching up related pairs of things:
find out whether a string is a palindrome
examine a file to see if its braces { } and other operators
match
Sophisticated algorithms:
searching through a maze with "backtracking"
many programs use an "undo stack" of previous operations
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method
3
return var
local vars
parameters
method
2
return var
local vars
parameters
method
1
return var
local vars
parameters
7. Class Stack
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Stack<Integer> s = new Stack<Integer>();
s.push(42);
s.push(-3);
s.push(17); // bottom [42, -3, 17] top
System.out.println(s.pop()); // 17
Stack<E>() constructs a new stack with elements of type E
push(value) places given value on top of stack
pop() removes top value from stack and returns it;
throws EmptyStackException if stack is
empty
peek() returns top value from stack without removing
it;
throws EmptyStackException if stack is
empty
size() returns number of elements in stack
isEmpty() returns true if stack has no elements
8. Stack limitations/idioms
Remember: You can’t loop over a stack like you do a list.
Stack<Integer> s = new Stack<Integer>();
...
for (int i = 0; i < s.size(); i++) {
do something with s.get(i);
}
Instead, you pull contents out of the stack to view them.
Idiom: Remove each element until the stack is empty.
while (!s.isEmpty()) {
do something with s.pop();
}
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9. Exercise
9
Write a method symbolsBalanced that accepts a
String as a parameter and returns whether or not the
parentheses and the curly brackets in that String are
balanced as they would have to be in a valid Java
program.
Use a Stack to solve this problem.
10. Eclipse concepts
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workspace: a collection of projects
stored as a directory
project: a Java program
must have your files in a project in order to be able to
compile, debug and run them
by default stored in a directory in your workspace
perspective: a view of your current project using a set
of pre-laid-out windows and menus
Java perspective
debugging perspective