Java Linked List Tutorial | Edureka

Oct 18, 20194 likes2,403 views

The document explains linked lists as a dynamic data structure where nodes are interconnected and includes elements such as head, nodes, and tail. It distinguishes between different types of linked lists: singly linked lists, doubly linked lists, and circular linked lists, as well as comparing arrays and linked lists in terms of memory consumption, resizing capability, and operation speed. The document also highlights methods in linked lists and their features, emphasizing their synchronization and maintenance of insertion orders.

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FEATURES OF LINKED LISTS
METHODS IN LINKED LISTS
TYPES OF LINKED LISTS
ARRAYS V/S LINKED LISTS
WHAT IS A LINKED LIST?
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What is a Linked List?
A Linked List a Data Structure similar to arrays, where each node is
interconnected to the next node through a memory address link.
A Linked List has three Elements, Namely:
• Head
• Nodes
• Tail
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My Array[0] My Array[1] My Array[2] My Array[3] My Array[4]
=My Array[0] 10
ArrayRefVar = new dataType[arraySize];
=My Array new int[5]
What happens in an Array?
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=My Array[2] 30
=My Array[3] 40
=My Array[4] 50
=My Array[1] 20
My Array[0] My Array[1] My Array[2] My Array[3] My Array[4]
10
ArrayRefVar = new dataType[arraySize];
=My Array new int[5]
What happens in an Array?
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My Array[0] My Array[1] My Array[2] My Array[3] My Array[4]
10 30 40 5020
ArrayRefVar = new dataType[arraySize];
=My Array new int[5]
What happens in an Array?
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What happens in Linked List?
Memory Heap
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10
30
40
50
20
7328
30261001
4537
1023
What happens in Linked List?
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Null50
302630100110
453740
102320
What happens in Linked List?
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100110 102320 453740302630 Null50
What happens in Linked List?
Head Tail
Nodes
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Types of Linked Lists
Singly Linked List
Circular Linked List
Doubly Linked List
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AdrHead AdrNode AdrNodeAdrNode NullTail
Singly Linked List
A Singly Linked List nodes contains two fields, Namely:
• Address of the next node
• Data assigned to the present node
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AdrHead
Doubly Linked List
A Doubly Linked List nodes contains three fields, Namely:
• Address of the next node
• Address of the previous node
• Data assigned to the present node
Null AdrNodeAdr AdrNodeAdr AdrNodeAdr NullTailAdr
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AdrHead
AdrNodeAdrNode
AdrNode HeadTail
Circular Linked List
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Que and Deque Interfaces
Linked Lists are SynchronizedInclude Duplicates
List IteratorMultithreaded Environment
Maintains Insertion orders No Random Access
Features of Linked Lists
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Convert Array to Linked List

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Convert Linked List to Array

Arrays v/s Linked Lists
Arrays are not Resizable
Linked Lists are Dynamically Resizable
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Arrays v/s Linked Lists
Arrays offer more Methods
Comparatively, Fewer Methods are available in Linked Lists
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Arrays v/s Linked Lists
Insertion, addition and removal operations of an item are
faster in arrays
Comparatively, operations are slow in Linked Lists
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Arrays v/s Linked Lists
Arrays consume more Memory
Linked Lists consume Less Memory
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Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes. To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.

PyData - Graph Theory for Multi-Agent Integrationbarqawicloud

Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.

Agentic AI: Beyond the Buzz- LangGraph Studio V2Shashikant Jagtap

FME for Good: Integrating Multiple Data Sources with APIs to Support Local Ch...Safe Software

Have-a-skate-with-Bob (HASB-KC) is a local charity that holds two Hockey Tournaments every year to raise money in the fight against Pancreatic Cancer. The FME Form software is used to integrate and exchange data via API, between Google Forms, Google Sheets, Stripe payments, SmartWaiver, and the GoDaddy email marketing tools to build a grass-roots Customer Relationship Management (CRM) system for the charity. The CRM is used to communicate effectively and readily with the participants of the hockey events and most importantly the local area sponsors of the event. Communication consists of a BLOG used to inform participants of event details including, the ever-important team rosters. Funds raised by these events are used to support families in the local area to fight cancer and support PanCan research efforts to find a cure against this insidious disease. FME Form removes the tedium and error-prone manual ETL processes against these systems into 1 or 2 workbenches that put the data needed at the fingertips of the event organizers daily freeing them to work on outreach and marketing of the events in the community.

Can We Use Rust to Develop Extensions for PostgreSQL? (POSETTE: An Event for ...NTT DATA Technology & Innovation

ENERGY CONSUMPTION CALCULATION IN ENERGY-EFFICIENT AIR CONDITIONER.pdfMuhammad Rizwan Akram

DC Inverter Air Conditioners are revolutionizing the cooling industry by delivering affordable, energy-efficient, and environmentally sustainable climate control solutions. Unlike conventional fixed-speed air conditioners, DC inverter systems operate with variable-speed compressors that modulate cooling output based on demand, significantly reducing energy consumption and extending the lifespan of the appliance. These systems are critical in reducing electricity usage, lowering greenhouse gas emissions, and promoting eco-friendly technologies in residential and commercial sectors. With advancements in compressor control, refrigerant efficiency, and smart energy management, DC inverter air conditioners have become a benchmark in sustainable climate control solutions

Supporting the NextGen 911 Digital Transformation with FMESafe Software

Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams. This presentation will focus on how FME has supported NG911 transformations to date, and how we are positioning FME to support the enhanced capabilities to come. This session will be of interest to emergency services, municipalities and anyone who may be interested to know more about how emergency services are being improved to provide more accurate, localized information in order to improve the speed and relevance of emergency response and ultimately save more lives and provide better outcomes for those in need.

FIDO Seminar: New Data: Passkey Adoption in the Workforce.pptxFIDO Alliance

Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar

Presented by: Anish Kumar LinkedIn: https://www.linkedin.com/in/anishkumar/ This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks). This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights. Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.