Priority queue

•

0 likes•51 views

J

A priority queue is a queue that allows nodes to be added and deleted based on priority or preference. Nodes with higher priority are inserted at the front of the queue and lower priority nodes are added to the back. When deleting from the queue, the highest priority or first node is always removed first.

PRIORITY QUEUE (PQ)
A queue in which nodes can be added and deleted as per priority (Preference)
13
11 12
Start_1
13
11 12
Start_2
PQ1
PQ2
PQ3
13
11 12
Start_3

PRIORITY QUEUE (PQ)
INSERTION in PQ
13
11 12
Start_1
13
11 12
Start_2
PQ1
PQ2
PQ3
13
11 12
Start_3

PRIORITY QUEUE (PQ)
DELETION in PQ
13
11 12
Start_1
13
11 12
Start_2
PQ1
PQ2
PQ3
13
11 12
Start_3

Recommended

Everything I always wanted to know about crypto, but never thought I'd unders...

Everything I always wanted to know about crypto, but never thought I'd unders...

Everything I always wanted to know about crypto, but never thought I'd unders...

For many years, I had entirely given up on ever understanding the anything about cryptography. However, I’ve since learned it’s not nearly as hard as I thought to understand many of the important concepts. In this talk, I’ll take you through some of the underlying principles of modern applications of cryptography. We’ll talk about our goals, the parts are involved, and how to prevent and understand common vulnerabilities. This’ll help you to make better choices when you implement crypto in your products, and will improve your understanding of how crypto is applied to things you already use.

Clase 15 dsp

Marcelo Valdiviezo

Functional Reactive Programming with Kotlin on Android - Giorgio Natili - Cod...

Functional Reactive Programming with Kotlin on Android - Giorgio Natili - Cod...

Functional Reactive Programming with Kotlin on Android - Giorgio Natili - Cod...

Reactive programming is a paradigm oriented around data flows and propagation of changes. Kotlin is a programming language intended to be a better Java, and it's designed to be usable and readable across large teams with skill and discipline variances. Despite its object-oriented building blocks, Kotlin fits well in the functional reactive programming landscape. In this essay, I will deep-dive into the most relevant aspects of FRP in Kotlin focusing on the advantages that everyone can get when using this approach to build an Android app.

CG02 Computer Graphic Systems.ppsx

CG02 Computer Graphic Systems.ppsx

CG02 Computer Graphic Systems.ppsx

Projections.pptx

Projections.pptx

Projections.pptx

CG04 Color Models.ppsx

CG04 Color Models.ppsx

CG04 Color Models.ppsx

CG03 Random Raster Scan displays and Color CRTs.ppsx

CG03 Random Raster Scan displays and Color CRTs.ppsx

CG03 Random Raster Scan displays and Color CRTs.ppsx

CG02 Computer Graphic Systems.pptx

CG02 Computer Graphic Systems.pptx

CG02 Computer Graphic Systems.pptx

Recommended

Everything I always wanted to know about crypto, but never thought I'd unders...

Everything I always wanted to know about crypto, but never thought I'd unders...

Everything I always wanted to know about crypto, but never thought I'd unders...

For many years, I had entirely given up on ever understanding the anything about cryptography. However, I’ve since learned it’s not nearly as hard as I thought to understand many of the important concepts. In this talk, I’ll take you through some of the underlying principles of modern applications of cryptography. We’ll talk about our goals, the parts are involved, and how to prevent and understand common vulnerabilities. This’ll help you to make better choices when you implement crypto in your products, and will improve your understanding of how crypto is applied to things you already use.

Clase 15 dsp

Marcelo Valdiviezo

Functional Reactive Programming with Kotlin on Android - Giorgio Natili - Cod...

Functional Reactive Programming with Kotlin on Android - Giorgio Natili - Cod...

Functional Reactive Programming with Kotlin on Android - Giorgio Natili - Cod...

Reactive programming is a paradigm oriented around data flows and propagation of changes. Kotlin is a programming language intended to be a better Java, and it's designed to be usable and readable across large teams with skill and discipline variances. Despite its object-oriented building blocks, Kotlin fits well in the functional reactive programming landscape. In this essay, I will deep-dive into the most relevant aspects of FRP in Kotlin focusing on the advantages that everyone can get when using this approach to build an Android app.

CG02 Computer Graphic Systems.ppsx

CG02 Computer Graphic Systems.ppsx

CG02 Computer Graphic Systems.ppsx

Projections.pptx

Projections.pptx

Projections.pptx

CG04 Color Models.ppsx

CG04 Color Models.ppsx

CG04 Color Models.ppsx

CG03 Random Raster Scan displays and Color CRTs.ppsx

CG03 Random Raster Scan displays and Color CRTs.ppsx

CG03 Random Raster Scan displays and Color CRTs.ppsx

CG02 Computer Graphic Systems.pptx

CG02 Computer Graphic Systems.pptx

CG02 Computer Graphic Systems.pptx

CG01 introduction.ppsx

CG01 introduction.ppsx

CG01 introduction.ppsx

Doubly linked list

Doubly linked list

Doubly linked list

Double ended queue

Double ended queue

Double ended queue

Tree terminology and introduction to binary tree

Tree terminology and introduction to binary tree

Tree terminology and introduction to binary tree

Ds006 linked list- delete from front

Ds006 linked list- delete from front

Ds006 linked list- delete from front

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at beginning

Ds06 linked list- insert a node at beginning

Ds06 linked list- insert a node at beginning

Ds06 linked list- intro and create a node

Ds06 linked list- intro and create a node

Ds06 linked list- intro and create a node

Ds04 abstract data types (adt) jyoti lakhani

Ds04 abstract data types (adt) jyoti lakhani

Ds04 abstract data types (adt) jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds02 flow chart and pseudo code

Ds02 flow chart and pseudo code

Ds02 flow chart and pseudo code

Ds01 data structure introduction - by jyoti lakhani

Ds01 data structure introduction - by jyoti lakhani

Ds01 data structure introduction - by jyoti lakhani

Ids 016 cooperative intrusion detection

Ids 016 cooperative intrusion detection

Ids 016 cooperative intrusion detection

Ids 015 architecture and implementation of ids

Ids 015 architecture and implementation of ids

Ids 015 architecture and implementation of ids

Ids 014 anomaly detection

Ids 014 anomaly detection

Ids 014 anomaly detection

Ids 013 detection approaches

Ids 013 detection approaches

Ids 013 detection approaches

Ids 009 network attacks

Ids 009 network attacks

Ids 009 network attacks

Ids 008 buffer overflow

Ids 008 buffer overflow

Ids 008 buffer overflow

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second). Paper: https://eprint.iacr.org/2023/1886

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

More Related Content

More from jyoti_lakhani

CG01 introduction.ppsx

CG01 introduction.ppsx

CG01 introduction.ppsx

Doubly linked list

Doubly linked list

Doubly linked list

Double ended queue

Double ended queue

Double ended queue

Tree terminology and introduction to binary tree

Tree terminology and introduction to binary tree

Tree terminology and introduction to binary tree

Ds006 linked list- delete from front

Ds006 linked list- delete from front

Ds006 linked list- delete from front

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at beginning

Ds06 linked list- insert a node at beginning

Ds06 linked list- insert a node at beginning

Ds06 linked list- intro and create a node

Ds06 linked list- intro and create a node

Ds06 linked list- intro and create a node

Ds04 abstract data types (adt) jyoti lakhani

Ds04 abstract data types (adt) jyoti lakhani

Ds04 abstract data types (adt) jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds02 flow chart and pseudo code

Ds02 flow chart and pseudo code

Ds02 flow chart and pseudo code

Ds01 data structure introduction - by jyoti lakhani

Ds01 data structure introduction - by jyoti lakhani

Ds01 data structure introduction - by jyoti lakhani

Ids 016 cooperative intrusion detection

Ids 016 cooperative intrusion detection

Ids 016 cooperative intrusion detection

Ids 015 architecture and implementation of ids

Ids 015 architecture and implementation of ids

Ids 015 architecture and implementation of ids

Ids 014 anomaly detection

Ids 014 anomaly detection

Ids 014 anomaly detection

Ids 013 detection approaches

Ids 013 detection approaches

Ids 013 detection approaches

Ids 009 network attacks

Ids 009 network attacks

Ids 009 network attacks

Ids 008 buffer overflow

Ids 008 buffer overflow

Ids 008 buffer overflow

More from jyoti_lakhani (20)

CG01 introduction.ppsx

CG01 introduction.ppsx

CG01 introduction.ppsx

Doubly linked list

Doubly linked list

Doubly linked list

Double ended queue

Double ended queue

Double ended queue

Tree terminology and introduction to binary tree

Tree terminology and introduction to binary tree

Tree terminology and introduction to binary tree

Ds006 linked list- delete from front

Ds006 linked list- delete from front

Ds006 linked list- delete from front

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node after a given node

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at end

Ds06 linked list- insert a node at beginning

Ds06 linked list- insert a node at beginning

Ds06 linked list- insert a node at beginning

Ds06 linked list- intro and create a node

Ds06 linked list- intro and create a node

Ds06 linked list- intro and create a node

Ds04 abstract data types (adt) jyoti lakhani

Ds04 abstract data types (adt) jyoti lakhani

Ds04 abstract data types (adt) jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 part i algorithms by jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds03 algorithms jyoti lakhani

Ds02 flow chart and pseudo code

Ds02 flow chart and pseudo code

Ds02 flow chart and pseudo code

Ds01 data structure introduction - by jyoti lakhani

Ds01 data structure introduction - by jyoti lakhani

Ds01 data structure introduction - by jyoti lakhani

Ids 016 cooperative intrusion detection

Ids 016 cooperative intrusion detection

Ids 016 cooperative intrusion detection

Ids 015 architecture and implementation of ids

Ids 015 architecture and implementation of ids

Ids 015 architecture and implementation of ids

Ids 014 anomaly detection

Ids 014 anomaly detection

Ids 014 anomaly detection

Ids 013 detection approaches

Ids 013 detection approaches

Ids 013 detection approaches

Ids 009 network attacks

Ids 009 network attacks

Ids 009 network attacks

Ids 008 buffer overflow

Ids 008 buffer overflow

Ids 008 buffer overflow

Recently uploaded

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second). Paper: https://eprint.iacr.org/2023/1886

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Generative AI Deep Dive: Advancing from Proof of Concept to Production

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

How to Get CNIC Information System with Paksim Ga.pptx

How to Get CNIC Information System with Paksim Ga.pptx

How to Get CNIC Information System with Paksim Ga.pptx

Essentials of Automations: The Art of Triggers and Actions in FME

Essentials of Automations: The Art of Triggers and Actions in FME

Essentials of Automations: The Art of Triggers and Actions in FME

In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

By Design, not by Accident - Agile Venture Bolzano 2024

By Design, not by Accident - Agile Venture Bolzano 2024

By Design, not by Accident - Agile Venture Bolzano 2024

Pierluigi Pugliese

Large Language Model (LLM) and it’s Geospatial Applications

Large Language Model (LLM) and it’s Geospatial Applications

Large Language Model (LLM) and it’s Geospatial Applications

Epistemic Interaction - tuning interfaces to provide information for AI support

Epistemic Interaction - tuning interfaces to provide information for AI support

Epistemic Interaction - tuning interfaces to provide information for AI support

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...

Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.

DevOps and Testing slides at DASA Connect

DevOps and Testing slides at DASA Connect

DevOps and Testing slides at DASA Connect

Uni Systems Copilot event_05062024_C.Vlachos.pdf

Uni Systems Copilot event_05062024_C.Vlachos.pdf

Uni Systems Copilot event_05062024_C.Vlachos.pdf

Uni Systems S.M.S.A.

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

Mind map of terminologies used in context of Generative AI

Mind map of terminologies used in context of Generative AI

Mind map of terminologies used in context of Generative AI

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...

Dr. Sean Tan, Head of Data Science, Changi Airport Group Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

Climate Impact of Software Testing at Nordic Testing Days

Climate Impact of Software Testing at Nordic Testing Days

Climate Impact of Software Testing at Nordic Testing Days

My slides at Nordic Testing Days 6.6.2024 Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.

A tale of scale & speed: How the US Navy is enabling software delivery from l...

A tale of scale & speed: How the US Navy is enabling software delivery from l...

A tale of scale & speed: How the US Navy is enabling software delivery from l...

sonjaschweigert1

Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved: - Reduction in onboarding time from 5 weeks to 1 day - Improved developer experience and productivity through actionable findings and reduction of false positives - Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO) Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production. We will cover: - How to remove silos in DevSecOps - How to build efficient development pipeline roles and component templates - How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence) - How to streamline operations with automated policy checks on container images

Securing your Kubernetes cluster_ a step-by-step guide to success !

Securing your Kubernetes cluster_ a step-by-step guide to success !

Securing your Kubernetes cluster_ a step-by-step guide to success !

Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster. However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks. In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.

20240609 QFM020 Irresponsible AI Reading List May 2024

20240609 QFM020 Irresponsible AI Reading List May 2024

20240609 QFM020 Irresponsible AI Reading List May 2024

Matthew Sinclair

Recently uploaded (20)

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Generative AI Deep Dive: Advancing from Proof of Concept to Production

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

How to Get CNIC Information System with Paksim Ga.pptx

How to Get CNIC Information System with Paksim Ga.pptx

How to Get CNIC Information System with Paksim Ga.pptx

Essentials of Automations: The Art of Triggers and Actions in FME

Essentials of Automations: The Art of Triggers and Actions in FME

Essentials of Automations: The Art of Triggers and Actions in FME

By Design, not by Accident - Agile Venture Bolzano 2024

By Design, not by Accident - Agile Venture Bolzano 2024

By Design, not by Accident - Agile Venture Bolzano 2024

Large Language Model (LLM) and it’s Geospatial Applications

Large Language Model (LLM) and it’s Geospatial Applications

Large Language Model (LLM) and it’s Geospatial Applications

Epistemic Interaction - tuning interfaces to provide information for AI support

Epistemic Interaction - tuning interfaces to provide information for AI support

Epistemic Interaction - tuning interfaces to provide information for AI support

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...

DevOps and Testing slides at DASA Connect

DevOps and Testing slides at DASA Connect

DevOps and Testing slides at DASA Connect

Uni Systems Copilot event_05062024_C.Vlachos.pdf

Uni Systems Copilot event_05062024_C.Vlachos.pdf

Uni Systems Copilot event_05062024_C.Vlachos.pdf

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

Mind map of terminologies used in context of Generative AI

Mind map of terminologies used in context of Generative AI

Mind map of terminologies used in context of Generative AI

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

Climate Impact of Software Testing at Nordic Testing Days

Climate Impact of Software Testing at Nordic Testing Days

Climate Impact of Software Testing at Nordic Testing Days

A tale of scale & speed: How the US Navy is enabling software delivery from l...

A tale of scale & speed: How the US Navy is enabling software delivery from l...

A tale of scale & speed: How the US Navy is enabling software delivery from l...

Securing your Kubernetes cluster_ a step-by-step guide to success !

Securing your Kubernetes cluster_ a step-by-step guide to success !

Securing your Kubernetes cluster_ a step-by-step guide to success !

20240609 QFM020 Irresponsible AI Reading List May 2024

20240609 QFM020 Irresponsible AI Reading List May 2024

20240609 QFM020 Irresponsible AI Reading List May 2024

Priority queue

1. PRIORITY QUEUE (PQ) A queue in which nodes can be added and deleted as per priority (Preference) 13 11 12 Start_1 13 11 12 Start_2 PQ1 PQ2 PQ3 13 11 12 Start_3

2. PRIORITY QUEUE (PQ) INSERTION in PQ 13 11 12 Start_1 13 11 12 Start_2 PQ1 PQ2 PQ3 13 11 12 Start_3

3. PRIORITY QUEUE (PQ) DELETION in PQ 13 11 12 Start_1 13 11 12 Start_2 PQ1 PQ2 PQ3 13 11 12 Start_3