Slides cover understanding heap, heap properties, representation of heap, up-heap and down heap bubbling followed by Adaptable priority queues, list and heap implementation of priority queues.
Given two integer arrays val[0...n-1] and wt[0...n-1] that represents values and weights associated with n items respectively. Find out the maximum value subset of val[] such that sum of the weights of this subset is smaller than or equal to knapsack capacity W. Here the BRANCH AND BOUND ALGORITHM is discussed .
Given two integer arrays val[0...n-1] and wt[0...n-1] that represents values and weights associated with n items respectively. Find out the maximum value subset of val[] such that sum of the weights of this subset is smaller than or equal to knapsack capacity W. Here the BRANCH AND BOUND ALGORITHM is discussed .
Find Transitive closure of a Graph Using Warshall's AlgorithmSafayet Hossain
Here I actually describe how we can find transitive closure of a graph using warshall' algorithm. It will be easy to learn about transitive closure, their time complexity, count space complexity.
LR parsing is one type of bottom up parsing. In the LR parsing, "L" stands for left-to-right scanning of the input.
"R" stands for constructing a right most derivation in reverse.
Find Transitive closure of a Graph Using Warshall's AlgorithmSafayet Hossain
Here I actually describe how we can find transitive closure of a graph using warshall' algorithm. It will be easy to learn about transitive closure, their time complexity, count space complexity.
LR parsing is one type of bottom up parsing. In the LR parsing, "L" stands for left-to-right scanning of the input.
"R" stands for constructing a right most derivation in reverse.
I am Nigel J. I am a Computer Network Assignment Expert at computernetworkassignmenthelp.com. I hold a Master's in Computer Science from, the University of Glasgow, UK. I have been helping students with their assignments for the past 15 years. I solve assignments related to Computer Networks.
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Analysis and design of algorithms part2Deepak John
Analysis of searching and sorting. Insertion sort, Quick sort, Merge sort and Heap sort. Binomial Heaps and Fibonacci Heaps, Lower bounds for sorting by comparison of keys. Comparison of sorting algorithms. Amortized Time Analysis. Red-Black Trees – Insertion & Deletion.
I am Justin M. I am an Algorithm Design Exam Expert at programmingexamhelp.com. I hold a Bachelor of software engineering from, the University of Massachusetts Amherst, United States. I have been helping students with their exams for the past 9 years. You can hire me to take your exam in Algorithm Design.
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I am Anne L. I am an Algorithms Design Homework Expert at programminghomeworkhelp.com. I hold a Ph.D. in Programming, Auburn University, USA. I have been helping students with their homework for the past 8 years. I solve homework related to Algorithms Design.
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Slides talk about complete process of usability testing, extensively discusses usability components, phases of usability testing process and significance of designing with empathy
Convergent divergent thinking & wireframeprototypingPriyanka Rana
Slides talk about 2 approaches for creativity : convergent thinking & divergent thinking with examples. Also discusses the difference between prototype and wireframe along with their significance
Slides talk about importance & guidelines of sketching and story boarding. It discusses two approaches about "getting the design right" or getting the right design". Steps and Do's/Dont's of storyboarding
Mobile presence & location based marketingPriyanka Rana
Slides talk about value of mobile marketing , various tools and technologies that support mobile marketing along with discussion of location-based marketing.
Illustration of various types of Online marketing with examples.Slides talk about search engine marketing, display ads, affiliate marketing, lead generation marketing, native marketing, email marketing etc.
Slides gives basic understanding of e-strategy,e-commerce,e-business. Discuss unique features of e-commerce technology and different types of e-commerce with examples
Describes Map data structure, its methods and implementation using Hash tables & linked list along with their running time. Hash table components, bucket Array and hash function. Collision handing strategies: Separate chaining, Linear probing, quadratic probing, double hashing.
Ordered Maps and corresponding binary search
Describes basic understanding of priority queues, their applications, methods, implementation with sorted/unsorted list, sorting applications with insertion sort and selection sort with their running times.
Slides cover definition of tree data structure with examples, related terminologies, accessors methods, query methods, generic methods, traversal algorithms (preorder, postorder, inorder) traversal, Binary tree, Binary tree implementation using linked list and array, Binary search
Discuss seven functions, Analysis of algorithms- Experimental Studies/Primitive operations/Asymptotic notation- Big Oh/Big-Omega/Big-Theta
(Download is recommended to make the animations work)
Slides give the basic introduction of linked list, doubly linked list, circular linked list and operations related to it. It has animations, Download is recommended in order to make best out of animations
(Download is recommended to make the animations work)
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
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
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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.
2. Session 2 review
In list-based implementation of priority queue:
If we use unsorted lists:
insertion takes O(1) time
deletion takes O(n) time.
If we use sorted lists:
insertion takes O(n) time
deletion takes O(1) time.
5. Heap Data structure
Is a binary tree T that stores a collection of entries at its nodes
and satisfies two additional properties:
Order Property
Structure Property
6. Heap properties
Order Property:
For every internal node v, other than the root, key(v) ≥
key(parent(v)).
Structure Property:
A heap T with height h is a complete binary tree, i.e.:
for depth/level i < h, there are 2i nodes.
at depth h−1, the internal nodes are to the left of the external
nodes.
7. Heap data structure
The last node of a heap is the rightmost node of the
maximum depth.
2
65
89 Last node
8. Height of heap
A heap storing n keys has height h = [lg n]
For each depth i < h , there are 2i nodes and
at least one node at depth h. Thus,
n ≥ 20 + 21+ 22 + ... + 2h-1 + 1
≥ 1 + 2 + 4 + ... + 2h-1 + 1
≥ 2h
Which gives, h ≤ lgn.
9. Array list representation of heap
For the node at rank i
the left child is at rank 2i.
the right child is at rank 2i+1.
The cell at rank 0 is not used
A heap with n keys is represented by means of a array size n+1.
2
65
79
0 1 2 3 4 5
2 5 6 79
10. Insertion Algorithm
The insertion algorithm consists of three steps:
Find the insertion node z (i.e. the new last node).
Store k at z. (Here k=1)
Restore the heap-order property (discussed next).
2
65
79 2
5
79
z
Insertion Node
6
1
12. Removal from a heap
The removal algorithm consists of three steps:
Replace the root key with the key of the last node
w.
Remove w.
Restore the heap-order property (discussed next).
2
65
79 7
5
9
w
Last Node
6
New Last Node
14. Heap-sort
A heap-based priority queue, sorts a sequence of n
elements in O(nlgn) time.
performs n series of removeMin() operation.
Since each call of removeMin() takes O(lgn) time, sorting a
heap with n elements takes O(nlgn) time.
17. Adaptable Priority Queues
Priority queues which are adaptable.
When priority queue methods are not sufficient.
For example, in a standby airline passenger application.
18. Adaptable Priority Queue ADT
remove(e):
Remove from P and return e.
replaceKey(e, k):
Replace with k and return the key of entry e of P.
replaceValue(e, x):
Replace with x and return the value of entry e of P.
20. Location aware entry
mechanism for finding the position of entry e of Priority Queue P.
This position is called the location of the entry
implementation of an entry that keeps track of its position is called
location-aware entry.
21. List implementation of an adaptable
PQ
A location-aware list entry is an object storing
key
value
position (or rank) of the entry in the list.
22. Heap Implementation of an Adaptable PQ
A location-aware list entry is an object storing
key
value
position of the entry in the heap.
Order property is about every internal node whose key value must be greater than the key value of its parent.
Depth: number of ancestors a node has
Height: the height of a tree is given as the maximum depth of any node
// structure property considers a heap of height &quot;h&quot; a complete binary tree when:
its depth is less than its height and there are 2 raise to power of i nodes.
another condition is that at height h-1 , internal nodes are to the left of the external nodes that //
also means in a way that last node of a heap is the rightmost node of the maximum depth.
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this is about height of the heap, which is said to be as log n where n is the number of entries,
now here we consider //the structural property of heap which says that at depth i ,// heap has 2 raise to power of i nodes. and //hence using mathematical operations// and in the end taking// log on both sides it is easily proved that height is log of number of entries.
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We store a (key and value) for each entry item at each internal node, and keep track of the position of the last node.
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Insertion into heap has three steps. // // //
After the insertion of a new node, the heap-order property may be violated. we need to restore it by some swappings of the values stored at z with the entry stored in its ancestor nodes.//
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The upward movement of the newly inserted entry //by means of swaps is called up-heap bubbling. Since the heap has height lgn, up-heap runs in O(lgn) time.
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removal from a heap has three steps as well, // // // After replacing the root key with key k of the last node, again the heap-order property gets violated. Then we need to restore the heap-order by swapping the entries stored at root with the entries stored in its descendent nodes.// here The downward movement of the root entry by means of swaps is call down-heap bubbling. as the heap has height lgn, down-heap runs in O(lgn) time.
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Using a heap-based priority queue, we can sort a sequence of n elements in O(nlgn) time, we have already covered sorting in detail, heap sort is also similar. //The algorithm simply performs n series of removeMin() operation. //Since each call of removeMin() takes O(lgn) time, sorting a heap with n elements takes O(nlgn) time.
Traaversing takes O(logn) time --. Sorting takes O(nlog(n)) time
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lets see how two are merged together, lets say We are given two heaps and a key k. //We create a new heap with the root node storing k and with the two heaps as subtrees.// We perform down-heap bubbling to restore the heap-order property.
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APQ are the priority queues which are adaptable, //There are some situations where the basic methods of the priority queue ADT (given in previous section) are not sufficient. //For example, in a standby airline passenger application: A passenger may request to be removed from the waiting list.A passenger presents a document (e.g. gold frequent flyer card) that implies to update his/her order in the waiting list.a passenger notices her name is misspelled on the ticket and asks it to be corrected. So, we need the priority queues be adaptable.
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