The document discusses stacks and their implementation and operations. It defines a stack as a linear data structure that follows the LIFO principle. Stacks can be implemented using arrays or linked lists. The two main operations on a stack are push and pop. Push adds an element to the top of the stack, while pop removes an element from the top. The document provides examples of these operations and discusses applications of stacks such as converting infix to postfix notation.
a presentation covering all the topics on Stacks and Queues in Data Structures using C++. Includes self explanatory diagrams, algorithms and program pieces.
STACK ( LIFO STRUCTURE) - Data StructureYaksh Jethva
Stack which is known as LIFO structure.Which is type of the Linear data structure and it is Non-Primitive data structure.
Definition:Non primitive data structure are not a basic data structure and depends on other primitive data structure (Integer,float etc).
Non primitive data structure can't be operated by machine level instruction directly.
Data structure Stack presentation for university student .this presentation created by "Sheikh-Monirul-Hasan " in Department of computer science at Green University of Bangladesh.
a presentation covering all the topics on Stacks and Queues in Data Structures using C++. Includes self explanatory diagrams, algorithms and program pieces.
STACK ( LIFO STRUCTURE) - Data StructureYaksh Jethva
Stack which is known as LIFO structure.Which is type of the Linear data structure and it is Non-Primitive data structure.
Definition:Non primitive data structure are not a basic data structure and depends on other primitive data structure (Integer,float etc).
Non primitive data structure can't be operated by machine level instruction directly.
Data structure Stack presentation for university student .this presentation created by "Sheikh-Monirul-Hasan " in Department of computer science at Green University of Bangladesh.
In C++ a function used to put data into a stack is typically called a.docxtristans3
In C++ a function used to put data into a stack is typically called a what?
Solution
Push function used to put data into a stack
A Stack is a data structure which works on the principle LIFO(Last In, First Out).The basic operations in a Stack are :
1. Push : In which we push the data into the stack.
2. Pop : In which we remove an element from the Stack.
All insertions and removals are done only from one side of the Stack , which is called the \'top\' of the Stack.
A stack is generally used in function calls where the local variables are pushed onto the Stack and when the function returns ,
it pops the variables from the Stack.
// Push operation to insert an element on top of stack.
void Push(int x)
{
if(top == MAX_SIZE -1) { // overflow case.
cout<<\"Error: stack overflow\ \";
return;
}
A[++top] = x;
}
.
Stack and Queue.pptx university exam preparationRAtna29
Queues and stacks are dynamic while arrays are static. So when we require dynamic memory we use queue or stack over arrays. Stacks and queues are used over arrays when sequential access is required. To efficiently remove any data from the start (queue) or the end (stack) of a data structure
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. INTRODUCTION TO
STACK
DEFINITION:
A stack is a data structure that provides temporary storage of data
in such
a way that theelement stored last will be retrieved first.
This method is also called LIFO – Last In First Out.
EXAMPLE:
In real life we can think of stack as a stack of copies, stack of plates
etc. The first copy put in the stack is the last one to be removed.
Similarly last copy to put in the stack is the first one to be removed.
3. OPERATIONS ON
STACK
A stack is a linear data structure.
It is controlled by two operations: push and pop.
Both the operations take place from one end of the stack,
usually called top. Top points to the current top position of
the stack.
Push operation adds an element to the top of the stack.
Pop operation removes an element from the top of the
stack.
These two operations implements the LIFO method .
5. STACK AS AN
ARRAY
Array implementation of stack
uses
an array to store data
an integer type variable usually called the top,
which points to the top of the stack.
NOTE: The variable top contains the index
number of the top most filled element of the
array.
30
20
10
2
4
3
2
1
0
TOP
6. PUSH
OPERATION
Initially when the stack is empty, TOP can have any
integer value other than any valid index number of the
array. Let TOP =
-1;
The first element in the empty stack goes to the 0th
position of the array and the Top is initialized to value 0.
After this every push operation increase the TOP by
1 and inserts new data at that particular position.
As arrays are fixed in length, elements can not be
inserted beyond the maximum size of the array.
Pushing data beyond the maximum size of the stack
results in “data overflow”.
8. POP OPERATION
The pop operation deletes the most recently entered item from
the stack.
Any attempt to delete an element from the empty stack results
in “data underflow” condition.
The variableTOPcontains the index number of the current top
position ofthe stack.
Eachtime the pop operation is performed, theTOPvariable is
decremented by1.
10. APPLICATIONS OF STACK
Astack is anappropriate data structure on which information is stored and
then later retrieved in reverse order.The application of stack areasfollows:
When a program executes, stack is used to store the return address at time
of function call. After the execution of the function is over, return address is
popped from stackand control is returned back to the calling function.
Converting an infix expression o postfix operation and to evaluate the
postfix expression.
Reversingan array, converting decimal number into binary number etc.
11. INFIX AND POSTFIX OPERATIONS
The infix expression is aconventional algebraic expression, in
which the operator is in between the operands.
For example:a+b
In the postfix expression the operator is placed after the
operands.
For example:ab+
12. NEED OF POSTFIX EXPRESSION
The postfixexpressions are special because
They do notuseparenthesis
The order of expression is uniquely reconstructed from the
expression itself.
Theseexpressions are useful in computer applications.
13. CONVERTING INFIX TO POSTFIX EXPRESSION
CONVERT_I_P(I,P
,STACK) Where I =infix expression, P=postfix expression,STACK=stack asan array
Step1.Push‘(‘ into STACKandadd‘)’to the endof I.
Step2.ScanexpressionIfrom left to right andrepeatsteps3-6for eachelement of I untilthe stack is
empty.
Step3.If scannedelement =‘(‘, pushit into the STACK. Step4.If
scannedelement =operand,addit to P
.
Step5.If scannedelement =operator,then:
a)Repeatedly pop from STACKand add to Peachoperator from the top of the stackuntil
the operatorat the top of the stackhaslower precedencethan the operatorextracted from I.
b) Addscannedoperatorto the top of theSTACK. Step6.If
scannedelement =‘)’then:
c)RepeatedlypopfromSTACKandaddto Peachoperatoruntil the left parenthesis is
encountered.
d) Popthe left parenthesisbut do not addto P
.
14. CONVERTING INFIXTO POSTFIX EXPRESSION
QConvert the following infix operation to
postfix operation.
((TRUE&& FALSE)|| ! (FALSE|| TRUE))
Ans.The Postfix expression is:
TRUE FALSE&& FALSETRUE|| ! ||
15. EVALUATION OF POSTFIX EXPRESSION
Evaluate(P, result, STACK)
where P=Postfix expression,STACK=stack,result=to hold the result of evaluation
Step 1.Scanthe postfix expression Pfrom left to right and repeat the steps 2, 3
until theSTACKis empty.
Step 2. If the scanned element =operand,pushit into the STACK.
Step 3. If the scanned element =operator,then
a) Popthe two operands viz operandAand operand Bfrom the STACK.
b) Evaluate ((operand B)operator (operandA))
c) Pushthe result of evaluation into the STACK.
Step 4.Set result=top most element of the STACK.
17. STACK AS A LINKED LIST
Linked list implementation of stack uses
Alinked list to store data
ApointerTOPpointing to the top most position of the stack.
NOTE:Eachnode of astack asalinked list hastwo parts : data part and link part and
is created with the help of self referential structure.
Thedata part stores the data and link part stores the addressof the next node of the
linked list.
NODE
TOP
DATA LINK
19. PROGRAM TO ILLUSTRATE OPERATIONS ON STACK
AS A LINKED LIST :Explanation
struct node
{
int roll;
charname[20];
float total;
node *next;
};
Self Referential Structure:Theseare specialstructures which
contains pointers tothemselves.
Here, next is apointer of type node itself.
Self Referential structures are needed to create Linked Lists.
classstack
{
node*top;
public :
stack()
{ top=NULL;}
void push();
void pop();
void display();
};
classstack: It contains pointerTOPwhich will point to the top
of thestack.
Theconstructor function initializesTOPto NULL.
20. PROGRAM TO ILLUSTRATE OPERATIONS ON STACK
AS A LINKED LIST :Explanation
void stack::push()
{
node *temp; // pointer of type node
temp=new node; // new operator will create a new
//node and address of new node
// is stored in temp
cout<<"Enter roll:";
Theselines will input
values into roll , name
and total of newly
created node.
cin>>temp->roll;
cout<<"Enter name:";
cin>>temp->name;
cout<<"Enter total:";
cin>>temp->total;
temp->next=top; // address stored in TOPgets
//stored in next of newly
//created node.
top=temp; // Topwill contain address of
// newly created node
}
void stack::pop()
{
if(top!=NULL) // if stack is not empty
{
node *temp=top; // temp is a pointer
//containing address of first node
top=top->next; // top will now containaddress of
//second node
cout<<temp->roll<<
temp->name<<temp->total
<<"deleted";
//This line will display
//data stored in
// deleted node
delete temp; // delete operator will delete the node
// stored attemp
}
else
cout<<"Stack empty";}