This document discusses stacks and their applications, including evaluating postfix expressions and converting infix to postfix notation. It provides examples and algorithms for evaluating postfix expressions using a stack, as well as the infix to postfix conversion algorithm. The algorithm pushes operators onto a stack and displays or pops operators based on precedence. Practice problems are included to convert infix expressions to postfix notation.
The document discusses stacks and stack operations in C. It defines a stack as a linear data structure that follows the LIFO principle, where elements are added and removed from one end called the top. The key stack operations are PUSH to add an element, POP to remove an element, and DISPLAY to output the stack. It provides algorithms for implementing PUSH and POP and handling exceptions like stack overflow. The document also covers postfix notation, where operators follow operands, and the postfix evaluation algorithm using a stack.
A stack is a data structure where items can only be inserted and removed from one end. The last item inserted is the first item removed (LIFO). Common examples include stacks of books, plates, or bank transactions. Key stack operations are push to insert, pop to remove, and functions to check if the stack is empty or full. Stacks can be used to implement operations like reversing a string, converting infix to postfix notation, and evaluating arithmetic expressions.
The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. A stack has two main operations - push, which adds an element to the top of the stack, and pop, which removes the top element. Some key applications of stacks include implementing undo/redo features, converting infix expressions to postfix notation, and solving recursive backtracking problems. The document also describes how to evaluate expressions in postfix notation using a stack. Elements are pushed onto the stack as they are encountered, and when an operator is reached, elements are popped off to perform the operation before pushing the result back on.
The document discusses converting infix expressions to postfix expressions using a stack. It defines infix and postfix expressions, provides examples of each, and presents an algorithm that uses a stack to scan an infix expression from left to right and output an equivalent postfix expression. Key steps include pushing operators to the stack based on precedence and popping operators to the output when encountering operands and parentheses.
The document discusses evaluating arithmetic expressions in infix notation using stacks. It explains that two stacks will be used - an operand stack to store numbers and an operator stack to store operators. It then provides the step-by-step process for evaluating an expression using these stacks by popping operands, popping operators, and pushing results. An algorithm is given that iterates through the expression character by character, pushing operands and operators to the appropriate stacks according to precedence rules.
This document discusses stacks as a data structure. It defines a stack as a Last In First Out (LIFO) structure where newly added items are placed on top. The core stack operations of push, pop, and peek are described. An array implementation of a stack is presented, along with applications like checking for balanced braces, converting infix to postfix notation, and a postfix calculator. Pseudocode provides an algorithm for infix to postfix conversion using a stack.
STACK AND ITS OPERATIONS IN DATA STRUCTURES.pptxKALPANAC20
This document discusses stacks as a data structure. It defines a stack as a Last In First Out (LIFO) structure where the last item inserted is the first out. Key stack operations like push, pop, peek and isEmpty are described. Examples of stack applications include checking for balanced brackets, converting infix to postfix notation, implementing an undo/redo feature and recursion. The document also provides pseudocode for converting an infix expression to postfix using a stack and describes how a postfix calculator evaluates expressions.
The document discusses stacks and stack operations in C. It defines a stack as a linear data structure that follows the LIFO principle, where elements are added and removed from one end called the top. The key stack operations are PUSH to add an element, POP to remove an element, and DISPLAY to output the stack. It provides algorithms for implementing PUSH and POP and handling exceptions like stack overflow. The document also covers postfix notation, where operators follow operands, and the postfix evaluation algorithm using a stack.
A stack is a data structure where items can only be inserted and removed from one end. The last item inserted is the first item removed (LIFO). Common examples include stacks of books, plates, or bank transactions. Key stack operations are push to insert, pop to remove, and functions to check if the stack is empty or full. Stacks can be used to implement operations like reversing a string, converting infix to postfix notation, and evaluating arithmetic expressions.
The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. A stack has two main operations - push, which adds an element to the top of the stack, and pop, which removes the top element. Some key applications of stacks include implementing undo/redo features, converting infix expressions to postfix notation, and solving recursive backtracking problems. The document also describes how to evaluate expressions in postfix notation using a stack. Elements are pushed onto the stack as they are encountered, and when an operator is reached, elements are popped off to perform the operation before pushing the result back on.
The document discusses converting infix expressions to postfix expressions using a stack. It defines infix and postfix expressions, provides examples of each, and presents an algorithm that uses a stack to scan an infix expression from left to right and output an equivalent postfix expression. Key steps include pushing operators to the stack based on precedence and popping operators to the output when encountering operands and parentheses.
The document discusses evaluating arithmetic expressions in infix notation using stacks. It explains that two stacks will be used - an operand stack to store numbers and an operator stack to store operators. It then provides the step-by-step process for evaluating an expression using these stacks by popping operands, popping operators, and pushing results. An algorithm is given that iterates through the expression character by character, pushing operands and operators to the appropriate stacks according to precedence rules.
This document discusses stacks as a data structure. It defines a stack as a Last In First Out (LIFO) structure where newly added items are placed on top. The core stack operations of push, pop, and peek are described. An array implementation of a stack is presented, along with applications like checking for balanced braces, converting infix to postfix notation, and a postfix calculator. Pseudocode provides an algorithm for infix to postfix conversion using a stack.
STACK AND ITS OPERATIONS IN DATA STRUCTURES.pptxKALPANAC20
This document discusses stacks as a data structure. It defines a stack as a Last In First Out (LIFO) structure where the last item inserted is the first out. Key stack operations like push, pop, peek and isEmpty are described. Examples of stack applications include checking for balanced brackets, converting infix to postfix notation, implementing an undo/redo feature and recursion. The document also provides pseudocode for converting an infix expression to postfix using a stack and describes how a postfix calculator evaluates expressions.
The document discusses a team presentation on using a stack data structure to check for matching parentheses in an expression. It defines what a stack is, the push and pop operations, and provides pseudocode for algorithms to add and remove elements from a stack. It then explains how to use a stack to check an expression by pushing opening parentheses and popping closing ones, identifying whether the stack is empty after as a way to check matching. Examples of expressions are provided to demonstrate the algorithm.
The document discusses stacks and their applications. It defines a stack as a Last In First Out (LIFO) data structure. Key stack operations are described such as push, pop, and peek. An array implementation of a stack is presented and applications like checking balanced brackets, converting infix to postfix notation, and postfix calculators are covered. Example code and diagrams are provided to illustrate stack concepts and operations.
The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
The concept of stack is extremely important in computer science and .pdfarihantsherwani
The concept of stack is extremely important in computer science and is used in a wide variety of
problems. This assignment requires you to write a program that can be used to evaluate ordinary
arithmetic expressions that contains any of the five arithmetic operators (+, -, *, /, %).
This exercise requires three distinct steps, namely:-
Verify that the infix arithmetic expression (the original expression), that may contain regular
parentheses, is properly formed as far as parentheses are concerned.
If the parenthesized expression is properly formed, convert the expression from an infix
expression to its equivalent postfix expression, called Reverse Polish Notation (RPN) named
after the Polish Mathematician J. Lukasiewics.
Evaluate the postfix expression, and print the result.
Step 1 - Verify that the expression
Given an arithmetic expression, called an infixed expression, to verify that it is properly formed
as far as parentheses are concerned, do the following:
Create an empty stack to hold left parenthesis ONLY.
Scanned the arithmetic expression from left to right, one character at a time.
While there are more characters in the arithmetic expression
{
If the character is a left parenthesis ‘(‘, push it on to the stack. However if the character is a right
parenthesis, ‘)’, visit the stack and pop the top element from off the stack.
}
If the stack contains any element at the end of reading the arithmetic expression, then the
expression was not properly formed.
Step 2 - Convert infixed expression to postfix
Given that an arithmetic expression is properly form with respect to parentheses, do the
following:
Create an empty stack to hold any arithmetic operators and left parenthesis, ONLY.
A string to contain the postfix expression – the output from this conversion.
Scan the arithmetic expression from left to right.
While the are more symbols in the arithmetic expression,
{
After a symbol is scanned, there are four (4) basic rules to observed and apply accordingly:
If the symbol is an operand (a number), write it to the output string.
If the symbol is an operator and if the stack is empty, push the symbol on the stack.
Otherwise, if the symbol is either ‘(‘ or ‘)’, check for the following conditions:
If the symbol is ‘(‘, push on to the stack,
Otherwise
If the symbol is ‘)’
{
Pop everything from the operator stack down to the first ‘(‘. Write each item
popped from the stack to the output string. Do not write the item ‘)’. Discard it.
}
If the symbol scanned is an arithmetic operator, check for the following and apply accordingly:
If the operator on the top of the stack has higher or equal precedence, that operator is popped
from off the stack, and is written to the to the output string. This process is continues until one of
two things happen:
Either the first ‘(‘ is encountered. When this occurs, the ‘(‘ is removed from the stack and is
discarded, and the recently scanned symbol is placed on the stack
OR
The operator on the stack has lower preced.
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.
Data structures like stacks, queues, and priority queues can be implemented in Python using built-in data types and modules. Stacks follow LIFO order, with new items added to the top and removed from the top. Queues follow FIFO order, with new items added to the back and removed from the front. Priority queues order items by priority, so the highest or lowest priority item is removed first depending on the implementation.
This document discusses stacks and their implementation and applications. It can be summarized as:
1. Stacks are linear data structures that follow the LIFO (last in, first out) principle, where elements can only be inserted or removed from one end called the top. Common stack operations are push to add and pop to remove elements.
2. Stacks have two main implementations - using arrays or linked lists. Array implementations are faster but have size limits, while linked lists are dynamic. Push and pop operations on both are described.
3. Stacks have many applications including evaluating arithmetic expressions using postfix notation, which avoids the need for parentheses. The document describes converting expressions to postfix and an algorithm to evaluate them
The document describes implementing a queue using an array. It provides algorithms for enQueue() and deQueue() operations. EnQueue() inserts elements at the rear by incrementing rear and checking for full. DeQueue() deletes elements from the front by incrementing front and checking for empty. The queue uses front and rear pointers to manage insertion and deletion of elements based on FIFO principle using an underlying fixed-size array.
Stack is a linear data structure that follows the LIFO (Last In First Out) principle. Elements are inserted and removed from the top of the stack. Stack can be implemented using arrays or linked lists. Common stack operations are push, which adds an element to the top, and pop, which removes an element from the top.
The document discusses stacks and queues as abstract data types. It describes stacks as last-in, first-out (LIFO) data structures that can be implemented using arrays or linked lists. Elements are inserted and removed from one end, called the top. Similarly, queues are first-in, first-out (FIFO) structures where elements are inserted at the rear and removed from the front. Common operations for both include push/enqueue, pop/dequeue, isEmpty, and isFull. Example code demonstrates implementing stacks and queues in C using arrays and linked lists. Applications are given such as undo functions, method call stacks, and waiting lists.
The document discusses stacks as a linear data structure that follows LIFO (Last In First Out) order. Key points:
- Stacks allow insertions and deletions only at one end called the top.
- Common stack operations are push which adds an element to the top, and pop which removes an element from the top.
- Stacks have applications in converting infix to postfix notation and evaluating postfix expressions using a stack.
- Several examples are provided to demonstrate converting infix expressions to postfix and evaluating postfix expressions step-by-step using a stack.
The document discusses different applications of stacks including parsing in compilers, undo functions, back buttons in browsers, and Postscript printing languages. It then explains how arithmetic expressions are evaluated using value and operator stacks by pushing operands and operators onto the stacks and popping them off according to precedence rules. Finally, it provides an algorithm for converting infix notation expressions to postfix notation using an operator stack.
The document discusses converting expressions from infix to postfix notation. In infix notation, operators are between operands. In postfix notation, operators follow operands. The algorithm scans the infix expression left to right, appending operands to the output and handling operators and parentheses by pushing/popping from a stack based on precedence. An example converts the infix expression A * (B + C) - D / E to postfix AB+C*+DE/-.
The document discusses stacks and their implementation. It defines stacks as ordered collections where insertions and deletions occur at one end. Common stack operations like push and pop are described. Stacks can be implemented using arrays or linked lists. Various stack applications are mentioned like checking balanced symbols.
The document discusses expression trees and algorithms for evaluating postfix, infix, and constructing binary expression trees. It explains that a binary expression tree represents a mathematical expression where each leaf node contains an operand and each non-leaf node contains an operator. The tree shows the order of operations based on the level of each node. The algorithms for evaluating infix and constructing the tree are similar except that pointers to nodes are pushed onto the stack instead of values.
Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
1. The document discusses stacks and queues as linear data structures. It describes stack operations like push and pop and provides algorithms for implementing these operations.
2. An example program for implementing a stack using an array is presented, with functions defined for push, pop, and display operations on the stack.
3. Applications of stacks discussed include reversing a list or string by pushing characters onto a stack and popping them off in reverse order, and converting infix expressions to postfix using a stack.
This document discusses stacks and queues as data structures. It begins by describing stacks as having a last-in, first-out characteristic and common uses like method call order tracking. It then provides examples of implementing a stack using an array and manipulating elements by pushing and popping. The document also covers queues as having a first-in, first-out characteristic like a waiting line. It proposes a Queue interface and discusses challenges of array-based implementations versus using Java's LinkedList class.
The document describes stacks and queues. Stacks are linear lists that only allow insertions and deletions at one end, following the LIFO principle. Queues are linear lists that only allow insertions at one end and deletions at the other, following the FIFO principle. Common applications of stacks include expression evaluation and recursion, while queues are often used for task scheduling and message buffering.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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Similar to COMP1603 Stacks and RPN 2023 Recording (2).pptx
The document discusses a team presentation on using a stack data structure to check for matching parentheses in an expression. It defines what a stack is, the push and pop operations, and provides pseudocode for algorithms to add and remove elements from a stack. It then explains how to use a stack to check an expression by pushing opening parentheses and popping closing ones, identifying whether the stack is empty after as a way to check matching. Examples of expressions are provided to demonstrate the algorithm.
The document discusses stacks and their applications. It defines a stack as a Last In First Out (LIFO) data structure. Key stack operations are described such as push, pop, and peek. An array implementation of a stack is presented and applications like checking balanced brackets, converting infix to postfix notation, and postfix calculators are covered. Example code and diagrams are provided to illustrate stack concepts and operations.
The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
The concept of stack is extremely important in computer science and .pdfarihantsherwani
The concept of stack is extremely important in computer science and is used in a wide variety of
problems. This assignment requires you to write a program that can be used to evaluate ordinary
arithmetic expressions that contains any of the five arithmetic operators (+, -, *, /, %).
This exercise requires three distinct steps, namely:-
Verify that the infix arithmetic expression (the original expression), that may contain regular
parentheses, is properly formed as far as parentheses are concerned.
If the parenthesized expression is properly formed, convert the expression from an infix
expression to its equivalent postfix expression, called Reverse Polish Notation (RPN) named
after the Polish Mathematician J. Lukasiewics.
Evaluate the postfix expression, and print the result.
Step 1 - Verify that the expression
Given an arithmetic expression, called an infixed expression, to verify that it is properly formed
as far as parentheses are concerned, do the following:
Create an empty stack to hold left parenthesis ONLY.
Scanned the arithmetic expression from left to right, one character at a time.
While there are more characters in the arithmetic expression
{
If the character is a left parenthesis ‘(‘, push it on to the stack. However if the character is a right
parenthesis, ‘)’, visit the stack and pop the top element from off the stack.
}
If the stack contains any element at the end of reading the arithmetic expression, then the
expression was not properly formed.
Step 2 - Convert infixed expression to postfix
Given that an arithmetic expression is properly form with respect to parentheses, do the
following:
Create an empty stack to hold any arithmetic operators and left parenthesis, ONLY.
A string to contain the postfix expression – the output from this conversion.
Scan the arithmetic expression from left to right.
While the are more symbols in the arithmetic expression,
{
After a symbol is scanned, there are four (4) basic rules to observed and apply accordingly:
If the symbol is an operand (a number), write it to the output string.
If the symbol is an operator and if the stack is empty, push the symbol on the stack.
Otherwise, if the symbol is either ‘(‘ or ‘)’, check for the following conditions:
If the symbol is ‘(‘, push on to the stack,
Otherwise
If the symbol is ‘)’
{
Pop everything from the operator stack down to the first ‘(‘. Write each item
popped from the stack to the output string. Do not write the item ‘)’. Discard it.
}
If the symbol scanned is an arithmetic operator, check for the following and apply accordingly:
If the operator on the top of the stack has higher or equal precedence, that operator is popped
from off the stack, and is written to the to the output string. This process is continues until one of
two things happen:
Either the first ‘(‘ is encountered. When this occurs, the ‘(‘ is removed from the stack and is
discarded, and the recently scanned symbol is placed on the stack
OR
The operator on the stack has lower preced.
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.
Data structures like stacks, queues, and priority queues can be implemented in Python using built-in data types and modules. Stacks follow LIFO order, with new items added to the top and removed from the top. Queues follow FIFO order, with new items added to the back and removed from the front. Priority queues order items by priority, so the highest or lowest priority item is removed first depending on the implementation.
This document discusses stacks and their implementation and applications. It can be summarized as:
1. Stacks are linear data structures that follow the LIFO (last in, first out) principle, where elements can only be inserted or removed from one end called the top. Common stack operations are push to add and pop to remove elements.
2. Stacks have two main implementations - using arrays or linked lists. Array implementations are faster but have size limits, while linked lists are dynamic. Push and pop operations on both are described.
3. Stacks have many applications including evaluating arithmetic expressions using postfix notation, which avoids the need for parentheses. The document describes converting expressions to postfix and an algorithm to evaluate them
The document describes implementing a queue using an array. It provides algorithms for enQueue() and deQueue() operations. EnQueue() inserts elements at the rear by incrementing rear and checking for full. DeQueue() deletes elements from the front by incrementing front and checking for empty. The queue uses front and rear pointers to manage insertion and deletion of elements based on FIFO principle using an underlying fixed-size array.
Stack is a linear data structure that follows the LIFO (Last In First Out) principle. Elements are inserted and removed from the top of the stack. Stack can be implemented using arrays or linked lists. Common stack operations are push, which adds an element to the top, and pop, which removes an element from the top.
The document discusses stacks and queues as abstract data types. It describes stacks as last-in, first-out (LIFO) data structures that can be implemented using arrays or linked lists. Elements are inserted and removed from one end, called the top. Similarly, queues are first-in, first-out (FIFO) structures where elements are inserted at the rear and removed from the front. Common operations for both include push/enqueue, pop/dequeue, isEmpty, and isFull. Example code demonstrates implementing stacks and queues in C using arrays and linked lists. Applications are given such as undo functions, method call stacks, and waiting lists.
The document discusses stacks as a linear data structure that follows LIFO (Last In First Out) order. Key points:
- Stacks allow insertions and deletions only at one end called the top.
- Common stack operations are push which adds an element to the top, and pop which removes an element from the top.
- Stacks have applications in converting infix to postfix notation and evaluating postfix expressions using a stack.
- Several examples are provided to demonstrate converting infix expressions to postfix and evaluating postfix expressions step-by-step using a stack.
The document discusses different applications of stacks including parsing in compilers, undo functions, back buttons in browsers, and Postscript printing languages. It then explains how arithmetic expressions are evaluated using value and operator stacks by pushing operands and operators onto the stacks and popping them off according to precedence rules. Finally, it provides an algorithm for converting infix notation expressions to postfix notation using an operator stack.
The document discusses converting expressions from infix to postfix notation. In infix notation, operators are between operands. In postfix notation, operators follow operands. The algorithm scans the infix expression left to right, appending operands to the output and handling operators and parentheses by pushing/popping from a stack based on precedence. An example converts the infix expression A * (B + C) - D / E to postfix AB+C*+DE/-.
The document discusses stacks and their implementation. It defines stacks as ordered collections where insertions and deletions occur at one end. Common stack operations like push and pop are described. Stacks can be implemented using arrays or linked lists. Various stack applications are mentioned like checking balanced symbols.
The document discusses expression trees and algorithms for evaluating postfix, infix, and constructing binary expression trees. It explains that a binary expression tree represents a mathematical expression where each leaf node contains an operand and each non-leaf node contains an operator. The tree shows the order of operations based on the level of each node. The algorithms for evaluating infix and constructing the tree are similar except that pointers to nodes are pushed onto the stack instead of values.
Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
1. The document discusses stacks and queues as linear data structures. It describes stack operations like push and pop and provides algorithms for implementing these operations.
2. An example program for implementing a stack using an array is presented, with functions defined for push, pop, and display operations on the stack.
3. Applications of stacks discussed include reversing a list or string by pushing characters onto a stack and popping them off in reverse order, and converting infix expressions to postfix using a stack.
This document discusses stacks and queues as data structures. It begins by describing stacks as having a last-in, first-out characteristic and common uses like method call order tracking. It then provides examples of implementing a stack using an array and manipulating elements by pushing and popping. The document also covers queues as having a first-in, first-out characteristic like a waiting line. It proposes a Queue interface and discusses challenges of array-based implementations versus using Java's LinkedList class.
The document describes stacks and queues. Stacks are linear lists that only allow insertions and deletions at one end, following the LIFO principle. Queues are linear lists that only allow insertions at one end and deletions at the other, following the FIFO principle. Common applications of stacks include expression evaluation and recursion, while queues are often used for task scheduling and message buffering.
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
2. Covered so far
• ADTs – shows data structures and the
operations that can be performed on them,
but no implementation. E.g. Stack - Push, Pop
• Stack and Queue introduction
• Stack implementations – arrays and linked list
• Postfix evaluation – but this will be reviewed
2
3. Extra: USAGE OF STACKS
• Evaluation of postfix expressions : this idea is
used in the writing of calculator apps
• Checking if parentheses match in an
expression ((5 + 2) –don’t match
((7-8) + (9-5)) - match
how is stack used?
• Converting from infix to postfix
• Reverse a word and checking palindrome
• Tracking function calls in compilers
3
4. Using Stacks to Evaluate expressions
• Expressions must be in postfix form. Need to
convert from infix to postfix
• INFIX 5 + 2
• PREFIX + 5 2
• POSTFIX 5 2 + (operators come after relevant
operands)
• OTHER EXAMPLES (next slide)
4
5. INFIX ->POSTFIX EXAMPLE
• INFIX (8-4) * (5-2) + 6/2
= 4 * 3 + 3 = 15
• POSTFIX 8 4 - 5 2 - * 6 2 / +
A stack can be used to evaluate. (Later)
• There is another way to evaluate: Scan from
left to right and match operands with
operators and simplify. (next slide)
8 4 - 5 2 - * 6 2 / +
5
7. Evaluating a Postfix Expression
(Using a Stack)
• We can use a stack to track the operands for
the operators. Intermediate values are stored
on the stack
• See Algorithm on the following page
(Available on My Elearning)
7
8. Algorithm to Evaluate a Postfix
Expression
Stack usage: Store operands
• Initialize and empty stack.
• Repeat the following until the end of the expression is encountered:
– Get the next token (constant, variable, arithmetic operator) in
the RPN expression.
– If the token is an operand, push it onto the stack. If it is an
operator, then do the following:
• Pop the two top values from the stack. (If the stack does not
contain two items, an error due to a malformed RPN
expression has occurred and the evaluation is terminated.)
• Apply the operator to these two values.
• Push the resulting value back onto the stack.
• When the end of the expression is encountered, its value is at the
top of the stack (and in fact, must be the only value on the stack).
8 4 - 5 2 - * 6 2 / +
PUSH 8, PUSH 4. POP, POP
APPLY the – operator
PUSH RESULT = 4
Can you code the above algorithm?
8
9. DETAILED EVALUATION E.G.
Expression: INFIX: (8-4) * (5-2) + 6/2 is 4 * 3 + 3
= 15
Postfix 8 4 – 5 2 – * 6 2 / +
EVALUATION
SYM OPER? OPND? STACK COMMENT
8 Y 8 TOP PUSH 8
4 Y 8 4 TOP PUSH 4
- Y 4 TOP POP 4, 8, APPLY -, GET
4, PUSH RESULT (4)
5 Y 4 5 TOP PUSH 5
2 Y 4 5 2 TOP PUSH 2
- Y 4 3 TOP POP 2, 5, APPLY -,
PUSH(3)
9
10. DETAILED EVALUATION E.G.
Expression: INFIX: (8-4) * (5-2) + 6/2 is 4 * 3 + 3 = 15
Postfix 8 4 – 5 2 – * 6 2 / +
EVALUATION
SYM OPER? OPND? STACK COMMENT
* Y 12 TOP POP 3, 4 APPLY *,
PUSH RESULT 12
6 Y 12 6 TOP PUSH 6
2 Y 12 6 2 TOP PUSH 2
/ Y 12 3 TOP POP 2, 6 APPLY / PUSH
RESULT 3
+ Y 15 TOP POP 3, 12 APPLY +, PUSH
RESULT 15
15 IS FINAL ANSWER.
LATER: ALGORITHM FOR INFIX TO POSTFIX
10
11. INFIX TO POSTFIX CONVERSION
Stack usage: Store operators
Initialize an empty stack of operators.
While no error has occurred and the end of the infix expression has not been reached, do the
following:
Get the next input token (constant, variable, arithmetic operator, left parenthesis, right
parenthesis) in the infix expression.
If token is
A left parenthesis: Push it onto the stack.
A right parenthesis: Pop and display stack elements until a left parenthesis is
encountered. Do not display the left parenthesis. (It is an error if the stack becomes
empty with no left parenthesis found.)
An operator: If the stack is empty or token has higher priority than the top
stack element, push token onto the stack.
Otherwise, pop and display the top stack element; then repeat the comparison of
token with the new top stack item.
Note: A left parenthesis in the stack is assumed to have a lower priority than that of the
operators.
An operand: Display it.When end of expr is reached, pop and display all
remaining stack elements
-Leestma and Nyhoff
11
12. While no error has occurred and the end of the infix expression has not been
reached, do the following:
Get the next input token (constant, variable, arithmetic operator, left
parenthesis, right parenthesis) in the infix expression.
If token is
A left parenthesis: Push it onto the stack.
A right parenthesis: Pop and display stack elements until a left
parenthesis is encountered. Do not display the left parenthesis. (It is an
error if the stack becomes empty with no left parenthesis found.)
An operator: If the stack is empty or token has higher priority than
the top stack element, push token onto the stack.
Otherwise, pop and display the top stack element; then repeat the
comparison of token with the new top stack item.
Note: A left parenthesis in the stack is assumed to have a lower priority than that of
the operators.
An operand: Display it.
{At end, pop and display stack elements}
12
13. While no error has occurred and the end of the infix
expression has not been reached, do the following:
Get the next input token (constant, variable,
arithmetic operator, left parenthesis, right
parenthesis) in the infix expression.
If token is
A left parenthesis: Push it onto the stack.
A right parenthesis: Pop and display stack
elements until a left parenthesis is encountered.
Do not display the left parenthesis. (It is an
error if the stack becomes empty with no left
parenthesis found.)
13
14. An operator: If the stack is empty or token
has higher priority than the top stack element,
push token onto the stack.
Otherwise, pop and display the top stack
element; then repeat the comparison of token
with the new top stack item.
Note: A left parenthesis in the stack is assumed to
have a lower priority than that of the operators.
An operand: Display it.
{At end, pop and display stack elements}
14
15. Left brackets must be stacked
15
A left
parenthesis:
Push it onto the
stack.
A right
parenthesis:
Pop and display
stack elements
until a left
parenthesis is
encountered.
Do not display
the left
parenthesis.
An operator: If
the stack is
empty or token
has higher
priority than
the top stack
element, push
token onto the
stack.
An operand:
Display it.
Otherwise, pop and display
the top stack element; then
repeat the comparison of
token with the new top
stack item.
16. A left parenthesis in the stack is
assumed to have a lower priority than
that of the operators.
16
A left
parenthesis:
Push it onto the
stack.
A right
parenthesis:
Pop and display
stack elements
until a left
parenthesis is
encountered.
Do not display
the left
parenthesis.
An operator: If
the stack is
empty or token
has higher
priority than
the top stack
element, push
token onto the
stack.
An operand:
Display it. Otherwise, pop and display the top stack
element; then repeat the comparison of token
17. Practice
• Illustrate how (7-3) * (9-8/4) can be converted
to postfix.
-Postfix result on next slide.
• - Students to attempt (with diagram during
lecture)
17
19. (7-3) * (9-8/4) to postfix
Sym Comment Stack Output
( Push ( ( T
7 Output operand ( T 7
- Push – as prior > ( ( - T 7
3 Output operand ( - T 7 3
) Pop and display until ( Empty 7 3 –
* Push * * T 7 3 -
( Push ( * ( T 7 3 -
9 Output operand * ( T 7 3 – 9
- Push – as prior > ( * (- T 7 3 - 9
8 Output operand * (- T 7 3 – 9 8
19
A left
parenthesis:
Push it onto the
stack.
A right
parenthesis:
Pop and display
stack elements
until a left
parenthesis is
encountered.
Do not display
the left
parenthesis.
An operator: If
the stack is
empty or token
has higher
priority than
the top stack
element, push
token onto the
stack.
An operand:
Display it.
Otherwise, pop and display the top stack element; then repeat the
20. (7-3) * (9-8/4) to postfix
Sym Comment Stack Output
LAST STEP:
8 Output operand * (- T 7 3 – 9 8
/ ‘/’ prior > ‘-’ prior . Push / * (- / T 7 3 – 9 8
4 Output operand * (- / T 7 3 – 9 8 4
) Pop and display until ( * (- / T 7 3 – 9 8 4 / -
Discard (
* T
END
Pop and display remaining stack elements
FINAL OUTPUT 7 3 – 9 8 4 / - *
20
A left
parenthesis:
Push it onto the
stack.
A right
parenthesis:
Pop and display
stack elements
until a left
parenthesis is
encountered.
Do not display
the left
parenthesis.
An operator: If
the stack is
empty or token
has higher
priority than
the top stack
element, push
token onto the
stack.
An operand:
Display it.
Otherwise, pop and display the top stack element; then repeat the
23. Checking balanced parentheses
(5 + 2 ) + 3(
Push (
When ) encountered, pop ( - stack is empty
Push (
End of expression reached. Error since stack is
not empty.
23