The document discusses B+ trees, which are self-balancing search trees used to store data in databases. It defines B+ trees, provides examples, and explains how to perform common operations like searching, insertion, and deletion on B+ trees in a way that maintains the tree's balanced structure. Key aspects are that B+ trees allow fast searching, maintain balance during operations, and improve performance over other tree structures for large databases.
Here are the key entities and relationships based on the information provided:
Entities:
- Department
- Employee
- Supervisor
- Project
Relationships:
- Department has one supervisor (1:1)
- Department has many employees (1:M)
- Employee works in one or more departments (M:N)
- Project has many employees assigned (1:M)
- Employee works on one or more projects (M:N)
The important attributes that uniquely identify each entity are also specified, such as employee number, department code, project number. This provides the foundation for modeling the database schema to represent these real world entities and relationships.
This document discusses database normalization and anomalies. It defines three types of anomalies: insert, delete, and update anomalies. Examples are provided for each. The document then explains the three normal forms - 1st, 2nd, and 3rd normal form. The requirements for each normal form are defined and examples are used to illustrate how normalization reduces anomalies by eliminating redundant data and non-key dependencies from tables.
Counting sort is an algorithm that sorts elements by counting the number of occurrences of each unique element in an array. It works by:
1) Creating a count array to store the count of each unique object in the input array.
2) Modifying the count array to store cumulative counts.
3) Creating an output array by using the modified count array to output elements in sorted order.
1) O documento discute incremento, decremento e operadores lógicos e de comparação em JavaScript, incluindo exemplos de seu uso.
2) Também apresenta estruturas de controle como if/else, switch, for e while para controlar o fluxo do programa, com exemplos de cada uma.
3) Por fim, fornece exercícios para praticar os conceitos apresentados, como validar senhas, ordenar números e calcular médias e somas usando as estruturas estudadas.
Este documento introduce los conceptos básicos de macros en Excel. Explica que las macros permiten automatizar tareas repetitivas mediante una serie de comandos agrupados. Detalla cómo crear macros utilizando la grabadora de macros o el editor de Visual Basic, y aborda consideraciones de seguridad al usar macros debido a que pueden contener virus.
This document discusses SQL commands for creating, deleting, and emptying database tables. It provides the syntax and examples for the CREATE TABLE, DROP TABLE, and TRUNCATE TABLE statements. The CREATE TABLE statement is used to create a new database table with specified columns and data types. DROP TABLE completely removes a table from the database while TRUNCATE TABLE empties all records but keeps the table structure.
O documento discute diferentes modelos de bancos de dados e sistemas de gerenciamento de bancos de dados (SGBDs), incluindo MySQL, Oracle, Microsoft SQL Server e PostgreSQL. Ele fornece detalhes sobre as características e funcionalidades de cada um.
This document discusses using Python to interact with SQLite databases. It provides examples of how to connect to an SQLite database, create tables, insert/update/delete records, and query the database. Key points covered include using the sqlite3 module to connect to a database, getting a cursor object to execute SQL statements, and various cursor methods like execute(), executemany(), fetchone(), fetchall(), commit(), and close(). Example code is given for common SQLite operations like creating a table, inserting records, updating records, deleting records, and selecting records.
This document provides an introduction to compilers, including definitions of key terms like source code, target code, and compiler phases. It describes the main stages in compilation: scanning, parsing, semantic analysis, intermediate code generation, code optimization, and code generation. It also discusses important data structures like symbol tables, literal tables, and parse trees. Finally, it reviews the history of compilers from the 1930s to the 1970s and development of technologies like assemblers, recursive descent parsing, and LR parsing.
This document discusses data structures and algorithms. It defines data types and data structures, and provides examples of common data structures like arrays, linked lists, stacks, queues, and trees. It also discusses operations on data structures like traversing, searching, inserting, and deleting. Algorithms are used to manipulate the data in data structures. The time and space complexity of algorithms are also introduced. Overall, the document provides an overview of key concepts related to data structures and algorithms.
1) O documento discute processos, threads e suas relações no sistema operacional. Processos podem ter vários threads executando simultaneamente compartilhando o mesmo espaço de memória.
2) É explicada a estrutura de um processo incluindo contexto de hardware, software e espaço de endereçamento. Processos podem estar em diferentes estados como executando, pronto ou espera.
3) Threads são partes de um processo que executam concorrentemente, proporcionando paralelismo dentro do mesmo processo. Isso traz vantagens de desempenho em compara
This document provides an overview of Visual Basic and its evolution. It discusses:
1) The origins and early history of Visual Basic, from its beginnings as BASIC in the 1960s to the introduction of Visual Basic in 1991.
2) The major features of Visual Basic, including its integrated development environment, support for graphical user interfaces, event handling, object-oriented programming, and rapid application development capabilities.
3) The introduction and features of VB.NET in 2000, including enhanced language interoperability, support for internet features and web services, improved object orientation, and platform independence.
This document provides an introduction to Visual Basic (VB). It describes VB as an evolved version of BASIC that is visual and event-driven. The VB environment contains a blank form window to design interfaces, a project window to view files, and a toolbox of controls. It also explains how to create a standard executable program in VB and describes the main components of the VB environment.
The document discusses Big O notation, which is used to classify algorithms based on how their running time scales with input size. It provides examples of common Big O notations like O(1), O(log n), O(n), O(n^2), and O(n!). The document also explains that Big O looks only at the fastest growing term as input size increases. Well-chosen data structures can help reduce an algorithm's Big O complexity. For example, searching a sorted list is O(log n) rather than O(n) for an unsorted list.
The document discusses fundamentals of assembly language including instruction execution and addressing, directives, procedures, data types, arithmetic instructions, and a practice problem. It explains that instructions are translated to object code while directives control assembly but generate no machine code. Common directives include TITLE, STACK, DATA, CODE, and PROC. Data can be defined using directives like DB, DW, DD, DQ. Instructions like ADD, SUB, MUL, DIV perform arithmetic calculations on registers and memory.
linked list in Data Structure, Simple and Easy TutorialAfzal Badshah
A linked list is a linear data structure where elements are linked using pointers. Each element contains a data field and a pointer to the next node. Linked lists allow for efficient insertion and deletion, but random access is slow. There are several types of linked lists including singly linked, doubly linked, and circular linked lists. Singly linked lists only traverse in one direction while doubly linked lists can traverse forwards and backwards. Circular linked lists connect the first and last nodes so the list has no end.
Neste slide iniciamos a programação em C, apresentando a sintaxe, o escopo inicial para iniciar a programação utilizando a ferramenta DevC++ [Aula para curso técnico]
Este documento discute heaps binomiais, que são estruturas de dados eficientes para implementar filas de prioridade. Ele descreve a representação de heaps binomiais como conjuntos de árvores binomiais e apresenta algoritmos para criar, inserir, unir, remover e decrementar elementos em heaps binomiais. Finalmente, discute aplicações como escalonamento por prioridades.
Segment trees allow storing interval data and supporting efficient range update and query operations. A segment tree is a binary tree where each node represents an interval. It is constructed by recursively splitting intervals into two halves. This allows updating and querying intervals in O(log n) time. Operations include constructing the tree by inserting values, updating a value, and querying a range by traversing relevant nodes. Segment trees have applications in computational geometry and geographic information systems by supporting fast range minimum/maximum queries.
1. Fundamental Concept - Data Structures using C++ by Varsha Patilwidespreadpromotion
This document provides an overview of key concepts related to data structures and algorithms using C++. It discusses fundamental topics like data types, data objects, abstract data types, and data structures. It also covers algorithms, including their characteristics, design tools like pseudocode and flowcharts, and complexity analysis using Big O notation. Finally, it introduces software engineering concepts like the software development life cycle and its main phases of analysis, design, implementation, testing and verification.
This document defines database and DBMS, describes their advantages over file-based systems like data independence and integrity. It explains database system components and architecture including physical and logical data models. Key aspects covered are data definition language to create schemas, data manipulation language to query data, and transaction management to handle concurrent access and recovery. It also provides a brief history of database systems and discusses database users and the critical role of database administrators.
Oracle Database is a relational database management system produced by Oracle Corporation. It stores data logically in tables, tablespaces, and schemas, and physically in datafiles. The database, SGA (containing the buffer cache, redo log buffer, and shared pool), and background processes like SMON, PMON, and DBWR work together for high performance and reliability. Backup methods and administrative tasks help maintain the database.
O documento discute matrizes bidimensionais, incluindo sua declaração, acesso a elementos, laços de repetição para percorrer todos os elementos, e um exemplo de função para somar duas matrizes e armazenar o resultado em uma terceira matriz.
1) Tree data structures involve nodes that can have zero or more child nodes and at most one parent node. Binary trees restrict nodes to having zero, one, or two children.
2) Binary search trees have the property that all left descendants of a node are less than the node's value and all right descendants are greater. This allows efficient searching in O(log n) time.
3) Common tree operations include insertion, deletion, and traversal. Balanced binary search trees use rotations to maintain balance during these operations.
This chapter discusses data modeling using the Entity-Relationship (ER) model. It covers key concepts such as entities, attributes, relationships, and relationship types. It presents an example database application for a company and develops its ER diagram. The chapter also discusses ER diagram notation for representing various model constructs including weak entities, recursive relationships, and structural constraints. Finally, it briefly mentions tools for data modeling and limitations of current tools.
Dokumen tersebut memberikan penjelasan mengenai konsep dasar data mining klasifikasi, proses klasifikasi menggunakan algoritma Naive Bayes, serta contoh kasus klasifikasi menggunakan atribut usia, pendapatan, pekerjaan, dan punya deposito atau tidak.
O documento discute diferentes modelos de bancos de dados e sistemas de gerenciamento de bancos de dados (SGBDs), incluindo MySQL, Oracle, Microsoft SQL Server e PostgreSQL. Ele fornece detalhes sobre as características e funcionalidades de cada um.
This document discusses using Python to interact with SQLite databases. It provides examples of how to connect to an SQLite database, create tables, insert/update/delete records, and query the database. Key points covered include using the sqlite3 module to connect to a database, getting a cursor object to execute SQL statements, and various cursor methods like execute(), executemany(), fetchone(), fetchall(), commit(), and close(). Example code is given for common SQLite operations like creating a table, inserting records, updating records, deleting records, and selecting records.
This document provides an introduction to compilers, including definitions of key terms like source code, target code, and compiler phases. It describes the main stages in compilation: scanning, parsing, semantic analysis, intermediate code generation, code optimization, and code generation. It also discusses important data structures like symbol tables, literal tables, and parse trees. Finally, it reviews the history of compilers from the 1930s to the 1970s and development of technologies like assemblers, recursive descent parsing, and LR parsing.
This document discusses data structures and algorithms. It defines data types and data structures, and provides examples of common data structures like arrays, linked lists, stacks, queues, and trees. It also discusses operations on data structures like traversing, searching, inserting, and deleting. Algorithms are used to manipulate the data in data structures. The time and space complexity of algorithms are also introduced. Overall, the document provides an overview of key concepts related to data structures and algorithms.
1) O documento discute processos, threads e suas relações no sistema operacional. Processos podem ter vários threads executando simultaneamente compartilhando o mesmo espaço de memória.
2) É explicada a estrutura de um processo incluindo contexto de hardware, software e espaço de endereçamento. Processos podem estar em diferentes estados como executando, pronto ou espera.
3) Threads são partes de um processo que executam concorrentemente, proporcionando paralelismo dentro do mesmo processo. Isso traz vantagens de desempenho em compara
This document provides an overview of Visual Basic and its evolution. It discusses:
1) The origins and early history of Visual Basic, from its beginnings as BASIC in the 1960s to the introduction of Visual Basic in 1991.
2) The major features of Visual Basic, including its integrated development environment, support for graphical user interfaces, event handling, object-oriented programming, and rapid application development capabilities.
3) The introduction and features of VB.NET in 2000, including enhanced language interoperability, support for internet features and web services, improved object orientation, and platform independence.
This document provides an introduction to Visual Basic (VB). It describes VB as an evolved version of BASIC that is visual and event-driven. The VB environment contains a blank form window to design interfaces, a project window to view files, and a toolbox of controls. It also explains how to create a standard executable program in VB and describes the main components of the VB environment.
The document discusses Big O notation, which is used to classify algorithms based on how their running time scales with input size. It provides examples of common Big O notations like O(1), O(log n), O(n), O(n^2), and O(n!). The document also explains that Big O looks only at the fastest growing term as input size increases. Well-chosen data structures can help reduce an algorithm's Big O complexity. For example, searching a sorted list is O(log n) rather than O(n) for an unsorted list.
The document discusses fundamentals of assembly language including instruction execution and addressing, directives, procedures, data types, arithmetic instructions, and a practice problem. It explains that instructions are translated to object code while directives control assembly but generate no machine code. Common directives include TITLE, STACK, DATA, CODE, and PROC. Data can be defined using directives like DB, DW, DD, DQ. Instructions like ADD, SUB, MUL, DIV perform arithmetic calculations on registers and memory.
linked list in Data Structure, Simple and Easy TutorialAfzal Badshah
A linked list is a linear data structure where elements are linked using pointers. Each element contains a data field and a pointer to the next node. Linked lists allow for efficient insertion and deletion, but random access is slow. There are several types of linked lists including singly linked, doubly linked, and circular linked lists. Singly linked lists only traverse in one direction while doubly linked lists can traverse forwards and backwards. Circular linked lists connect the first and last nodes so the list has no end.
Neste slide iniciamos a programação em C, apresentando a sintaxe, o escopo inicial para iniciar a programação utilizando a ferramenta DevC++ [Aula para curso técnico]
Este documento discute heaps binomiais, que são estruturas de dados eficientes para implementar filas de prioridade. Ele descreve a representação de heaps binomiais como conjuntos de árvores binomiais e apresenta algoritmos para criar, inserir, unir, remover e decrementar elementos em heaps binomiais. Finalmente, discute aplicações como escalonamento por prioridades.
Segment trees allow storing interval data and supporting efficient range update and query operations. A segment tree is a binary tree where each node represents an interval. It is constructed by recursively splitting intervals into two halves. This allows updating and querying intervals in O(log n) time. Operations include constructing the tree by inserting values, updating a value, and querying a range by traversing relevant nodes. Segment trees have applications in computational geometry and geographic information systems by supporting fast range minimum/maximum queries.
1. Fundamental Concept - Data Structures using C++ by Varsha Patilwidespreadpromotion
This document provides an overview of key concepts related to data structures and algorithms using C++. It discusses fundamental topics like data types, data objects, abstract data types, and data structures. It also covers algorithms, including their characteristics, design tools like pseudocode and flowcharts, and complexity analysis using Big O notation. Finally, it introduces software engineering concepts like the software development life cycle and its main phases of analysis, design, implementation, testing and verification.
This document defines database and DBMS, describes their advantages over file-based systems like data independence and integrity. It explains database system components and architecture including physical and logical data models. Key aspects covered are data definition language to create schemas, data manipulation language to query data, and transaction management to handle concurrent access and recovery. It also provides a brief history of database systems and discusses database users and the critical role of database administrators.
Oracle Database is a relational database management system produced by Oracle Corporation. It stores data logically in tables, tablespaces, and schemas, and physically in datafiles. The database, SGA (containing the buffer cache, redo log buffer, and shared pool), and background processes like SMON, PMON, and DBWR work together for high performance and reliability. Backup methods and administrative tasks help maintain the database.
O documento discute matrizes bidimensionais, incluindo sua declaração, acesso a elementos, laços de repetição para percorrer todos os elementos, e um exemplo de função para somar duas matrizes e armazenar o resultado em uma terceira matriz.
1) Tree data structures involve nodes that can have zero or more child nodes and at most one parent node. Binary trees restrict nodes to having zero, one, or two children.
2) Binary search trees have the property that all left descendants of a node are less than the node's value and all right descendants are greater. This allows efficient searching in O(log n) time.
3) Common tree operations include insertion, deletion, and traversal. Balanced binary search trees use rotations to maintain balance during these operations.
This chapter discusses data modeling using the Entity-Relationship (ER) model. It covers key concepts such as entities, attributes, relationships, and relationship types. It presents an example database application for a company and develops its ER diagram. The chapter also discusses ER diagram notation for representing various model constructs including weak entities, recursive relationships, and structural constraints. Finally, it briefly mentions tools for data modeling and limitations of current tools.
Dokumen tersebut memberikan penjelasan mengenai konsep dasar data mining klasifikasi, proses klasifikasi menggunakan algoritma Naive Bayes, serta contoh kasus klasifikasi menggunakan atribut usia, pendapatan, pekerjaan, dan punya deposito atau tidak.
The document discusses different types of controls in Visual Basic, including intrinsic controls found in the toolbox and ActiveX controls loaded via components. It describes menu controls, how to open the menu editor, and various properties that can be set for menu items like caption, checked status, visibility and enabled status. Pop-up menus are described as menus activated by right-clicking.
This document provides a guide to Pascal programming on Silicon Graphics systems. It describes the Pascal implementation including extensions to names, constants, statements, declarations, predefined procedures and functions, I/O, data types, parameters, and compiler notes. It also covers compiling, linking, and running Pascal programs, and details the storage mapping of arrays, records, and variant records in memory. The document is proprietary to Silicon Graphics and contains information to assist with Pascal programming on their systems.
The document discusses arrays in C programming. It defines an array as a group of related data items that share a common name, with each item indicated by an index number. One-dimensional arrays can be represented with a single subscript, while multi-dimensional arrays use multiple subscripts to reference elements by row and column. The document also covers declaring, initializing, and accessing arrays, including examples of one-dimensional, two-dimensional, and multi-dimensional arrays in C.
This document discusses arrays in Microsoft Visual Basic 2005. Arrays allow storing and manipulating multiple values of the same type. Arrays must be declared with a specified size or upper bound. Individual elements can then be accessed using an index number. Loops are commonly used to iterate through arrays to apply the same processing to each element or search for matching values. Parallel arrays use corresponding elements of different arrays to logically link related data.
This document discusses looping structures in algorithms and programming. It defines looping as repeating statements to fulfill a looping condition. The main types of looping structures are for, while, and repeat loops. Examples are given in pseudocode and Pascal to illustrate for loops that count ascending and descending, while loops, and repeat loops. Exercises are provided to practice different types of loops.
Algorithm and Programming (Introduction of dev pascal, data type, value, and ...Adam Mukharil Bachtiar
This file contains explanation about introduction of dev pascal, data type, value, and identifier. This file was used in my Algorithm and Programming Class.
Two-dimensional arrays in C++ allow the creation of arrays with multiple rows and columns. A 2D array is initialized and accessed using two indices, one for the row and one for the column. 2D arrays can be processed using nested for loops, with the outer loop iterating through each row and the inner loop iterating through each column. Functions can accept 2D arrays as parameters, but the number of columns must be specified since arrays are stored in row-major order.
The document discusses arrays in C# and .NET. It covers declaring and initializing arrays, setting array size at runtime, looping through arrays using for and foreach loops, and using arrays of different data types like integers, floats, and strings. Key points include declaring arrays, assigning values, getting the length of an array, looping from index 0 to length-1, and the differences between for and foreach loops when iterating over an array.
The document discusses arrays and matrices in Pascal programming. It defines arrays as collections of related data elements that all have the same data type. Matrices are two-dimensional arrays that have rows and columns. The document shows how to declare, initialize, and fill arrays and matrices using loops. It also demonstrates accessing individual elements and printing the contents.
The document discusses arrays, which are a fundamental data structure that store a collection of elements of the same type in contiguous memory locations that can be individually accessed via an index. It describes one-dimensional arrays as lists and two-dimensional arrays as matrices. Key aspects covered include the components of an array like elements, data type, subscript, and brackets. Operations on and applications of arrays are also summarized.
1. The document discusses data structures and their representation in memory. It defines a data structure as a logical organization of data and storage structure as the physical representation of a data structure in computer memory.
2. Linear and non-linear data structures are described. Linear data structures like arrays have elements arranged sequentially while non-linear structures like linked lists use pointers. Common linear data structure operations like traversal, search, insertion and deletion are also outlined.
3. The key aspects of one-dimensional and multi-dimensional arrays are covered, including their indexing, memory representation and addressing calculations.
The document discusses arrays in Java. It begins by defining what an array is - a structured data type that stores a fixed number of elements of the same type. It then covers how to declare and initialize one-dimensional arrays, manipulate array elements using loops and indexes, and how to pass arrays as parameters to methods. The document also discusses arrays of objects and multidimensional arrays.
An array is a collection of homogeneous data elements stored in contiguous memory locations. Arrays can be one-dimensional, containing elements accessed via a single index, or multi-dimensional, containing elements accessed via multiple indices. Elements in a one-dimensional array are stored sequentially in memory. Multi-dimensional arrays can be stored in row-major or column-major order, affecting how element locations are calculated. Common array operations include traversal, insertion, deletion, sorting, and searching of elements.
Arrays allow storing multiple values in a single variable. An array stores elements of the same data type in contiguous memory locations. Each element has an index, also called a subscript, to identify its position in the array. Two-dimensional arrays can store data in table or matrix form, with the first dimension specifying rows and the second specifying columns.
This document discusses arrays, including:
1) Arrays allow storing a group of like data types together in memory rather than creating multiple variables. Each element has a unique subscript starting from 0.
2) Loops can be used to efficiently assign values to or process the contents of arrays. Arrays can also be partially filled with a count variable tracking elements.
3) Two-dimensional arrays are like multiple identical arrays combined, requiring two size variables when declaring and accessing elements with two nested loops.
The document discusses one-dimensional and two-dimensional arrays. A one-dimensional array uses a single index to store elements in a list, while a two-dimensional array uses two indices to store elements in a rows and columns format. The key aspects of arrays covered include declaration syntax specifying the data type, size, and initialization of elements. Common applications of arrays are also listed such as using pointers, passing to functions, and dynamic allocation.
This document discusses data structures and linear arrays. It defines data structures as logical models of data organization and storage structures as how data structures are represented in computer memory. Linear arrays are introduced as lists of homogeneous elements referenced by consecutive integer indices. The elements of a linear array are stored in contiguous memory locations. Pointers and pointer arrays are also discussed, with pointers containing the addresses of array elements and pointer arrays having each element as a pointer. Two-dimensional arrays are covered, including how they are represented in memory either by columns or rows. Formulas are provided to calculate the memory locations of elements in linear and multi-dimensional arrays. Basic operations on linear arrays like traversal, insertion, and deletion are explained with pseudocode algorithms.
An array is a collection of similar data elements that are stored in consecutive memory locations and referenced using an index. Arrays allow storing multiple values of the same data type. Elements are accessed using the index/subscript. Two-dimensional arrays store elements in a tabular form using two indices for row and column. Sparse matrices store only non-zero elements to save memory by representing the matrix as an array or linked list of triples with the row, column, and value of each non-zero element. Common array operations include traversing, inserting, deleting, searching, and sorting elements.
This document discusses data structures and algorithms. It begins by classifying data structures as linear or non-linear, with linear data structures having each element connected to a unique predecessor and successor. It then discusses the two basic representations of linear data structures in memory as either arrays or linked lists. Common operations on linear data structures like traversal, search, insertion, deletion, sorting, and merging are also outlined. The document proceeds to provide detailed explanations and examples of arrays, including linear arrays, representation in memory, traversing, inserting, deleting, and multidimensional arrays. It concludes with a brief discussion of pointers and pointer arrays.
The document discusses arrays in C programming. It covers one-dimensional, two-dimensional, and multi-dimensional arrays. It explains how to declare, initialize, and access array elements. It also discusses memory representation of two-dimensional arrays in row-major and column-major order. Additionally, it provides examples of calculating addresses of array elements and passing arrays to functions. Common applications of arrays and their advantages and disadvantages are summarized.
An array is a collection of variables of the same type that are referenced using a common name and contiguous memory locations. One-dimensional arrays allow storing multiple variables of the same type under a single variable name. Linear/sequential search compares each element to the search key while binary search divides the array in half at each step to find the search key faster than linear search.
One-dimensional arrays allow storing related data in a single variable. They can be initialized and populated by entering values for each element using its index or subscript. Array contents can be displayed in a loop by accessing each element. Functions can operate on entire arrays by passing the array name. Common array operations include calculating totals/averages, searching, sorting, and accessing individual elements.
This document discusses one-dimensional arrays. It defines a one-dimensional array as a list of values with the same data type stored under a single name. Elements are stored in consecutive memory locations and can be accessed using the array name and index. Individual elements are referenced as array_name[index]. The size of an array is the number of elements, and the type refers to the data type of the values. Memory addresses for elements are calculated from the base address using the index and size. Examples are provided to demonstrate accessing elements and calculating memory addresses.
This document defines and provides examples of different types of arrays, including one-dimensional, two-dimensional, and multi-dimensional arrays. It explains that an array is a fixed-size collection of elements of the same data type that share a common name. A one-dimensional array uses a single index to represent a list, a two-dimensional array represents data in rows and columns using two indices, and a multi-dimensional array can use more than two indices. Examples of arrays include lists of employees, test scores, and students.
This document provides information about data structures and algorithms. It begins by defining data structures and storage structures, and notes that a data structure is a logical model of data organization while a storage structure represents a data structure in computer memory. It then classifies data structures as linear or non-linear, and notes that linear data structures form a sequence. The document discusses representation of data structures in memory using arrays or linked lists, and common operations on linear structures like traversal, search, insertion and deletion. It provides detailed explanations of arrays and pointers.
This document discusses arrays in BASIC programming. It defines arrays as collections of variables with the same name identified by subscripts. Arrays can be one-dimensional like lists or two-dimensional like tables. Values are assigned to subscripted variables using LET, READ, or INPUT statements. The DIM statement reserves memory for large arrays. Two-dimensional arrays use doubly subscripted variables and nested loops can be used to fill and print them. Arrays can manipulate data through operations like finding elements, matching between arrays, and sorting.
Dokumen tersebut memberikan tips untuk membuat formatting kode program yang baik agar mudah dibaca dan dipahami. Terdapat dua jenis formatting, yaitu vertical dan horizontal formatting. Secara vertical, kode perlu diatur dengan memperhatikan konsep-konsep, jarak antar konsep, kerapatan kode yang berkaitan, dan letak deklarasi dan pemanggilan fungsi. Secara horizontal, perlu memperhatikan pemberian jarak, penyamaan baris, dan pengindentasian untuk membedakan struktur program.
Slide ini menjelaskan perihal penggunaan komentar yang baik dan buruk pada suatu kode program. Slide ini merupakan bahan ajar untuk mata kuliah Clean Code dan Design Pattern.
Dokumen tersebut memberikan tips-tips untuk membuat nama variabel, fungsi, kelas, dan paket yang baik dalam pembuatan kode program. Beberapa tips utama adalah menggunakan nama yang jelas maksudnya, hindari penggunaan encoding, gunakan kata benda untuk nama kelas dan verba untuk nama metode, serta tambahkan konteks yang bermakna.
Dokumen tersebut membahas tentang pengujian perangkat lunak, termasuk definisi pengujian perangkat lunak, tujuan pengujian, jenis pengujian seperti manual testing, automated testing, unit testing, integration testing, serta metode pengujian seperti white box testing dan black box testing.
Slide ini berisi penjelasan tentang Data Mining Klasifikasi. Di dalamnya ada tiga algoritma yang dibahas, yaitu: Naive Bayes, kNN, dan ID3 (Decision Tree).
Dokumen tersebut membahas algoritma program dinamis untuk menentukan lintasan terpendek antara dua simpul dalam sebuah graf. Metode yang digunakan adalah program dinamis mundur dimana permasalahan dibagi menjadi beberapa tahap dan dihitung secara mundur untuk menentukan nilai optimal pada setiap tahap. Hasil akhir adalah terdapat tiga lintasan terpendek dengan panjang 11 antara simpul 1 dan 10.
Teks tersebut membahas strategi algoritma Divide and Conquer untuk memecahkan masalah. Strategi ini membagi masalah menjadi submasalah kecil, memecahkan submasalah tersebut secara rekursif, lalu menggabungkan hasilnya untuk mendapatkan solusi masalah awal. Dua contoh masalah yang dijelaskan adalah mencari nilai maksimum dan minimum dalam tabel, serta mencari pasangan titik terdekat dalam himpunan titik.
Slide ini berisi penjelasan tentang teorema-teorema yang berlaku untuk notasi asimptotik beserta cara perhitungannya untuk kebutuhan waktu suatu algoritma.
Top 5 Task Management Software to Boost Productivity in 2025Orangescrum
In this blog, you’ll find a curated list of five powerful task management tools to watch in 2025. Each one is designed to help teams stay organized, improve collaboration, and consistently hit deadlines. We’ve included real-world use cases, key features, and data-driven insights to help you choose what fits your team best.
From Chaos to Clarity - Designing (AI-Ready) APIs with APIOps CyclesMarjukka Niinioja
Teams delivering API are challenges with:
- Connecting APIs to business strategy
- Measuring API success (audit & lifecycle metrics)
- Partner/Ecosystem onboarding
- Consistent documentation, security, and publishing
🧠 The big takeaway?
Many teams can build APIs. But few connect them to value, visibility, and long-term improvement.
That’s why the APIOps Cycles method helps teams:
📍 Start where the pain is (one “metro station” at a time)
📈 Scale success across strategy, platform, and operations
🛠 Use collaborative canvases to get buy-in and visibility
Want to try it and learn more?
- Follow APIOps Cycles in LinkedIn
- Visit the www.apiopscycles.com site
- Subscribe to email list
-
Providing Better Biodiversity Through Better DataSafe Software
This session explores how FME is transforming data workflows at Ireland’s National Biodiversity Data Centre (NBDC) by eliminating manual data manipulation, incorporating machine learning, and enhancing overall efficiency. Attendees will gain insight into how NBDC is using FME to document and understand internal processes, make decision-making fully transparent, and shine a light on underlying code to improve clarity and reduce silent failures.
The presentation will also outline NBDC’s future plans for FME, including empowering staff to access and query data independently, without relying on external consultants. It will also showcase ambitions to connect to new data sources, unlock the full potential of its valuable datasets, create living atlases, and place its valuable data directly into the hands of decision-makers across Ireland—ensuring that biodiversity is not only protected but actively enhanced.
In this session we cover the benefits of a migration to Cosmos DB, migration paths, common pain points and best practices. We share our firsthand experiences and customer stories. Adiom is the trusted partner for migration solutions that enable seamless online database migrations from MongoDB to Cosmos DB vCore, and DynamoDB to Cosmos DB for NoSQL.
How Insurance Policy Administration Streamlines Policy Lifecycle for Agile Op...Insurance Tech Services
A modern Policy Administration System streamlines workflows and integrates with core systems to boost speed, accuracy, and customer satisfaction across the policy lifecycle. Visit https://www.damcogroup.com/insurance/policy-administration-systems for more details!
GDG Douglas - Google AI Agents: Your Next Intern?felipeceotto
Presentation done at the GDG Douglas event for June 2025.
A first look at Google's new Agent Development Kit.
Agent Development Kit is a new open-source framework from Google designed to simplify the full stack end-to-end development of agents and multi-agent systems.
Async-ronizing Success at Wix - Patterns for Seamless Microservices - Devoxx ...Natan Silnitsky
In a world where speed, resilience, and fault tolerance define success, Wix leverages Kafka to power asynchronous programming across 4,000 microservices. This talk explores four key patterns that boost developer velocity while solving common challenges with scalable, efficient, and reliable solutions:
1. Integration Events: Shift from synchronous calls to pre-fetching to reduce query latency and improve user experience.
2. Task Queue: Offload non-critical tasks like notifications to streamline request flows.
3. Task Scheduler: Enable precise, fault-tolerant delayed or recurring workflows with robust scheduling.
4. Iterator for Long-running Jobs: Process extensive workloads via chunked execution, optimizing scalability and resilience.
For each pattern, we’ll discuss benefits, challenges, and how we mitigate drawbacks to create practical solutions
This session offers actionable insights for developers and architects tackling distributed systems, helping refine microservices and adopting Kafka-driven async excellence.
Revolutionize Your Insurance Workflow with Claims Management SoftwareInsurance Tech Services
Claims management software enhances efficiency, accuracy, and satisfaction by automating processes, reducing errors, and speeding up transparent claims handling—building trust and cutting costs. Explore More - https://www.damcogroup.com/insurance/claims-management-software
Who will create the languages of the future?Jordi Cabot
Will future languages be created by language engineers?
Can you "vibe" a DSL?
In this talk, we will explore the changing landscape of language engineering and discuss how Artificial Intelligence and low-code/no-code techniques can play a role in this future by helping in the definition, use, execution, and testing of new languages. Even empowering non-tech users to create their own language infrastructure. Maybe without them even realizing.
In a tight labor market and tighter economy, PMOs and resource managers must ensure that every team member is focused on the highest-value work. This session explores how AI reshapes resource planning and empowers organizations to forecast capacity, prevent burnout, and balance workloads more effectively, even with shrinking teams.
FME as an Orchestration Tool - Peak of Data & AI 2025Safe Software
Processing huge amounts of data through FME can have performance consequences, but as an orchestration tool, FME is brilliant! We'll take a look at the principles of data gravity, best practices, pros, cons, tips and tricks. And of course all spiced up with relevant examples!
Best Inbound Call Tracking Software for Small BusinessesTheTelephony
The best inbound call tracking software for small businesses offers features like call recording, real-time analytics, lead attribution, and CRM integration. It helps track marketing campaign performance, improve customer service, and manage leads efficiently. Look for solutions with user-friendly dashboards, customizable reporting, and scalable pricing plans tailored for small teams. Choosing the right tool can significantly enhance communication and boost overall business growth.
How the US Navy Approaches DevSecOps with Raise 2.0Anchore
Join us as Anchore's solutions architect reveals how the U.S. Navy successfully approaches the shift left philosophy to DevSecOps with the RAISE 2.0 Implementation Guide to support its Cyber Ready initiative. This session will showcase practical strategies for defense application teams to pivot from a time-intensive compliance checklist and mindset to continuous cyber-readiness with real-time visibility.
Learn how to break down organizational silos through RAISE 2.0 principles and build efficient, secure pipeline automation that produces the critical security artifacts needed for Authorization to Operate (ATO) approval across military environments.
Invited Talk at RAISE 2025: Requirements engineering for AI-powered SoftwarE Workshop co-located with ICSE, the IEEE/ACM International Conference on Software Engineering.
Abstract: Foundation Models (FMs) have shown remarkable capabilities in various natural language tasks. However, their ability to accurately capture stakeholder requirements remains a significant challenge for using FMs for software development. This paper introduces a novel approach that leverages an FM-powered multi-agent system called AlignMind to address this issue. By having a cognitive architecture that enhances FMs with Theory-of-Mind capabilities, our approach considers the mental states and perspectives of software makers. This allows our solution to iteratively clarify the beliefs, desires, and intentions of stakeholders, translating these into a set of refined requirements and a corresponding actionable natural language workflow in the often-overlooked requirements refinement phase of software engineering, which is crucial after initial elicitation. Through a multifaceted evaluation covering 150 diverse use cases, we demonstrate that our approach can accurately capture the intents and requirements of stakeholders, articulating them as both specifications and a step-by-step plan of action. Our findings suggest that the potential for significant improvements in the software development process justifies these investments. Our work lays the groundwork for future innovation in building intent-first development environments, where software makers can seamlessly collaborate with AIs to create software that truly meets their needs.
Generative Artificial Intelligence and its ApplicationsSandeepKS52
The exploration of generative AI begins with an overview of its fundamental concepts, highlighting how these technologies create new content and ideas by learning from existing data. Following this, the focus shifts to the processes involved in training and fine-tuning models, which are essential for enhancing their performance and ensuring they meet specific needs. Finally, the importance of responsible AI practices is emphasized, addressing ethical considerations and the impact of AI on society, which are crucial for developing systems that are not only effective but also beneficial and fair.
Marketo & Dynamics can be Most Excellent to Each Other – The SequelBradBedford3
So you’ve built trust in your Marketo Engage-Dynamics integration—excellent. But now what?
This sequel picks up where our last adventure left off, offering a step-by-step guide to move from stable sync to strategic power moves. We’ll share real-world project examples that empower sales and marketing to work smarter and stay aligned.
If you’re ready to go beyond the basics and do truly most excellent stuff, this session is your guide.
Maximizing Business Value with AWS Consulting Services.pdfElena Mia
An overview of how AWS consulting services empower organizations to optimize cloud adoption, enhance security, and drive innovation. Read More: https://www.damcogroup.com/aws-cloud-services/aws-consulting.
4. BackgroundofArray
I need a program to process students data but i
want it to keep all data temporary in memory
so i can use it until the program is shut down.
11. Declaration As Variable (Algorithm)
Kamus:
NamaArray : array [1..MaxSize] of TipeData
Contoh:
Kamus:
bil : array [1..5] of integer
NamaDosen : array [1..20] of string
Pecahan : array [1..100] of real
12. Declaration As Variable (Pascal)
var
NamaArray : array [1..MaxSize] of TipeData;
Contoh:
var
bil : array [1..5] of integer;
NamaDosen : array [1..20] of string[30];
Pecahan : array [1..100] of real;
13. Declaration As User-Defined Data Type (Algorithm)
Kamus:
type
NamaArray = array [1..MaxSize] of TipeData
NamaVariabel_1:NamaArray
NamaVariabel_2:NamaArray
14. Declaration As User-Defined Data Type (Algorithm)
Contoh:
Kamus:
type
bil = array [1..5] of integer
bilbulat:bil
bilpositif:bil
15. type
NamaArray = array [1..MaxSize] of TipeData;
var
NamaVariabel_1:NamaArray;
NamaVariabel_2:NamaArray;
Declaration As User-Defined Data Type (Pascal)
16. Contoh:
type
bil = array [1..5] of integer;
var
bilbulat:bil;
bilpositif:bil;
Declaration As User-Defined Data Type (Pascal)
17. Define Size of Array As Constant (Algorithm)
Kamus:
const
MaxSize = VALUE
type
NamaArray = array [1..MaxSize] of TipeData
NamaVariabel_1:NamaArray
NamaVariabel_2:NamaArray
26. ArrayCreation
• Prepare array to be accessed/processed.
Array will be filled with default value.
• For numeric array will be filled with 0 and
for alphanumeric array will be filled with ‘ ’
(Null Character)
27. Procedure create (output NamaVarArray:NamaArray)
{I.S: elemen array diberi harga awal agar siap digunakan}
{F.S: menghasilkan array yang siap digunakan}
Kamus:
indeks:integer
Algoritma:
for indeks 1 to maks_array do
nama_var_array[indeks] 0 {sesuaikan dengan tipe array}
endfor
EndProcedure
Array Creation (Algorithm)
28. procedure create (var NamaVarArray:NamaArray);
var
indeks:integer;
begin
for indeks := 1 to maks do
NamaVarArray[indeks] := 0;
end;
Array Creation (Pascal)
30. TraversalProcesses • Fill elements array with data
• Output all elements of array
• Adding data to array
• Insert data in particular index
• Delete data in particular index
• Determine maximum and minimum data in
array
• Count mean value in array
31. Procedure traversal (I/O NamaVarArray:NamaArray)
{I.S: maksimum array sudah terdefinisi}
{F.S: menghasilkan array yang sudah diproses}
Kamus:
Algoritma:
for indeks 1 to maks do
{proses traversal}
endfor
Terminasi {sifatnya optional}
EndProcedure
General Form for Array Traversal (Algorithm)
35. Example of One Dimension Array (Algorithm)
1
2
3
4
5
6
7
8
9
10
11
12
13
Algoritma ArrayDasar
{I.S.: Dideklarasikan dua buah array satu dimensi}
{F.S.: Menampilkan array beserta hasil perhitungan}
Kamus:
const
maks=5
type
bil=array[1..maks] of integer
bil1,bil2:bil
i:integer
jumlah,jumlah2:integer
36. Example of One Dimension Array (Algorithm)
14
15
16
17
18
19
20
21
22
23
24
25
26
27
Algoritma:
{input elemen array}
for i 1 to maks do
input(bil1[i])
endfor
for i 1 to maks do
input(bil2[i])
endfor
{output elemen array}
for i 1 to maks do
output(bil1[i])
endfor
37. Example of One Dimension Array (Algorithm)
28
29
30
31
32
33
34
35
37
38
39
40
for i 1 to maks do
output(bil2[i])
endfor
{proses perhitungan array}
jumlah0;
for i 1 to maks do
jumlahjumlah+bil1[i]
endfor
output(jumlah)
jumlah20;
38. Example of One Dimension Array (Algorithm)
41
42
43
44
for i 1 to maks do
jumlah2jumlah2+bil2[i]
endfor
output(jumlah2)
39. Example of One Dimension Array (Pascal)
1
2
3
4
5
6
7
8
9
10
11
12
13
program ArrayDasar;
uses crt;
const
maks=5;
type
bil=array[1..maks] of integer;
var
bil1,bil2:bil;
i:integer;
jumlah,jumlah2:integer;
40. Example of One Dimension Array (Pascal)
14
15
16
17
18
19
20
21
22
23
24
25
26
27
begin
{input elemen array}
for i:=1 to maks do
begin
write('Masukkan nilai ke bil 1 [',i,'] : ');
readln(bil1[i]);
end;
writeln();
for i:=1 to maks do
begin
write('Masukkan nilai ke bil 2 [',i,'] : ');
readln(bil2[i]);
end;
41. Example of One Dimension Array (Pascal)
28
29
30
31
32
33
34
35
37
38
39
40
{output elemen array}
for i:=1 to maks do
begin
writeln('Bil 1[',i,'] = ',bil1[i]);
end;
writeln();
for i:=1 to maks do
begin
writeln('Bil 2[',i,'] = ',bil2[i]);
end;
42. Example of One Dimension Array (Pascal)
41
42
43
44
45
46
47
48
49
50
51
52
53
{proses perhitungan array}
writeln();
jumlah:=0;
for i:=1 to maks do
begin
jumlah:=jumlah+bil1[i];
end;
writeln('Jumlah elemen array bil 1 = ',jumlah);
writeln();
jumlah2:=0;
for i:=1 to maks do
begin
43. Example of One Dimension Array (Pascal)
54
55
56
57
58
59
60
61
jumlah2:=jumlah2+bil2[i];
end;
writeln('Jumlah elemen array bil 2 = ',jumlah2);
writeln();
write('Tekan sembarang tombol untuk menutup...');
readkey();
end.
47. Declaration As Variable (Algorithm)
Kamus:
NamaArray : array [1..MaxBaris,1..MaxKolom] of TipeData
Contoh:
Kamus:
matriks : array [1..5,1..5] of integer
48. Declaration As Variable (Pascal)
var
NamaArray : array [1..MaxBaris,1..MaxKolom] of TipeData;
Contoh:
var
matriks: array [1..5,1..5] of integer;
49. Declaration As User-Defined Data Type (Algorithm)
Kamus:
type
NamaArray = array [1..MaxBaris,1..MaxKolom] of TipeData
NamaVariabel_1:NamaArray
NamaVariabel_2:NamaArray
50. Declaration As User-Defined Data Type (Algorithm)
Contoh:
Kamus:
type
matriks = array [1..5,1..5] of integer
matriks1:matriks
51. type
NamaArray = array [1..MaxBaris,1..MaxKolom] of TipeData;
var
NamaVariabel_1:NamaArray;
NamaVariabel_2:NamaArray;
Declaration As User-Defined Data Type (Pascal)
52. Contoh:
type
matriks = array [1..5,1..5] of integer;
var
matriks1:bil;
matriks2:bil;
Declaration As User-Defined Data Type (Pascal)
53. Define Size of Array As Constant (Algorithm)
Kamus:
const
MaxBaris = VALUE1
MaxKolom = VALUE2
type
NamaArray = array [1..MaxBaris,1..MaxKolom] of TipeData
NamaVariabel_1:NamaArray
NamaVariabel_2:NamaArray
55. const
MaxBaris = VALUE1;
MaxKolom = VALUE2;
type
NamaArray : array [1..MaxBaris,1..MaxKolom] of TipeData;
var
NamaVariabel:NamaArray;
Define Size of Array As Constant (Pascal)
56. Contoh:
const
MaksBaris = 5;
MaksKolom = 5;
type
matriks = array [1..MaksBaris,1..MaksKolom] of integer;
var
bilbulat:bil;
Define Size of Array As Constant (Pascal)
59. ArrayCreation
• Prepare array to be accessed/processed.
Array will be filled with default value.
• For numeric array will be filled with 0 and
for alphanumeric array will be filled with ‘ ’
(Null Character)
60. Procedure create (output NamaVarArray:NamaArray)
{I.S: elemen array diberi harga awal agar siap digunakan}
{F.S: menghasilkan array yang siap digunakan}
Kamus:
i,j:integer
Algoritma:
for i 1 to MaksBaris do
for j 1 to MaksKolom do
nama_var_array[i,j] 0 {sesuaikan dengan tipe array}
endfor
endfor
EndProcedure
Array Creation (Algorithm)
61. procedure create (var NamaVarArray:NamaArray);
var
i,j:integer;
begin
for i := 1 to MaksBaris do
begin
for j := 1 to MaksKolom do
NamaVarArray[i,j] := 0;
end;
end;
Array Creation (Pascal)
63. TraversalProcesses • Fill elements array with data
• Output all elements of array
• Adding data to array
• Insert data in particular index
• Delete data in particular index
• Determine maximum and minimum data in
array
• Count mean value in array
64. Procedure traversal (I/O NamaVarArray:NamaArray)
{I.S: maksimum array sudah terdefinisi}
{F.S: menghasilkan array yang sudah diproses}
Kamus:
Algoritma:
for i 1 to MaksBaris do
for j 1 to MaksKolom do
{proses traversal}
endfor
endfor
Terminasi {sifatnya optional}
EndProcedure
General Form for Array Traversal (Algorithm)
68. Example of Two Dimensions Array (Algorithm)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Algoritma ArrayDasar
{I.S.: Dideklarasikan dua buah array dua dimensi}
{F.S.: Menampilkan isi array}
Kamus:
const
MaksBaris=5
MaksKolom=5
type
bil=array[1..MaksBaris,1..MaksKolom] of integer
matriks1,matriks2:bil
i,j:integer
69. Example of Two Dimensions Array (Algorithm)
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Algoritma:
{input elemen array}
for i 1 to MaksBaris do
for j 1 to MaksKolom do
input(bil1[i,j])
endfor
endfor
for i 1 to MaksBaris do
for j 1 to MaksKolom do
input(bil2[i,j])
endfor
endfor
70. Example of Two Dimensions Array (Algorithm)
29
30
31
32
33
34
35
37
38
39
40
41
{output elemen array}
for i 1 to MaksBaris do
for j 1 to MaksKolom do
output(bil1[i,j])
endfor
endfor
for i 1 to MaksBaris do
for j 1 to MaksKolom do
output(bil1[i,j])
endfor
endfor
71. Example of Two Dimensions Array (Pascal)
1
2
3
4
5
6
7
8
9
10
11
12
13
program ArrayDuaDimensiDasar;
uses crt;
const
MaksBaris=3;
MaksKolom=3;
type
matriks = array[1..MaksBaris,1..MaksKolom] of
integer;
var
matriks1,matriks2:matriks;
baris,kolom:integer;
72. Example of Two Dimensions Array (Pascal)
14
15
16
17
18
19
20
21
22
23
24
25
26
27
begin
{input matriks}
writeln('Input Matriks Pertama');
for baris:=1 to MaksBaris do
begin
for kolom:=1 to MaksKolom do
begin
gotoxy(kolom*5+1,baris+3);
readln(matriks1[baris,kolom]);
end;
end;
writeln();
writeln('Input Matriks Kedua');
73. Example of Two Dimensions Array (Pascal)
28
29
30
31
32
33
34
35
37
38
39
40
for baris:=1 to MaksBaris do
begin
for kolom:=1 to MaksKolom do
begin
gotoxy(kolom*5+1,baris+9);
readln(matriks2[baris,kolom]);
end;
end;
{output matriks}
clrscr();
writeln('Output Matriks Pertama');
74. Example of Two Dimensions Array (Pascal)
41
42
43
44
45
46
47
48
49
50
51
52
53
for baris:=1 to MaksBaris do
begin
for kolom:=1 to MaksKolom do
begin
gotoxy(kolom*5+1,baris+3);
write(matriks1[baris,kolom]);
end;
end;
writeln();writeln();
writeln('Output Matriks Kedua');
for baris:=1 to MaksBaris do
begin
75. Example of Two Dimensions Array (Pascal)
54
55
56
57
58
59
60
61
62
63
64
for kolom:=1 to MaksKolom do
begin
gotoxy(kolom*5+1,baris+9);
write(matriks2[baris,kolom]);
end;
end;
writeln();
write('Tekan sembarang tombol untuk menutup...');
readkey();
end.