Object Oriented Programming - 5.1. Array

Mar 18, 20200 likes194 views

This document discusses arrays in Java. It defines an array as a way to store multiple values in a single variable instead of separate variables. It explains how to declare and initialize arrays in Java, access array elements, change element values, determine the length of an array, loop through an array, and create multidimensional arrays. The document also discusses passing arrays to methods and using a foreach loop to traverse an array.

Object Oriented
Programming
Andi Nurkholis, S.Kom., M.Kom.
Study Program of Informatics
Faculty of Engineering and Computer Science
SY. 2019-2020
March 19, 2020

3
Array
Arrays are used to store multiple values in a
single variable, instead of declaring separate
variables for each value.

Java Array
4
In Java, to declare an array, define the variable type with square brackets:
String[] cars;
To insert values to it, we can use an array literal - place the values in a
comma-separated list, inside curly braces:
String[] cars = {"Volvo", "BMW", "Ford", "Mazda"};

Access the Elements of an Array
You access an array element by referring to the index number.
This statement accesses the value of the first element in cars:
5
String[] cars = {"Volvo", "BMW", "Ford", "Mazda"};
System.out.println(cars[0]);
// Outputs Volvo

Change an Array Element
6
To change the value of a specific element, refer to the index number:
String[] cars = {"Volvo", "BMW", "Ford", "Mazda"};
cars[0] = "Opel";
System.out.println(cars[0]);
// Now outputs Opel instead of Volvo

7
Array Length
To find out how many elements an array has, use the length property:
String[] cars = {"Volvo", "BMW", "Ford", "Mazda"};
System.out.println(cars.length);
// Outputs 4

Loop Through an Array
8
You can loop through the array elements with the for loop, and use the
length property to specify how many times the loop should run.
The following example outputs all elements in the cars array:
String[] cars = {"Volvo", "BMW", "Ford", "Mazda"};
for (int i = 0; i < cars.length; i++) {
System.out.println(cars[i]);
}
// Outputs Volvo, BMW, Ford, Mazda

Multidimensional Arrays
A multidimensional array is an array
containing one or more arrays.
To create a two-dimensional array, add each
array within its own set of curly braces:
9

Access the Element of an Array
10
To access the elements of the myNumbers array, specify two indexes:
one for the array, and one for the element inside that array.
This example accesses the third element (2) in the second array (1) of
myNumbers:
int[][] myNumbers = { {1, 2, 3, 4}, {5, 6, 7} };
int x = myNumbers[1][2];
System.out.println(x); // Outputs 7

11
Loop Through an Array
public class MyClass {
public static void main(String[] args) {
int[][] myNumbers = { {1, 2, 3, 4}, {5, 6, 7} };
for (int i = 0; i < myNumbers.length; ++i) {
for(int j = 0; j < myNumbers[i].length; ++j) {
System.out.println(myNumbers[i][j]);
}
}
}
}

Create an Array
13
You can create an array by using the new operator with the following
syntax:
arrayRefVar = new dataType[arraySize];
The above statement does two things:
• It creates an array using new dataType[arraySize].
• It assigns the reference of the newly created array to the variable
arrayRefVar.
dataType arrayRefVar[];

Multidimensional Arrays
double[] myList = new double[10];
14

The Foreach Loops
15
JDK 1.5 introduced a new for loop known as foreach loop or enhanced
for loop, which enables you to traverse the complete array sequentially
without using an index variable.
int[][] myNumbers = { {1, 2, 3, 4}, {5, 6, 7} };
int x = myNumbers[1][2];
System.out.println(x); // Outputs 7

16
Example
public class TestArray {
public static void main(String[] args) {
double[] myList = {1.9, 2.9, 3.4, 3.5};
// Print all the array elements
for (double element: myList) {
System.out.println(element);
}
}
}

Passing Arrays to Methods
17
public static void printArray(int[] array) {
for (int i = 0; i < array.length; i++) {
System.out.print(array[i] + " ");
}
}
//printArray(new int[]{3, 1, 2, 6, 4, 2});
Just as you can pass primitive type values to methods, you can also pass
arrays to methods. For example, the following method displays the
elements in an int array:

Thank You, Next …
Relation between Classes
Study Program of Informatics
Faculty of Engineering and Computer Science
SY. 2019-2020
Andi Nurkholis, S.Kom., M.Kom.
March 19, 2020

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Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes. To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.

Bridging the divide: A conversation on tariffs today in the book industry - T...BookNet Canada

A collaboration-focused conversation on the recently imposed US and Canadian tariffs where speakers shared insights into the current legislative landscape, ongoing advocacy efforts, and recommended next steps. This event was presented in partnership with the Book Industry Study Group. Link to accompanying resource: https://bnctechforum.ca/sessions/bridging-the-divide-a-conversation-on-tariffs-today-in-the-book-industry/ Presented by BookNet Canada and the Book Industry Study Group on May 29, 2025 with support from the Department of Canadian Heritage.

Edge-banding-machines-edgeteq-s-200-en-.pdfAmirStern2

Murdledescargadarkweb.pdfvolumen1 100 elementaryJorgeSemperteguiMont

TrustArc Webinar - 2025 Global Privacy SurveyTrustArc

How does your privacy program compare to your peers? What challenges are privacy teams tackling and prioritizing in 2025? In the sixth annual Global Privacy Benchmarks Survey, we asked global privacy professionals and business executives to share their perspectives on privacy inside and outside their organizations. The annual report provides a 360-degree view of various industries' priorities, attitudes, and trends. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe. This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy. This webinar will review: - The emerging trends in data protection, compliance, and risk - The top challenges for privacy leaders, practitioners, and organizations in 2025 - The impact of evolving regulations and the crossroads with new technology, like AI Predictions for the future of privacy in 2025 and beyond

AudGram Review: Build Visually Appealing, AI-Enhanced Audiograms to Engage Yo...SOFTTECHHUB

FIDO Seminar: Evolving Landscape of Post-Quantum Cryptography.pptxFIDO Alliance

Oracle Cloud Infrastructure Generative AI ProfessionalVICTOR MAESTRE RAMIREZ

“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/ Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment. In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.

Can We Use Rust to Develop Extensions for PostgreSQL? (POSETTE: An Event for ...NTT DATA Technology & Innovation

vertical-cnc-processing-centers-drillteq-v-200-en.pdfAmirStern2

National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software

The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.

Analysis of the changes in the attitude of the news comments caused by knowin...Matsushita Laboratory

“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/from-enterprise-to-makers-driving-vision-ai-innovation-at-the-extreme-edge-a-presentation-from-sony-semiconductor-solutions/ Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the “From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge” tutorial at the May 2025 Embedded Vision Summit. Sony’s unique integrated sensor-processor technology is enabling ultra-efficient intelligence directly at the image source, transforming vision AI for enterprises and developers alike. In this presentation, Servi showcases how the AITRIOS platform simplifies vision AI for enterprises with tools for large-scale deployments and model management. Servi also highlights his company’s collaboration with Ultralytics and Raspberry Pi, which brings YOLO models to the developer community, empowering grassroots innovation. Whether you’re scaling vision AI for industry or experimenting with cutting-edge tools, this presentation will demonstrate how Sony is accelerating high-performance, energy-efficient vision AI for all.

FIDO Seminar: Targeting Trust: The Future of Identity in the Workforce.pptxFIDO Alliance