Scientific Visualization & Simulation in Java with MDI

Building Interactive, Extensible Desktop Applications for Research and Education
1. Auflage 2027
ISBN: 979-8-8688-3049-5
Verlag: APRESS L.P.

Buch, Englisch, Format (B × H): 178 mm x 254 mm

Build interactive scientific simulations and visualizations in Java using MDI (Multi-Document Interface). This essential guide saves you from having to piece together disconnected UI recipes, offering a consolidated guide in which visualization, simulation, interaction, and extensibility fit together within a coherent design.

The book shows you how to build a complete Java desktop, structured around a series of demo applications that grow in complexity. Early chapters introduce core MDI concepts such as views, containers, layers, interactive items, and toolbars. From there, you’ll be ready to explore simulation engines, scientific plotting (including histograms and curve fitting), multi-view coordination, and performance topics. Through clear explanations, you’ll understand why key design decisions affect performance, maintainability, and extensibility, and how those choices scale real research and educational applications. A final capstone project shows you how to use MDI to build a full machine-learning desktop application with an ONNX-based classification model.

By the end of the book, you’ll understand how to design responsive Java desktop applications, coordinate multiple visualizations, manage background computation safely, and extend a visualization framework for your own scientific or engineering domains.

What You Will Learn:

• Design maintainable, extensible Java desktop architecture for scientific and technical applications
• Build interactive visualizations that coordinate multiple views and shared data
• Integrate simulations, background computation, and UI responsiveness safely
• Implement scientific plotting, curve fitting, and histogram-based visualizations
• Extend a visualization framework for custom research or educational projects
• Build interactive maps with multiple projections, geographic data, terrain, and custom map items

Who This Book is for:

Scientific software developers, computational scientists, engineers, and students working on data-driven projects, as well as developers maintaining long-lived technical systems. Readers should be comfortable with core Java concepts and event-driven programming, but no prior experience with scientific visualization frameworks is required.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Heddle, David

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Chapter 1: Scientific Visualization as Software Architecture.- Chapter 2: Building a MDI Application.- Chapter 3: Creating Views.- Chapter 4: Items.- Chapter 5: Toolbar and Rubberbanding.- Chapter 6: Plotting.- Chapter 7: Mapping.- Chapter 8: Simulations.- Chapter 9: Optimization Algorithms .- Chapter 10: MDI-3D.- Chapter 11: Capstone.

Über Autor(innen)

David Heddle is a physics professor and nuclear physics researcher with extensive experience in designing, maintaining, and teaching with large-scale Java-based scientific visualization and simulation frameworks. He holds a faculty appointment at Christopher Newport University and a long-standing joint research affiliation with the Thomas Jefferson National Accelerator Facility (U.S. Department of Energy), where Java-based visualization and simulation tools are used in active research environments. The framework presented in this book—MDI (Multi-Document Interface)—has evolved over many years through research use, undergraduate and graduate instruction, and the long-term maintenance of production scientific software, shaped by real constraints such as responsiveness, extensibility, maintainability, and clarity for future developers. His expertise lies in designing research-grade software architectures that are pedagogically sound, technically robust, and suitable for long-lived scientific applications. This book reflects both classroom experience and real-world scientific software development.