Spatial Modeling in Natural Sciences and Engineering, Softcover reprint of the original 1st ed. 2004
Software Development and Implementation

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Language: English
Cover of the book Spatial Modeling in Natural Sciences and Engineering

Subjects for Spatial Modeling in Natural Sciences and Engineering

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Spatial Modeling in Natural Sciences and Engineering
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305 p. · 15.5x23.5 cm · Paperback

Approximative price 105.49 €

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Spatial modeling in natural sciences and engineering: software development and implementation (POD)
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The author introduces the reader to the creation and implementation of space-related models by applying a learning-by-doing and problem-oriented approach. The required procedural skills are rarely taught at universities and many scientists and engineers struggle to transfer a model into a computer program. The purpose of this book is to fill this gap. It moves from simple to more complex applications, covering various important topics in the sequence: dynamic matrix processing, 2D and 3D graphics, databases, Java applets and parallel computing. A file (SMOP.zip) with all examples can be downloaded free of charge from the Internet at http://de.geocities.com/bsttc2/book.

I: Object-Oriented Methodology.- 1. Introduction.- 2. Overview of Different Object-Oriented Approaches.- 3. Fundamentals of Object-Oriented Models.- II: Building Models with Objects and Patterns.- 4. Dynamic Matrix Processor in Visual Basic.- 5. 2D Dynamic Data Plotter in Visual Basic.- 6. 3D Data Visualizer in Visual Basic.- 7. Interactive Window Shell for Exe-Files in Visual Basic.- 8. Image Digitizer with a Database in Visual Basic.- 9. City Map Java Applet with a Road Finder.- 10. Parallel Computing of Satellite Orbits using Java Threads.- List of Abbreviations.- List of Figures.- List of Tables.

Fills a market niche because the covered topics (building spatial models and software engineering) are rarely taught at universities but urgently needed by many engineers

Uses a practical step-by-step learning method with complete small, medium-sized and extendable applications

Takes a learning-by-doing and problem-oriented approach

Includes supplementary material: sn.pub/extras