Introduction to Elementary Computational Modeling

Essential Concepts, Principles, and Problem Solving
1. Auflage 2011
ISBN: 978-1-4398-6739-6
Verlag: Taylor & Francis Inc

Buch, Englisch, 330 Seiten, Format (B × H): 154 mm x 236 mm, Gewicht: 477 g

Reihe: Chapman & Hall/CRC Computational Science

With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary mathematical modeling, and the implementation using computing concepts and principles. Examples are included that demonstrate the computation and visualization of the implemented models.

The author provides case studies, along with an overview of computational models and their development. The first part of the text presents the basic concepts of models and techniques for designing and implementing problem solutions. It applies standard pseudo-code constructs and flowcharts for designing models. The second part covers model implementation with basic programming constructs using MATLAB®, Octave, and FreeMat.

Aimed at beginning students in computer science, mathematics, statistics, and engineering, Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving focuses on fundamentals, helping the next generation of scientists and engineers hone their problem solving skills.

Zielgruppe

Undergraduate students in computer science, computer engineering, and engineering; professional engineers and computer science practitioners.

Autoren/Hrsg.

Garrido, Jose

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Naturwissenschaften, Technik, Medizin
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie

Inhaltsverzeichnis

Understanding Problem Solving: Understanding Word Problems. Problem Solving and Computing. MATLAB, R, and Octave Programming. Computational Models: Introduction To Computational Models. Computational Models and Simulation. Algorithms and Design Structures. Selection. Repetition. Data Lists. Modules. Mathematical Models: Basic Concepts. Models with Quadratic Growth. Models with Polynomial Functions. Data Estimation and Empirical Modeling. Models with Geometric Growth. Vectors and Matrices. Text Data. Advanced Data Structures. The MATLAB and GNU Octave Software. Computer Systems. Key Terms. Bibliography

Über Autor(innen)

Jose M. Garrido is Professor of Computer Science in the Department of Computer Science, Kennesaw State University, Georgia. He holds a Ph.D. from George Mason University in Fairfax, Virginia, an M.S.C.S also from George Mason University, an M.Sc. from University of London, and a B.S. in Electrical Engineering from Universidad de Oriente, Venezuela.

Dr. Garrido’s research interest is on: object-oriented modeling and simulation, multi-disciplinary computational modeling, formal specification of real-time systems, language design and processors, modeling systems performance, and software security. Dr. Garrido developed the Psim3, PsimJ, and PsimJ2 simulation packages for C++ and Java. He has recently developed the OOSimL, the Object Oriented Simulation Language (with partial support from NSF).

Dr. Garrido has published several papers in modeling and simulation, and on programming methods. He has also published six textbooks on objectoriented simulation and operating systems.