Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving
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.
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Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving
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.
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Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving

Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving

by Jose Garrido
Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving
Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving

Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving

by Jose Garrido

Hardcover

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Overview

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.

Product Details

ISBN-13: 9781138413122
Publisher: CRC Press
Publication date: 12/18/2020
Series: Chapman & Hall/CRC Computational Science
Pages: 330
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

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.

Table of Contents

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

What People are Saying About This

From the Publisher

… offers a solid first step into scientific and technical computing for those just getting started. … Through simple examples that are both easy to conceptualize and straightforward to express mathematically (something that isn’t trivial to achieve), Garrido methodically guides readers from problem statement and abstraction through algorithm design and basic programming. His approach offers those beginning in a scientific or technical discipline something unique; a simultaneous introduction to programming and computational thinking that is very relevant to the practical application of computing many readers will experience later in their academic training, or early in their professional career.
—John West, SIGHPC Connect Newsletter, Vol. 1, June 2012

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