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Full Description
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.
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
