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Introduction to Computational Modeling Using C and Open-Source Tools

Jose M. Garrido
€78.99
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Cubic Spline Interpolation Technique
D1 D2 D3
data visualisation
Decision Variables Xi
Decomposition Unit
Demand Point
Dynamic Memory Allocation
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Function Prototype
Functional Equation
GSL.
Integer Linear Problem
Intermediate Data Points
language
linear
Linear Optimization
Linear Optimization Problem
Linked List
LP Solve
Mathematical Expression
Mathematical Optimization Problem
matrix computation
Mixed Integer Linear Problem
modelling dynamical systems
numerical methods
optimization
Ordinary Differential Equations
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Product details

  • ISBN 9780367379230
  • Weight: 657g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Jun 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software library of C functions, and the versatile, open-source GnuPlot for visualizing the data. All source files, shell scripts, and additional notes are located at ksuweb.kennesaw.edu/~jgarrido/comp_models.

The book first presents an overview of problem solving and the introductory concepts, principles, and development of computational models before covering the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such as polynomial evaluation, regression, and other numerical methods, to implement computational models. He also discusses more advanced concepts needed for modeling dynamical systems and explains how to generate numerical solutions. The book concludes with the modeling of linear optimization problems.

Emphasizing analytical skill development and problem solving, this book helps you understand how to reason about and conceptualize the problems, generate mathematical formulations, and computationally visualize and solve the problems. It provides you with the foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high-performance computing.
About Jose M. Garrido

José M. Garrido is professor in the Department of Computer Science at Kennesaw State University. Dr. Garrido’s research focuses on object-oriented modeling and simulation, multidisciplinary computational modeling, formal specification of real-time systems, language design and processors, and modeling systems performance. He developed the Psim3, PsimJ, and PsimJ2 simulation packages for C++ and Java as well as the Object-Oriented Simulation Language (OOSimL). He received a Ph.D. from George Mason University.

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