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Very readable and user friendly introduction, which assumes no prior knowledge in computer science mathematics or physics.
Utilizes examples from everyday life to engage the reader and illustrate the wild uses of basic modeling and simulation techniques.
Based on the author's extensive experience teaching an introductory course for professionals.
Includes chapters dealing with examples from sports, crime reconstruction, music, the flow of fluids, collision of planets, bone fracture, molecular dynamics, etc.
Discusses tools for visualizing data, numerical methods, and parallel computing.
How can computer modeling and simulation tools be used to understand and analyze common situations and everyday problems? Readers will find here an easy-to-follow, enjoyable introduction for anyone even with little background training. Examples are incorporated throughout to stimulate interest and engage the reader.
Build the necessary skillsets with operating systems, editing, languages, commands, and visualization.
Obtain hands-on examples from sports, accidents, and disease to problems of heat transfer, fluid flow, waves, and groundwater flow.
Includes discussion of parallel computing and graphics processing units.
This introductory, practical guide is suitable for students at any level up to professionals looking to use modeling and simulation to help solve basic to more advanced problems.
Michael W. Roth, PhD, serves as Dean of the School of STEM and Business at Hawkeye Community College in Waterloo, Iowa. He was most recently Chair for three years at Northern Kentucky University´s Department of Physics, Geology and Engineering Technology, and holds several awards for teaching excellence.
Table of Contents
I. GETTING YOUR FEET ON THE GROUND
1. Building Your Basic Toolbox
1.1 Introduction: Could a Computer Simulation ever be useful? Why do Them?
1.2 How much should a simulation be trusted?
1.3 Who first used them and why they came about
1.4 What's the state of the art? What limits have been pushed?
1.5 The Simulation's New Clothes
1.6 Computer modeling is a very interdisciplinary field.
1.7 What types of models are most important for everyday things?
1.8 When do you build your own tools and when are black boxes the best?
2. Getting to Know the Neighborhood
2.2 The UNIX Operating System
2.3 The Vi Editor
2.4 A working introduction to C++: basic coding
2.5 How do I choose a good algorithm?
2.6 Compiling, linking and executing simple programs
2.7 Examples of what can be done wrong: compile errors, execution errors and bugs
2.8 Doing it Without a Supercomputer: computing on Macs and PC's.
2.9 Mapping your C++ knowledge to other computing languages
2.10 Critically thinking about your work: Relevance, applicability and limits
2.11 Your work in the broader context of the scientific and technological community
3. Visualizing Your Work and Representing Your Best Story
3.1 Introductory Thoughts
3.2 Visualizing two-dimensional data sets
3.3 Visualizing three-dimensional data sets
3.4 Making pictures and movies
3.5 A sample visualization program
3.6 Four- and higher - dimensional visualization: yes, it really works!
3.7 Cross-sensory visualization: what if you can't see or hear?
3.8 Limiting cases and effective (reduced) systems
3.9 Visualizing calculus part I: Derivatives
3.10 Visualizing calculus part II: Integrals
3.11 Critically thinking about how best to visualize your results
3.12 Examples of visualization and presentation of data
3. 13. Visualizing various stages of cancer cell growth
II. MODELS OF EVERYDAY THINGS
4. In the News: The Fun and the Dangerous
4.1 Modeling the flight of objects through fluids: using science to play a better game
4.3 A Physics Nerd, A Cool Guy and a Pool Table
4.4 Understanding Things of Danger in Hindsight and Foresight 4.5 Diseases
5. The Dances of Guitars, Bridges, and Atoms
5.1 Introductory Thoughts
5.2 A finite difference simulation of a guitar string
5.3 A little mathematical overhead that provides a wealth of understanding
5.4 Living in 2D: Sheets and Drums
5.5 Sometimes you win and sometimes you lose: Advantages and disadvantages of each method
5.6 When resonance isn't your friend: The Tacoma Narrows Bridge
5.7 Matter waves: Schrödinger's Equation
6. Going with the Flow
6.1. Introductory thoughts
6.2 How fluids move around boundaries
6.3 A sample program that calculates wind velocity in Cartesian coordinates
6.4 Snow in July
6.5 A sample program that simulates a snowstorm
6.6 How fluids move through porous media
6.7 The Heat Equation
III. BEYOND EVERYDAY PHENOMENA
7. One of the Most Versatile Simulation Tools Around
7.2 Theory behind the Material Point Method
7.3. A Material Point Method Program
7.4 Applications of the Material Point Method Simulation
8. Simulations that Explore Atoms and Planets
8.1 Introduction to Molecular Dynamics computer simulations
8.2 Molecular Dynamics simulation of a system of particles
8.3 Monte Carlo Simulations
8.4 How do we choose MD or MC?
8.5. The Dynamics of Planetary and Galactic Systems
8.6. Advanced planetary dynamics methods designed to save time: go climb a tree
IV. A GLIMPSE INTO MORE ADVANCED COMPUTING
9. Parallel Computing, Scripting, and GPUs
9.2 Decompositions: Breaking up is easy to do
9.3 Example Parallel Programs
9.4 Compiling and executing MPI codes
9.5 UNIX Scripting
9.6 Graphical Processing Units (GPU's)