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Introduction to Computational Science: Modeling and Simulation for the Sciences

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Computational science is a quickly emerging field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. However, limited educational materials exist in this field. Introduction to Computational Science fills this void with a flexible, readable textbook that assumes only a background in high school algebra and enables instructors to follow tailored pathways through the material. It is the first textbook designed specifically for an introductory course in the computational science and engineering curriculum.

The text embraces two major approaches to computational science System dynamics models with their global views of major systems that change with time; and cellular automaton simulations with their local views of how individuals affect individuals. While the text is generic, an extensive author-generated Web-site contains tutorials and files in a variety of software packages to accompany the text.

584 pages, Hardcover

First published May 2, 2006

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Displaying 1 - 4 of 4 reviews
6 reviews
February 8, 2026
Introduction to Computational Science is one of the strongest introductory textbooks I have encountered in this field. The chapter progression is deliberate and effective, guiding readers from foundational modeling concepts to advanced topics such as agent based simulations, matrix modeling, and hig performance computing. Each chapter reinforces computational thinking rather than rote technique, making the material both accessible and intellectually rigorous. The second edition’s expanded projects and new chapters significantly strengthen its relevance for modern computational science curricula.
4 reviews1 follower
February 8, 2026
This book excels at what many textbooks struggle to do: teaching students how to think computationally. Every chapter builds practical intuition through modeling, simulation, and real-world applications, without assuming an extensive mathematics or programming background. The new chapters on agent based modeling and matrices are especially valuable, and the project modules are thoughtfully designed for both individual and team based learning. It is an outstanding resource for students, educators, and self-learners alike.
4 reviews
February 8, 2026
Shiflet and Shiflet have produced a rare textbook that balances rigor, clarity, and approachability. The chapter by chapter structure introduces complex ideas such as numerical error, dynamical systems, and high performance computing in a way that feels intuitive rather than overwhelming. The emphasis on modeling and simulation across disciplines makes this book uniquely versatile. It stands out as the most complete and thoughtfully designed introduction to computational science available today.
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4 reviews1 follower
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May 28, 2010
Very good textbook. Easy to understand (and plenty of) examples.
Displaying 1 - 4 of 4 reviews