http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Introduction to computational modeling using C and open-source tools
Because computational models usually require high-performance computing to solve large and complex scientific problems, this book presents an introduction to computational models and their implementation using the C programming language. Its primary goal is to present basic to semi-advanced principles of computational modeling, at the level of Calculus and Intermediate Programming. Emphasis is on reasoning about problems, conceptualizing the problem, mathematical modeling, and their computational solution that involves computing results and visualization. --
chapter 1. Problem solving and computing -- chapter 2. Programs -- chapter 3. Modular decomposition : functions -- chapter 4. More concepts of computational models -- chapter 5. Algorithms and programs -- chapter 6. Selection -- chapter 7. Repetition -- chapter 8. Arrays -- chapter 9. Pointers -- chapter 10. Linked lists -- chapter 11. Text data -- chapter 12. Computational models with arithmetic growth -- chapter 13. Computational models with quadratic growth -- chapter 14. Models with geometric growth -- chapter 15. Computational models with polynomials -- chapter 16. Models with interpolation and curve fitting -- chapter 17. Using vectors with the GSL -- chapter 18. Matrices and sets of linear equations -- chapter 19. Introduction to dynamical systems -- chapter 20. Linear optimization modeling -- chapter 21. Solving linear optimization problems -- chapter 22. Sensitivity analysis and duality -- chapter 23. Transportation models -- chapter 24. Network models -- chapter 25. Integer linear optimization models.
Jose M. Garrido, Kennesaw State University, Kennesaw Georgia, USA.
Chapman & Hall/CRC computational science series