Product Description

An introductory text, this book surveys a range of useful mathematical tools that either require or are illuminated by scientific computation. The focus is on the use of R, an open-source programming environment. Input and output, functions, data structures, and flow programming are covered, as are numerical techniques, probability, simulation, and stochastic modeling. Where appropriate, formal derivations are provided. The text is supplemented with simple yet relevant examples that allow students to see how the tools can be applied to contemporary problems.

Product Details

• Amazon Sales Rank: #153716 in Books
• Published on: 2009-03-11
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 472 pages

Review
The authors have written an excellent introduction to scientific programming with R. Their clear prose, logical structure, well-documented code and realistic examples made the book a pleasure to read. One particularly useful feature is the chapter of cases studies at the end, which not only demonstrates complete analyses but also acts as a pedagogical tool to review and integrate material introduced throughout the book. … I would strongly recommend this book for readers interested in using R for simulations, particularly for those new to scientific programming or R. It is also very student-friendly and would be suitable either as a course textbook or for self-study.
—Significance, September 2009

About the Author
University of Melbourne, Parkville, Australia

Customer Reviews

Introduction to Scientific Programming and Simulation Using R (Hardcover)
This brand new book is written by lecturers of University of Melbourne, to all who interested in modelling and simulation. Recommended highly.

Whom?
- Many people use R as a calculator and statistics. However, one can discover the full potential of R, in sense of programming language. This brand new book aims to all those who are engaged with R&D activities, especially statisticians, physicist, modellers, engineers and managers. Requires some background knowledge in mathematics and statistics.
What?
- If you want to learn R as a programming language, how to model real life problems, provide reliable estimation that's the right book for you. The authors balanced theory and practice and demonstrated fascinating simulations on inventory, forest fire and epidemics, so you would not get bored. The book provides some excellent examples for all those have passion in modelling and simulation. The book has four chapters such as programming, numerical techniques, probability and statistics and simulation.
How?
- The book is written based on active learning principles. The theory is explained and then example is given for its direct application. Then, you wish you may exercise and practice. The book provides some case studies.