Using R for numerical analysis in science and engineering (Q2873810)

The book belongs to the R Series, whose purpose is to reflect the recent developments and applications of the software environment R, dedicated to statistical computing and graphics. It presents the most frequently encountered types of problems, accompanied by codes and examples / case studies selected from a variety of domains.NEWLINENEWLINEThe exposition is organized by considering eleven chapters, as follows: 1. Introduction, 2. Calculating, 3. Graphing, 4. Programming and functions, 5. Solving systems of algebraic equations, 6. Numerical differentiation and integration, 7. Optimization, 8. Ordinary differential equations, 9. Partial differential equations, 10. Analyzing data, 11. Fitting models to data.NEWLINENEWLINEThe presentation style is clear, and the codes are relevant from the point of view of the R programming language employment. The book may be very useful for practitioners, students and researchers who are interested in different types of statistical approaches.