Victor A Bloomfield Boeken

Focusing on practical applications, this guide teaches scientists and engineers how to leverage R and its packages for solving complex mathematical problems. It includes worked examples and code to illustrate key concepts, covering essential aspects of R programming. Readers will learn to create informative graphs, perform statistical analyses, and fit data to both linear and nonlinear models. The book also delves into Monte Carlo methods, stochastic and deterministic approaches, numerical differentiation and integration, interpolation, curve fitting, and optimization techniques.

Presents an introduction to two important aspects of molecular biology and biophysics: computer simulation and data analysis. This title introduces tools to enable readers to learn and use fundamental methods for constructing quantitative models of biological mechanisms, including complex reaction equilibria and kinetics, and population models.