Victor A Bloomfield

Using R for Numerical Analysis in Science and Engineering

• Gebundenes Buch

Produktbeschreibung

This practical guide shows how to use R and its add-on packages to obtain numerical solutions to complex mathematical problems commonly faced by scientists and engineers. Providing worked examples and code, the text not only addresses necessary aspects of the R programming language but also demonstrates how to produce useful graphs and statistically analyze and fit data to linear and nonlinear models. It covers Monte Carlo, stochastic, and deterministic methods and explores topics such as numerical differentiation and integration, interpolation and curve fitting, and optimization.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 360
• Erscheinungstermin: 24. April 2014
• Englisch
• Abmessung: 241mm x 159mm x 25mm
• Gewicht: 634g
• ISBN-13: 9781439884485
• ISBN-10: 143988448X
• Artikelnr.: 40336848

Autorenporträt

Victor A. Bloomfield is currently emeritus professor at University of Minnesota, Minneapolis, USA. His research has encompassed more than four decades and a variety of topics, including enzyme kinetics, dynamic laser light scattering, bacteriophage assembly, DNA condensation, scanning tunneling microscopy, and single molecule stretching experiments on DNA. His theoretical work on biopolymer hydrodynamics and polyelectrolyte behavior has resulted in over 200 peer-reviewed journal publications. Using R for Numerical Analysis in Science and Engineering is an extension and broadening of his 2009 book, Computer Simulation and Data Analysis in Molecular Biology and Biophysics: An Introduction Using R, for general usage in science and engineering.

Inhaltsangabe

Introduction. Calculating. Graphing. Programming and Functions. Solving
Systems of Algebraic Equations. Numerical Differentiation and Integration.
Optimization. Ordinary Differential Equations. Partial Differential
Equations. Analyzing Data. Fitting Models to Data.