Simultaneous Mass Transfer and Chemical Reactions in Engineering Science – Ebook PDF Instant Delivery – ISBN(s): 9780128191934,0128191937
Product details:
- ISBN-10 : 0128191929
- ISBN-13 : 978-0128191927
- Author: Bertram K.C. Chan
Simultaneous Mass Transfer and Chemical Reactions in Engineering Science: Solution Methods and Chemical Engineering Applications illustrates how mathematical analyses, statistics, numerical analysis and computer programming can summarize simultaneous mass transfer and chemical reactions in engineering science for use in solving problems in quantitative Chemical and Biochemical Engineering design and analysis. The book provides statistical methodologies and R recipes for advective and diffusive problems in various geometrical configurations. The R-package ReacTran is used to showcase transport models in aquatic systems (rivers, lakes, oceans), porous media (floc aggregates, sediments, …) and even idealized organisms (spherical cells, cylindrical worms, …).
Table of contents:
1. INTRODUCTION TO SIMULTANEOUS MASS TRANSFER AND CHEMICAL REACTIONS IN ENGINEERING SCIENCE
1.1 Mathematical Models
1.2 Diffusion Models for Environmental Transport
2. DATA ANALYSIS USING R PROGRAMMING
2.1 Data and Processing
2.2 Beginning R
2.2.1 A First Session Using R
2.2.2 The R Environment
2.3 R as a Calculator
2.3.1 Mathematical Operations Using R
2.3.2 Assignment of Values in R, and Computations using Vectors and Matrices
2.3.3 Computations in Vectors and Simple Graphics
2.3.4 Use of Factors in R Programming
2.3.5 Simple Graphics
2.3.6 x as Vectors and Matrices in Statistics
2.3.7 Some Special Functions that Create Vectors
2.3.8 Arrays and Matrices
2.3.9 Use of the Dimension Function dim in R
2.3.10 Use of the Matrix Function matrix in R
2.3.11 Some Useful Functions Operating on Matrices in R
2.3.12 NA `Not Available? for Missing Values in Datasets
2.3.13 Special Functions That Create Vectors
2.4 Using R in Data Analysis in Human Genetic Epidemiology
2.4.1 Entering Data at the R Command Prompt
2.4.1.1 Creating a data-frame for R computation using the EXCEL spreadsheet (on a Windows platform)
2.4.1.2 Obtaining a Data Frame from a Text File
2.4.1.3 Data Entry and Analysis Using the Function data.entry()
2.4.1.4 Data Entry Using Several Available R Functions
2.4.1.5 Data Entry and Analysis Using the Function
2.4.1.6 Data Entry and Analysis Using the Function source()
2.4.1.7 Data Entry and Analysis Using the Spreadsheet Interface in R
2.4.1.8 Human Genetic epidemiology Using R: The CRAN Package GASTON in Genetics
2.4.2 The Function list() and the Making of data.frame() in R
2.5 Univariate, Bivariate, and Multivariate Data Analysis
2.5.1 Univariate Data Analysis
2.5.2 Bivariate and Multivariate Data Analysis
2.6 Some Final Remarks on Statistics and Biostatistics, Using
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