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Submit a ProposalIntroduction to Mathematical Methods for Environmental Engineers and Scientists
 | By Charles Prochaska and Louis Theodore Copyright: 2018 | Status: Published ISBN: 9781119363491 | Hardcover | 498 pages | 109 illustrations Price: $195 USD  |
One Line Description
The authors’ aim is to offer the reader the fundamentals of numerous mathematical methods with accompanying practical environmental applications.
Audience
This book serves two main audiences: As a reference book for practicing environmental engineers, environmental scientists, and technicians involved with the environment; it may also be used as a textbook for beginning environmental students.
This book serves two main audiences: As a reference book for practicing environmental engineers, environmental scientists, and technicians involved with the environment; it may also be used as a textbook for beginning environmental students.
Description
The material in this book addresses mathematical calculations common to both the environmental science and engineering professionals. It provides the reader with nearly 100 solved illustrative examples and the interrelationship between both theory and applications is emphasized in nearly all of the 35 chapters. One key feature of this book is that the solutions to the problems are presented in a stand-alone manner. Throughout the book, the illustrative examples are laid out in such a way as to develop the reader’s technical understanding of the subject in question, with more difficult examples located at or near the end of each set.
In presenting the text material, the authors have stressed the pragmatic approach in the application of mathematical tools to assist the reader in grasping the role of mathematical skills in environmental problem-solving situations. The book is divided up into 5 parts:
• Introduction; Analytical Analysis; Numerical Analysis; Statistical Analysis; and Optimization.
• The analytical analysis includes graphical, trial-and-error, search, etc. methods.
• The numerical analysis includes integration, differentiation, differential equation, Monte Carlo, etc.
• The statistical analysis includes probability, probability distribution, decision trees, regression analysis, etc.
• Optimization includes both traditional approaches and linear programming.
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The material in this book addresses mathematical calculations common to both the environmental science and engineering professionals. It provides the reader with nearly 100 solved illustrative examples and the interrelationship between both theory and applications is emphasized in nearly all of the 35 chapters. One key feature of this book is that the solutions to the problems are presented in a stand-alone manner. Throughout the book, the illustrative examples are laid out in such a way as to develop the reader’s technical understanding of the subject in question, with more difficult examples located at or near the end of each set.
In presenting the text material, the authors have stressed the pragmatic approach in the application of mathematical tools to assist the reader in grasping the role of mathematical skills in environmental problem-solving situations. The book is divided up into 5 parts:
• Introduction; Analytical Analysis; Numerical Analysis; Statistical Analysis; and Optimization.
• The analytical analysis includes graphical, trial-and-error, search, etc. methods.
• The numerical analysis includes integration, differentiation, differential equation, Monte Carlo, etc.
• The statistical analysis includes probability, probability distribution, decision trees, regression analysis, etc.
• Optimization includes both traditional approaches and linear programming.
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Author / Editor Details
Charles Prochaska is a graduate student at Manhattan College pursuing a M.S. degree in chemical engineering. He is currently working in pre-clinical manufacturing process
development at Regeneron Pharmaceuticals.Before exploring chemical engineering, Charles worked as a cosmetics chemist and procedure consultant for three years. Charles researched biomolecule-nanoparticle interactions for the Center for Functional Nanomaterials located in Brookhaven National Laboratory as well as novel DNA nanotag development at St. Joseph’s College.
Charles Prochaska is a graduate student at Manhattan College pursuing a M.S. degree in chemical engineering. He is currently working in pre-clinical manufacturing process
development at Regeneron Pharmaceuticals.Before exploring chemical engineering, Charles worked as a cosmetics chemist and procedure consultant for three years. Charles researched biomolecule-nanoparticle interactions for the Center for Functional Nanomaterials located in Brookhaven National Laboratory as well as novel DNA nanotag development at St. Joseph’s College.
Louis Theodore, MChE and EngScD, is a retired professor of chemical engineering (50 years). He is the author of several publications, including Fluid Flow for the Practicing Chemical Engineer, Thermodynamics for the Practicing Engineer, Mass Transfer Operations for the Practicing Engineer, and Air Pollution Control Equipment Calculations. Dr. Theodore is also a contributor to Perry’s Chemical Engineers’ Handbook.
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Table of Contents
Preface
Part I: Introductory Principles
1 Fundamentals and Principles of Numbers
2 Series Analysis
3 Graphical Analysis
4 Flow Diagrams
5 Dimensional Analysis
6 Economics
7 Problem Solving
Part II: Analytical Analysis
8 Analytical Geometry
9 Differentiation
10 Integration
11 Differential Calculus
12 Integral Calculus
13 Matrix Algebra
14 Laplace Transforms
Part III: Numerical Analysis
15 Trial-and-Error Solutions
16 Nonlinear Algebraic Equations
17 Simultaneous Linear Algebraic Equations
18 Differentiation
19 Integration
20 Ordinary Differential Equations
21 Partial Differential Equations
Part IV: Statistical Analysis
22 Basic Probability Concepts
23 Estimation of Mean and Variance
24 Discrete Probability Distributions
25 Continuous Probability Distributions
26 Fault Tree and Event Tree Analysis
27 Monte Carlo Simulation
28 Regression Analysis
Part V: Optimization
29 Introduction to Optimization
30 Perturbation Techniques
31 Search Methods
32 Graphical Approaches
33 Analytical Approaches
34 Introduction to Linear Programming
35 Linear Programming Applications
Index
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Preface
Part I: Introductory Principles
1 Fundamentals and Principles of Numbers
2 Series Analysis
3 Graphical Analysis
4 Flow Diagrams
5 Dimensional Analysis
6 Economics
7 Problem Solving
Part II: Analytical Analysis
8 Analytical Geometry
9 Differentiation
10 Integration
11 Differential Calculus
12 Integral Calculus
13 Matrix Algebra
14 Laplace Transforms
Part III: Numerical Analysis
15 Trial-and-Error Solutions
16 Nonlinear Algebraic Equations
17 Simultaneous Linear Algebraic Equations
18 Differentiation
19 Integration
20 Ordinary Differential Equations
21 Partial Differential Equations
Part IV: Statistical Analysis
22 Basic Probability Concepts
23 Estimation of Mean and Variance
24 Discrete Probability Distributions
25 Continuous Probability Distributions
26 Fault Tree and Event Tree Analysis
27 Monte Carlo Simulation
28 Regression Analysis
Part V: Optimization
29 Introduction to Optimization
30 Perturbation Techniques
31 Search Methods
32 Graphical Approaches
33 Analytical Approaches
34 Introduction to Linear Programming
35 Linear Programming Applications
Index
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