Showing posts with label Engineering Mathematics. Show all posts
Showing posts with label Engineering Mathematics. Show all posts

Montgomery: Applied Statistics & Probability for Engineers 6th Edition

The text provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations. Applied Statistics, 6e is suitable for either a one- or two-term course in probability and statistics.

New to This Edition
  • Because computer-intensive methods are so important in the modern use of statistics, material on the bootstrap and its use in constructing confidence intervals has been added
  • Increased emphasis on the use of P-value in hypothesis testing, throughout the text
  • Explanations throughout the book have been refined to clarify the concepts, making them easier for students to understand.
  • The introductory chapter on hypothesis testing now includes coverage of equivalence testing, a technique widely used in the biopharmaceutical industry, but which also has widespread applications in other areas.
  • Combining P-values when performing multiple tests is included.
  • Many new examples and almost entirely revised homework exercises sections.

Contents
  • Chapter 1 The Role of Statistics in Engineering
  • Chapter 2 Probability
  • Chapter 3 Discrete Random Variables and Probability Distributions
  • Chapter 4 Continuous Random Variables and Probability Distributions
  • Chapter 5 Joint Probability Distributions
  • Chapter 6 Descriptive Statistics
  • Chapter 7 Sampling Distributions and Point Estimation of Parameters
  • Chapter 8 Statistical Intervals for a Single Sample
  • Chapter 9 Tests of Hypotheses for a Single Sample
  • Chapter 10 Statistical Inference for Two Samples
  • Chapter 11 Simple Linear Regression and Correlation
  • Chapter 12 Multiple Linear Regression
  • Chapter 13 Design and Analysis of Single-Factor Experiments: The Analysis of Variance
  • Chapter 14 Design of Experiments with Several Factors
  • Chapter 15 Statistical Quality Control
  • Appendices

Book Details

  • Hardcover: 832 pages
  • Publisher: Wiley; 6 edition (c2014)
  • Language: English
  • ISBN-10: 1118539710
  • ISBN-13: 978-1118539712
  • Product Dimensions: 10.2 x 8 x 1.4 inches
  • List Price: $218.95

Attaway: MATLAB 3rd Edition: A Practical Introduction to Programming & Problem Solving

MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems.

The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications.

The third edition of MATLAB: A Practical Introduction to Programming and Problem Solving has been updated to reflect the functionality of the current version of MATLAB. It features new and revised end-of-chapter exercises, stronger coverage of loops and vectorizing, and more engineering applications to help the reader learn this software tool in context.

Key Features
  • Presents programming concepts and MATLAB built-in functions side-by-side.
  • Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning.
  • Sections on common pitfalls and programming guidelines direct students towards best practice.

Contents
  • Chapter 1: Introduction to MATLAB
  • Chapter 2: Vectors and Matrices
  • Chapter 3: Introduction to MATLAB Programming
  • Chapter 4: Selection Statements
  • Chapter 5: Loop Statements and Vectorizing Code
  • Chapter 6: MATLAB Programs
  • Chapter 7: String Manipulation
  • Chapter 8: Data Structures: Cell Arrays and Structures
  • Chapter 9: Advanced File Input and Output
  • Chapter 10: Advanced Functions
  • Chapter 11: Advanced Plotting Techniques
  • Chapter 12: Basic Statistics, Sets, Sorting, and Indexing
  • Chapter 13: Sights and Sounds
  • Chapter 14: Advanced Mathematics

Readership
  • Engineers learning to program and model in MATLAB.
  • Undergraduates in engineering and science taking a course that uses (or recommends) MATLAB.

About the Authors
  • Stormy Attaway. Boston University. PhD Boston University Department of Mechanical Engineering at Boston University, and Associate Chair for the Manufacturing Engineering undergraduate program within the department. She has been the course coordinator for the Engineering Computation courses at Boston University for over twenty years, and has taught a variety of programming courses using many different languages and software packages.

Book Details

  • Paperback: 560 pages
  • Publisher: Butterworth-Heinemann; 3 edition (2013)
  • Language: English
  • ISBN-10: 0124058760
  • ISBN-13: 978-0124058767
  • Product Dimensions: 9.2 x 7.4 x 1.2 inches
  • List price: $54.95

Alexander: Engineering Skills for Career Success

This text explains the keys to success for students, helping them to learn how to acquire the skills necessary for successful through a system of examples, practice problems, and a series of end of chapter problems.

Engineering Skills for Career Success is intended to fit schools that are focusing on meeting the ABET guidelines by preparing their Engineering students for success in a wide variety of areas. Engineering professors will appreciate that the book takes a very applied case-oriented approach to the topic. The brief and modular nature of the text make it a natural fit for the B.E.S.T. series in CREATE.

Contents
SECTION I - BASIC SKILLS
  • Chapter 1 Four Principles for Earning Higher Grades 
  • Chapter 2 Develop Your Skill Set
  • Chapter 3 Time Management Skills
  • Chapter 4 Communication Skills
  • Chapter 5 Professional Presentation Skills
  • Chapter 6 Information Capturing Skills
SECTION II - ENGINEERING SKILLS
  • Chapter 7 Engineering Disciplines-A Fantastic Way to Have Fun!
  • Chapter 8 The Skill to Apply the Systems Approach to Engineering to Enhance Your Career Success
  • Chapter 9 Project Management and How to Use It as a Skill to Enhance Career Success
  • Chapter 10 Team Building Skills
  • Chapter 11 Engineering Skills for Ethical Dilemmas
  • Chapter 12 Leadership Skills
SECTION III - CAREER SKILLS
  • Chapter 13 Career Management Skills
  • Chapter 14 Networking and Professional Development Skills
  • Chapter 15 Co-Op/Internship and Other Practical Experiences and How This Can Enhance Career Success
  • Chapter 16 Graduate School, Maybe the Ultimate Way to Enhance Career Success!
  • Chapter 17 Through the Looking Glass, Bring All the Skills You Have Acquired to Build a Successful Career

About the Author
  • Dr. Charles K. Alexander (Athens, OH) is a Professor of Electrical Engineering and Computer Science at the University of Ohio and served as the President and CEO of the IEEE from 1996-1999.

Book Details

  • Paperback: 352 pages
  • Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (©2013)
  • Language: English
  • ISBN-10: 0073385921
  • ISBN-13: 978-0073385921
  • Product Dimensions: 7.9 x 0.5 x 9.1 inches
  • List Price: 65.33

Gupta: Statistics & Probability with Applications for Engineers & Scientists

Introducing the tools of statistics and probability from the ground up. An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences.

Unique among books of this kind, it covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab and Microsoft Office Excel to analyze various data sets.

Key Features
  • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices
  • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method
  • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology
  • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP routines and results

Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Contents
Chapter 1 | Introduction
  • 1.1 Designed Experiment
  • 1.2 A Survey
  • 1.3 An Observational Study
  • 1.4 A Set of Historical Data
  • 1.5 A Brief Description of What is Covered in This Book
PART I
Chapter 2 | Describing Data Graphically and Numerically
  • 2.1 Getting Started with Statistics
  • 2.2 Classification of Various Types of Data
  • 2.3 Frequency Distribution Tables for Qualitative and Quantitative Data
  • 2.4 Graphical Description of Qualitative and Quantitative Data
  • 2.5 Numerical Measures of Quantitative Data
  • 2.6 Numerical Measures of Grouped Data
  • 2.7 Measures of Relative Position
  • 2.8 Box-Whisker Plot
  • 2.9 Measures of Association
  • 2.10 Case Studies
  • 2.11 Using JMP1
Chapter 3 | Elements of Probability
  • 3.1 Introduction
  • 3.2 Random Experiments, Sample Spaces, and Events
  • 3.3 Concepts of Probability
  • 3.4 Techniques of Counting Sample Points
  • 3.5 Conditional Probability
  • 3.6 Bayes’s Theorem
  • 3.7 Introducing Random Variables
Chapter 4 | Discrete Random Variables and Some Important Discrete Probability Distributions
  • 4.1 Graphical Descriptions of Discrete Distributions
  • 4.2 Mean and Variance of a Discrete Random Variable
  • 4.3 The Discrete Uniform Distribution
  • 4.4 The Hypergeometric Distribution
  • 4.5 The Bernoulli Distribution
  • 4.6 The Binomial Distribution
  • 4.7 The Multinomial Distribution
  • 4.8 The Poisson Distribution
  • 4.9 The Negative Binomial Distribution
  • 4.10 Some Derivations and Proofs (Optional)
  • 4.11 A Case Study
  • 4.12 Using JMP
Chapter 5 | Continuous Random Variables and Some Important Continuous Probability Distributions
  • 5.1 Continuous Random Variables
  • 5.2 Mean and Variance of Continuous Random Variables
  • 5.3 Chebychev’s Inequality
  • 5.4 The Uniform Distribution
  • 5.5 The Normal Distribution
  • 5.6 Distribution of Linear Combination of Independent Normal Variables
  • 5.7 Approximation of the Binomial and Poisson Distribution by the Normal Distribution
  • 5.8 A Test of Normality
  • 5.9 Probability Models Commonly Used in Reliability Theory
Chapter 6 | Distribution of Functions of Random Variables
  • 6.1 Introduction
  • 6.2 Distribution Functions of Two Random Variables
  • 6.3 Extension to Several Random Variables
  • 6.4 The Moment-Generating Function Revisited
Chapter 7 | Sampling Distributions
  • 7.1 Random Sampling
  • 7.2 The Sampling Distribution of the Mean
  • 7.3 Sampling from a Normal Population
  • 7.4 Order Statistics
Chapter 8 | Estimation of Population Parameters
  • 8.1 Introduction
  • 8.2 Point Estimators for the Population Mean and Variance
  • 8.3 Interval Estimators for the Mean m of a Normal Population
  • 8.4 Interval Estimators for the Difference of Means of Two Normal Populations
  • 8.5 Interval Estimators for the Variance of a Normal Population
  • 8.6 Interval Estimator for the Ratio of Variances of Two Normal Populations
  • 8.8 Determination of Sample Size
  • 8.9 Some Supplemental Information
Chapter 9 | Hypothesis Testing
  • 9.1 Introduction
  • 9.2 Basic Concepts of Testing a Statistical Hypothesis
  • 9.3 Tests Concerning the Mean of a Normal Population Having Known Variance
  • 9.4 Tests Concerning the Mean of a Normal Population Having Unknown Variance
  • 9.5 Large Sample Theory
  • 9.6 Tests Concerning the Difference of Means of Two Populations Having Distributions with Known Variances
  • 9.7 Tests Concerning the Difference of Means of Two Populations Having Normal Distributions with Unknown Variances
  • 9.8 Testing Population Proportions
  • 9.9 Tests Concerning the Variance of a Normal Population
  • 9.10 Tests Concerning the Ratio of Variances of Two Normal Populations
  • 9.11 Testing of Statistical Hypotheses Using Confidence Intervals
  • 9.12 Sequential Tests of Hypotheses
PART II
Chapter 10 | Elements of Reliability Theory
  • 10.1 The Reliability Function
  • 10.2 Estimation: Exponential Distribution
  • 10.3 Hypothesis Testing: Exponential Distribution
  • 10.4 Estimation: Weibull Distribution
Chapter 11 | Statistical Quality Control—Phase I Control Charts
  • 11.1 Basic Concepts of Quality and Its Benefits
  • 11.2 What a Process Is and Some Valuable Tools
  • 11.3 Common and Assignable Causes
  • 11.4 Control Charts
  • 11.5 Control Charts for Variables
  • 11.6 Control Charts for Attributes
  • 11.7 Process Capability
Chapter 12 | Statistical Quality Control—Phase II Control Charts
  • 12.1 Introduction
  • 12.2 Basic Concepts of CUSUM Control Chart
  • 12.3 Designing a CUSUM Control Chart
  • 12.4 The Moving Average (MA) Control Chart
  • 12.5 The Exponentially Weighted Moving Average (EWMA) Control Chart
Chapter 13 | Analysis of Categorical Data
  • 13.1 Introduction
  • 13.2 The Chi-Square Goodness-of-Fit Test
  • 13.3 Contingency Tables
  • 13.4 Chi-Square Test for Homogeneity
  • 13.5 Comments on the Distribution of the Lack-of-Fit Statistics
Chapter 14 | Nonparametric Tests
  • 14.1 Introduction
  • 14.2 The Sign Test
  • 14.3 Mann–Whitney (Wilcoxon) W Test for Two Samples
  • 14.4 Runs Test
  • 14.5 Spearman Rank Correlation
Chapter 15 | Simple Linear Regression Analysis
  • 15.1 Introduction
  • 15.2 Fitting the Simple Linear Regression Model
  • 15.3 Unbiased Estimator of s2
  • 15.4 Further Inferences Concerning Regression Coefficients (b0, b1), E(Y), and Y
  • 15.5 Tests of Hypotheses for b0 and b1
  • 15.6 Analysis of Variance Approach to Simple Linear Regression Analysis
  • 15.7 Residual Analysis
  • 15.8 Transformations
  • 15.9 Inference About r
Chapter 16 | Multiple Linear Regression Analysis
  • 16.1 Introduction
  • 16.2 Multiple Linear Regression Models
  • 16.3 Estimation of Regression Coefficients
  • 16.4 Multiple Linear Regression Model Using Quantitative and Qualitative Predictor Variables
  • 16.5 Standardized Regression Coefficients
  • 16.6 Building Regression Type Prediction Models
  • 16.7 Residual Analysis and Certain Criteria for Model Selection
  • 16.8 Logistic Regression
Chapter 17 | Analysis of Variance
  • 17.1 Introduction
  • 17.2 The Design Models
  • 17.3 One-Way Experimental Layouts
  • 17.4 Randomized Complete Block Designs
  • 17.5 Two-Way Experimental Layouts
  • 17.6 Latin Square Designs
  • 17.7 Random-Effects and Mixed-Effects Models
Chapter 18 | The 2k Factorial Designs
  • 18.1 Introduction
  • 18.2 The Factorial Designs
  • 18.3 The 2k Factorial Design
  • 18.4 Unreplicated 2k Factorial Designs
  • 18.5 Blocking in the 2k Factorial Design
  • 18.6 The 2k Fractional Factorial Designs
Chapter 19 | Response Surfaces
Appendices
  • Appendix A | Statistical Tables
  • Appendix B | Answers to Selected Problems
  • Appendix C | Bibliography
  • Index

About the Authors
  • BHISHAM C. GUPTA, PhD, is Professor in the Department of Mathematics and Statistics at the University of Southern Maine. Dr. Gupta has written four books and more than thirty articles.
  • IRWIN GUTTMAN, PhD, is Professor Emeritus of Statistics in the Department of Mathematics at the State University of New York at Buffalo and Department of Statistics at the University of Toronto, Canada. Dr. Guttman has written five books and over 140 articles.

Book Details

  • Hardcover: 896 pages
  • Publisher: Wiley; 1 edition (April 29, 2013)
  • Language: English
  • ISBN-10: 1118464044
  • ISBN-13: 978-1118464045
  • List Price: $135.00

Zill: Advanced Engineering Mathematics 5th Edition

Modern and comprehensive, the new Fifth Edition of Zill's Advanced Engineering Mathematics, Fifth Edition provides an in-depth overview of the many mathematical topics required for students planning a career in engineering or the sciences.  A key strength of this best-selling text is Zill's emphasis on differential equations as mathematical models, discussing the constructs and pitfalls of each.  

The Fifth Edition is a full compendium of topics that are most often covered in the Engineering Mathematics course or courses, and is extremely flexible, to meet the unique needs of various course offerings ranging from ordinary differential equations to vector calculus.  The new edition offers a reorganized project section to add clarity to course material and new content has been added throughout, including new discussions on: Autonomous Des and Direction Fields; Translation Property, Bessel Functions, LU-Factorization, Da Vinci's apparatus for determining speed and more.

Key Features
  • Available with WebAssign with full integrated eBook
  • Two new chapters, Probability and Statistics, are available online
  • Updated example throughout
  • Projects, formerly found at the beginning of the text, are now included within the appropriate chapters.
  • New and updated content throughout including new discussions on: Autonomous Des and Direction Fields; Translation Property, Bessel Functions, LU-Factorization, Da Vinci's apparatus for determining speed and more.
  • The Student Companion Website, included with every new copy, includes a wealth of study aids, learning tools, projects, and essays to enhance student learning
  • Instructor materials include: complete instructor solutions manual, PowerPoint Image Bank, and Test Bank.

Contents
  • Chapter 1 Introduction to Differential Equations
Part 1 Ordinary Differential Equations
  • Chapter 2 First-Order Differential Equations
  • Chapter 3 Higher-Order Differential Equations
  • Chapter 4 The Laplace Transform
  • Chapter 5 Series Solutions of Linear Differential Equations
  • Chapter 6 Numerical Solutions of Ordinary Differential Equations
Part 2 Vectors, Matrices, and Vector Calculus
  • Chapter 7 Vectors
  • Chapter 8 Matrices
  • Chapter 9 Vector Calculus
Part 3 Systems of Differential Equations
  • Chapter 10 Systems of Linear Differential Equations
  • Chapter 11 Systems of Nonlinear Differential Equations
Part 4 Partial Differential Equations
  • Chapter 12 Orthogonal Functions and Fourier Series
  • Chapter 13 Boundary-Value Problems in Rectangular Coordinates
  • Chapter 14 Boundary-Value Problems in Other Coordinate Systems
  • Chapter 15 Integral Transform Method
  • Chapter 16 Numerical Solutions of Partial Differential Equations
Part 5 Complex Analysis
  • Chapter 17 Functions of a Complex Variable
  • Chapter 18 Integration in the Complex Plane
  • Chapter 19 Series and Residues
  • Chapter 20 Conformal Mappings

About the Author
  • Dennis G. Zill, Loyola Marymount University. He received a PhD in applied mathematics from Iowa State University and is currently professor of mathematics and former chair of the mathematics department at Loyola Marymount University in Los Angeles. Zill's research interests include Applied Mathematics, Special Functions, and Integral Transforms.

Book Details

  • Hardcover: 1004 pages
  • Publisher: Jones & Bartlett Learning; 5 edition (©2014)
  • Language: English
  • ISBN-10: 1449691722
  • ISBN-13: 978-1449691721
  • Product Dimensions: 11 x 8.6 x 1.5 inches
  • List Price: $266.95

Helsel: Statistics for Censored Environmental Data Using Minitab & R 2nd Edition

Statistical Methods for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies.

This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab® into the discussed analyses, the book features newly developed and updated material including:
  • A new chapter on multivariate methods for censored data.
  • Use of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data").
  • A section on summing data with nondetects.
  • A newly written introduction that discusses invasive data, showing why substitution methods fail
  • Expanded coverage of graphical methods for censored data.

The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab® and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences.

Statistics for Censored Environmental Data Using Minitab® and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for¿environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.

Contents 
  • Introduction to the First Edition: An Accident Waiting To Happen.
  • Introduction to the Second Edition: Invasive Data.
  • 1 Things People Do with Censored Data that Are Just Wrong.
  • 2 Three Approaches for Censored Data.
  • 3 Reporting Limits.
  • 4 Reporting, Storing, and Using Censored Data.
  • 5 Plotting Censored Data.
  • 6 Computing Summary Statistics and Totals.
  • 7 Computing Interval Estimates.
  • 8 What Can be Done When All Data Are Below the Reporting Limit?
  • 9 Comparing Two Groups.
  • 10 Comparing Three or More Groups.
  • 11 Correlation.
  • 12 Regression and Trends.
  • 13 Multivariate Methods for Censored Data.
  • 14 The NADA for R Software.
  • Appendix: Datasets.
  • References.
  • Index

About the Author
  • Dennis R. Helsel, PhD, is owner and Principal Scientist of Practical Stats, where he designs and conducts training courses in environmental statistics for scientists. He has over thirty years of experience working with the U.S. Geological Survey and is the author of numerous published articles on nondetect data and statistical methods in the environmental sciences. Dr. Helsel is the recipient of the Distinguished Service Award from the U.S. Department of the Interior (2007) as well as the Distinguished Achievement Award from the American Statistical Association (2003).

Book Details

  • Hardcover: 344 pages
  • Publisher: Wiley; 2 edition (February 1, 2012)
  • Language: English
  • ISBN-10: 0470479884
  • ISBN-13: 978-0470479889
  • Product Dimensions: 9.3 x 6.4 x 1 inches
List Price: $115.00 
 

Himmelblau: Basic Principles & Calculations in Chemical Engineering 8th Edition

This reference provides a complete, practical, and student-friendly introduction to the principles and techniques of modern chemical, petroleum, and environmental engineering. The authors introduce efficient and consistent methods for solving problems, analyzing data, and conceptually understanding a wide variety of processes. This edition has been revised to reflect growing interest in the life sciences, adding biotechnology and bioengineering problems and examples throughout. It also adds many new examples and homework assignments on nanotechnology, environmental, and green engineering, plus many updates to existing examples. A new chapter presents multiple student projects, and several chapters from the previous edition have been condensed for greater focus.

Key Features
  • Thoroughly covers material balances, gases, liquids, and energy balances.
  • Contains new biotech and bioengineering problems throughout.
  • Adds new examples and homework on nanotechnology, environmental engineering, and green engineering.
  • All-new student projects chapter.
  • Self-assessment tests, discussion problems, homework, and glossaries in each chapter.

New To This Edition
  • This edition has been revised to reflect growing interest in the life sciences, adding biotechnology and bioengineering problems and examples throughout. 
  • It also adds many new examples and homework assignments on nanotechnology, environmental, and green engineering, plus many updates to existing examples. 
  • A new chapter presents multiple student projects, and several chapters from the previous edition have been condensed for greater focus.
Contents
Part I: Introduction
  • Chapter 1: What is Chemical Engineering?
  • Chapter 2: Introductory Concepts
Part II: Material Balances
  • Chapter 3: Material Balances
  • Chapter 4: Material Balances Without Reaction
  • Chapter 5: Material Balances Involving Reaction
  • Chapter 6: Material Balances for Multiple Unit Systems
Part III: Gases and Liquids
  • Chapter 7: Ideal and Real Gases
  • Chapter 8: Multi-Phase Equilibrium
Part IV: Energy Balances
  • Chapter 9: Energy Balances 
  • Chapter 10: Energy Balances: How to Account for Chemical Reactions
  • Chapter 11: Humidity (Psychrometric) Charts and Their Use
Part V: Supplementary Material (On the Accompanying CD)
  • Chapter 12: Analysis of the Degrees of Freedom in a Steady-State Process
  • Chapter 13: Liquids and Gases in Equilibrium with Solids
  • Chapter 14: The Mechanical Energy Balance
  • Chapter 15: Solving Material and Energy Balances Using Process Simulators
  • Chapter 16: Unsteady-State Material and Energy Balances
Various Physical Property Appendixes
  • Appendix F: Physical Properties of Various Organic and Inorganic Substances
  • Appendix G: Heat Capacity Equations (Appendix E in 7e)
  • Appendix H: Vapor Pressures
  • Appendix I: Heats of Solution and Dilution
  • Appendix J: Enthalpy-Concentration Data
  • Appendix K: Thermodynamic Charts
  • Appendix L: Physical Properties of Petroleum Fraction
  • Appendix M: Solution of Sets of Equations
  • Appendix N: Fitting Functions to Data
Index

About the Author
  • David M. Himmelblau was (until his death in April) the American Petrofina Foundation Centennial Professor in Chemical Engineering at the University of Texas, Austin. The author of sixteen books, his areas of research included the use of artificial neural networks for fault diagnosis and data rectification. 
  • James B. Riggs is Professor in the Chemical Engineering Department at Texas Tech University, where he directs the Texas Tech Process Control and Optimization Consortium. His books include Chemical Process Control, Second Edition and An Introduction to Numerical Methods for Chemical Engineers, Second Edition.

Product Details

  • Hardcover: 768 pages
  • Publisher: Prentice Hall; 8 edition (March 24, 2012)
  • Language: English
  • ISBN-10: 0132346605
  • ISBN-13: 978-0132346603

List Price: $144.00 
 

Stroud: Advanced Engineering Mathematics 5th Edition

Revised, expanded, and extremely comprehensive, this best-selling reference is almost like having your own personal tutor.

  • Numerical Solution of Equations and Interpolation.
  • Laplace Transforms Part 1.
  • Laplace Transforms Part 2.
  • Laplace Transforms Part 3.
  • Z Transforms.
  • Fourier Series.
  • Introduction to the Fourier Transforms.
  • Power Series Solutions of Ordinary Differential Equations.
  • Numerical Solutions of Ordinary Differential Equations.
  • Partial Differentiation.
  • Partial Differential Equations.
  • Matrix Algebra.
  • Numerical Solutions of Partial Differential Equations.
  • Multiple Integration 1.
  • Multiple Integration 2.
  • Integral Functions.
  • Vector Analysis 1.
  • Vector Analysis 2.
  • Vector Analysis 3.
  • Complex Analysis 1.
  • Complex Analysis 2.
  • Complex Analysis 3.
  • Optimization and Linear Programming.
  • Appendix.
  • Answers.
  • Index.


You proceed at your own rate and any difficulties you may encounter are resolved before you move on to the next topic. With a step-by-step programmed approach that is complemented by hundreds of worked examples and exercises, Advanced Engineering Mathematics is ideal as an on-the-job reference for professionals or as a self-study guide for students.


Key Features
  • Uses a unique technique-oriented approach that takes the reader through each topic step-by-step.
  • Features a wealth of worked examples and progressively more challenging exercises.
  • Contains Test Exercises, Learning Outcomes, Further Problems, and Can You? Checklists to guide and enhance learning and comprehension.
  • Expanded coverage includes new chapters on Z Transforms, Fourier Transforms, Numerical Solutions of Partial Differential Equations, and more Complex Numbers.
  • Includes a new chapter, Introduction to Invariant Linear Systems, and new material on difference equations integrated into the Z transforms chapter.


About the Author
  • K.A. Stroud is formerly Principal Lecturer in the Department of Mathematics at Lanchester Polytechnic (now Coventry University), UK. He is also the author of Foundation Mathematics and Engineering Mathematics, companion volumes to this book. DEXTER J. BOOTH Formerly Principal Lecturer in the School of Computing and Engineering at the University of Huddersfield, UK. He is the author of several mathematics textbooks and is co-author of Foundation Mathematics and the sixth edition of Engineering Mathematics.


Book Details

  • Paperback: 1100 pages
  • Publisher: Industrial Press, Inc.; 5 edition (2011)
  • Language: English
  • ISBN-10: 0831134496
  • ISBN-13: 978-0831134495
  • Product Dimensions: 9.7 x 7.4 x 2.2 inches
List Price: $72.95 
 

Rohde: Introduction to Differential Calculus: Systematic Studies with Engineering Applications for Beginners

  • 1 From Arithmetic to Algebra.
  • 2 The Concept of Function.
  • 3 Discovery of Real Numbers (Through Traditional Algebra).
  • 4 From Geometry to Co-ordinate Geometry.
  • 5 Trigonometry and Trigonometric Functions.
  • 6 More about Functions.
  • 7 (a): The Concept of Limit of a Function.
  • 7 (b): Methods for Computing Limits of Algebraic Functions.
  • 8 The Concept of Continuity of a Function and the Points of Discontinuity.
  • 9 The Idea of Derivative of a Function.
  • 10. Algebra of Derivatives: Rules for Computing Derivatives of Various Combinations of Differentiable Functions.
  • 11 (a): Basic Trigonometric Limits and Their Applications in Computing Derivatives of Trigonometric Functions.
  • 11 (b): Methods of Computing Limits of Trigonometric Functions.
  • 12 Exponential Form(s) of a Positive Real Numbers and its Logarithms.
  • 13 (a): Exponential and Logarithmic Functions as Their Derivatives.
  • 13 (b): Methods for Computing Limits and Exponential and Logarithmic Functions.
  • 14 Inverse Trigonometric Functions and Their Derivatives.
  • 15 (a): Implicit Functions and Their Differentiation.
  • 15 (b): Parametric Functions and Their Differentiation.
  • 16 Differentials ‘dy’ and ‘dx’: Meanings and Applications.
  • 17 Derivatives and Differentials of Higher Order.
  • 18 Applications of Derivatives in Studying Motion in a Straight Line.
  • 19 (a): Increasing and Decreasing Functions and the Sign of the First Derivative.
  • 19 (b): Maximum and Minimum Values of a Function.
  • 20 Rolle’s Theorem and the Mean Value Theorem (MVT).
  • 21 The Generalized Mean Value Theorem (Cauchy’s MVT), L’Hospital’s Rule, and Its Applications.
  • 22 Extending the Mean Value Theorem to taylor’s Formula: Taylor Polynomials for Certain Functions.
  • 23 Hyperbolic Functions and Their Properties.


Introduction to Differential Calculus: Systematic Studies with Engineering Applications for Beginners explores the differential calculus and its plentiful applications in engineering and the physical sciences. The first six chapters offer a refresher of algebra, geometry, coordinate geometry, trigonometry, the concept of function, etc. since these topics are vital to the complete understanding of calculus. The book then moves on to the concept of limit of a function. Suitable examples of algebraic functions are selected, and their limits are discussed to visualize all possible situations that may occur in evaluating limit of a function, other than algebraic functions. Also, applications and limitations of this definition, along with the algebra of limits (i.e. limit theorems) are discussed. Finally, Sandwich theorem, which is useful for evaluating limit(s) of trigonometric functions, is proved, and the concept of onesided limits is introduced.

The methods for computing limits of algebraic functions are discussed, and the concept of continuity and related concepts are also featured at length. Suitable examples of functions and their graphs are selected carefully to prevent reader confusion. Classification of the points of discontinuity is explained, and the methods for checking continuity of functions involving trigonometric, exponential, and logarithmic functions are discussed through solved examples. Theorems on continuity of functions (i.e. algebra of continuous functions) are stated without proof. Also, very important theorems on continuity (without proof) are provided.


About the Author
  • Ulrich L. Rohde, PhD, ScD, Dr-Ing, is Chairman of Synergy Microwave Corporation, President of Communications Consulting Corporation, and a Partner of Rohde & Schwarz. A Fellow of the IEEE, Professor Rohde holds several patents and has published more than 200 scientific papers.
  • G. C. Jain, BSc, is a retired scientist from the Defense Research and Development Organization in India.
  • Ajay K. Poddar, PhD, is Chief Scientist at Synergy Microwave Corporation. A Senior Member of the IEEE, Dr. Poddar holds several dozen patents and has published more than 180 scientific papers.
  • A. K. Ghosh, PhD, is Professor in the Department of Aerospace Engineering at IIT Kanpur, India. He has published more than 120 scientific papers.


Book Details

  • Hardcover: 784 pages
  • Publisher: Wiley; 1 edition (December, 2011)
  • Language: English
  • ISBN-10: 1118117751
  • ISBN-13: 978-1118117750

List Price: $140.00 
 

Rohde: Introduction to Integral Calculus: Systematic Studies with Engineering Applications for Beginners

1 Antiderivative(s) [or Indefinite Integral(s)] 
  • 1.1 Introduction 
  • 1.2 Useful Symbols, Terms, and Phrases Frequently Needed 
  • 1.3 Table(s) of Derivatives and their corresponding Integrals 
  • 1.4 Integration of Certain Combinations of Functions 
  • 1.5 Comparison Between the Operations of Differentiation and Integration 
2 Integration Using Trigonometric Identities 
  • 2.1 Introduction 
  • 2.2 Some Important Integrals Involving sin x and cos x 
  • 2.3 Integrals of the Form Ð ðdx=ða sin xþb cos xÞÞ, where a, b 2 r 
3a Integration by Substitution: Change of Variable of Integration 
  • 3a.1 Introduction 
  • 3a.2 Generalized Power Rule 
  • 3a.3 Theorem 
  • 3a.4 To Evaluate Integrals of the Form ð a sin xþb cos x c sin xþd cos x dx; where a, b, c, and d are constant 
3b Further Integration by Substitution: Additional Standard Integrals 
  • 3b.1 Introduction 
  • 3b.2 Special Cases of Integrals and Proof for Standard Integrals 
  • 3b.3 Some New Integrals 
  • 3b.4 Four More Standard Integrals 
4a Integration by Parts 
  • 4a.1 Introduction 
  • 4a.2 Obtaining the Rule for Integration by Parts 
  • 4a.3 Helpful Pictures Connecting Inverse Trigonometric Functions with Ordinary Trigonometric Functions 
  • 4a.4 Rule for Proper Choice of First Function 
4b Further Integration by Parts: Where the Given Integral Reappears on Right-Hand Side 
  • 4b.1 Introduction 
  • 4b.2 An Important Result: A Corollary to Integration by Parts 
  • 4b.3 Application of the Corollary to Integration by Parts to Integrals that cannot be Solved Otherwise 
  • 4b.4 Simpler Method(s) for Evaluating Standard Integrals 
  • 4b.5 To Evaluate Ð ax2 þbxþc p dx 
5 Preparation for the Definite Integral: The Concept of Area 
  • 5.1 Introduction 139
  • 5.2 Preparation for the Definite Integral 140
  • 5.3 The Definite Integral as an Area 143
  • 5.4 Definition of Area in Terms of the Definite Integral 
  • 5.5 Riemann Sums and the Analytical Definition of the Definite Integral 
6a The Fundamental Theorems of Calculus 
  • 6a.1 Introduction 
  • 6a.2 Definite Integrals 
  • 6a.3 The Area of Function A(x) 
  • 6a.4 Statement and Proof of the Second Fundamental Theorem of Calculus 
  • 6a.5 Differentiating a Definite Integral with Respect to c a Variable Upper Limit 
6b The Integral Function Ð x 1 1 t dt, (x > 0) Identified as ln x or loge x 
  • 6b.1 Introduction 
  • 6b.2 Definition of Natural Logarithmic Function 
  • 6b.3 The Calculus of ln x 
  • 6b.4 The Graph of the Natural Logarithmic Function ln x 
  • 6b.5 The Natural Exponential Function [exp(x) or ex] 
7a Methods for Evaluating Definite Integrals 
  • 7a.1 Introduction 197
  • 7a.2 The Rule for Evaluating Definite Integrals 
  • 7a.3 Some Rules (Theorems) for Evaluation of Definite Integrals 
  • 7a.4 Method of Integration by Parts in Definite Integrals 
7b Some Important Properties of Definite Integrals 
  • 7b.1 Introduction 
  • 7b.2 Some Important Properties of Definite Integrals 
  • 7b.3 Proof of Property (P0) 
  • 7b.4 Proof of Property (P5) 
  • 7b.5 Definite Integrals: Types of Functions 
8a Applying the Definite Integral to Compute the Area of a Plane Figure 
  • 8a.1 Introduction 
  • 8a.2 Computing the Area of a Plane Region 
  • 8a.3 Constructing the Rough Sketch [Cartesian Curves] 
  • 8a.4 Computing the Area of a Circle (Developing Simpler Techniques) 
8b To Find Length(s) of Arc(s) of Curve(s), the Volume(s) of Solid(s) of Revolution, and the Area(s) of Surface(s) of Solid(s) of Revolution 
  • 8b.1 Introduction 
  • 8b.2 Methods of Integration 
  • 8b.3 Equation for the Length of a Curve in Polar Coordinates 
  • 8b.4 Solids of Revolution 
  • 8b.5 Formula for the Volume of a “Solid of Revolution” 
  • 8b.6 Area(s) of Surface(s) of Revolution 
9a Differential Equations: Related Concepts and Terminology 
  • 9a.1 Introduction 
  • 9a.2 Important Formal Applications of Differentials (dy and dx) 
  • 9a.3 Independent Arbitrary Constants (or Essential Arbitrary Constants) 
  • 9a.4 Definition: Integral Curve 
  • 9a.5 Formation of a Differential Equation from a Given Relation, Involving Variables and the Essential Arbitrary Constants (or Parameters) 
  • 9a.6 General Procedure for Eliminating “Two” Independent Arbitrary Constants (Using the Concept of Determinant) 
  • 9a.7 The Simplest Type of Differential Equations 
9b Methods of Solving Ordinary Differential Equations of the First Order and of the First Degree 
  • 9b.1 Introduction 
  • 9b.2 Methods of Solving Differential Equations 
  • 9b.3 Linear Differential Equations 
  • 9b.4 Type III: Exact Differential Equations 
  • 9b.5 Applications of Differential Equations
Index

 
This book explores the integral calculus and its plentiful applications in engineering and the physical sciences. The authors aim to develop a basic understanding of integral calculus combined with scientific problems, and throughout, the book details the numerous applications of calculus as well as presents the topic as a deep, rich, intellectual achievement. The needed fundamental information is presented in addition to plentiful references, exercises, and examples. The definition of an integral is motivated by the familiar notion of area. Although the methods of plane geometry allow for the areas of polygons to be calculated, they do not provide ways of finding the area of plane regions whose boundaries are curves other than circles.

By means of the integral, the areas of many such regions can be found. The authors also use this definition to calculate volumes and length of curves etc. Topical coverage includes anti-differentiation; integration of trigonometric functions; integration by substitution; methods of substitution; the definite integral; methods for evaluating definite integrals; differential equations and their solutions; and ordinary differential equations of first order and first degree.


About the Author
  • Ulrich L. Rohde, PhD, ScD, Dr-Ing, is Chairman of Synergy Microwave Corporation, President of Communications Consulting Corporation, and a Partner of Rohde & Schwarz. A Fellow of the IEEE, Professor Rohde holds several patents and has published more than 200 scientific papers.
  • G. C. Jain, B.Sc., is a retired scientist from the Defense Research and Development Organization in India.
  • Ajay K. Poddar, PhD, is Chief Scientist at Synergy Microwave Corporation. A Senior Member of the IEEE, Dr. Poddar holds several dozen patents and has published more than 180 scientific papers.
  • A. K. Ghosh, PhD, is Professor in the Department of Aerospace Engineering at the IIT Kanpur, India. He has published more than 120 scientific papers.


Book Details

  • Hardcover: 432 pages
  • Publisher: Wiley; 1 edition (December 13, 2011)
  • Language: English
  • ISBN-10: 111811776X
  • ISBN-13: 978-1118117767 

List Price: $115.00 
 

ONeil: Advanced Engineering Mathematics 7th Edition

PART I
1. First-Order Differential Equations.
  • Terminology and Separable Equations. 
  • Linear Equations. 
  • Exact Equations. 
  • Homogeneous. 
  • Bernoulli and Riccsti Equations. 
  • Additional Applications. 
  • Existence and Uniqueness Questions.
2. Linear Second-Order Equations.
  • The Linear Second-Order Equations. 
  • The Constant Coefficient Case. 
  • The Nonhomogeneous Equation. 
  • Spring Motion. 
  • Euler's Differential Equation.
3. The Laplace Transform.
  • Definition and Notation. 
  • Solution of Initial Value Problems. 
  • Shifiting and the Heaviside Function. 
  • Convolution. 
  • Impulses and the Delta Function. 
  • Solution of Systems. 
  • Polynomial Coefficients. 
  • Appendix on Partial Fractions Decompositions.
4. Series Solutions.
  • Power Series Solutions. 
  • Frobenius Solutions.
5. Approximation Of Solutions.
  • Direction Fields. 
  • Euler's Method. 
  • Taylor and Modified Euler Methods.
PART II
6. Vectors And Vector Spaces.
  • Vectors in the Plane and 3 – Space. 
  • The Dot Product. 
  • The Cross Product. 
  • The Vector Space Rn. Orthogonalization. 
  • Orthogonal Complements and Projections. 
  • The Function Space C[a,b].
7. Matrices And Linear Systems.
  • Matrices. 
  • Elementary Row Operations. 
  • Reduced Row Echelon Form. 
  • Row and Column Spaces. 
  • Homogeneous Systems. 
  • Nonhomogeneous Systems. 
  • Matrix Inverses. 
  • Least Squares Vectors and Data Fitting. 
  • LU – Factorization. 
  • Linear Transformations.
8. Determinants.
  • Definition of the Determinant. 
  • Evaluation of Determinants I. 
  • Evaluation of Determinants II. 
  • A Determinant Formula for A-1. 
  • Cramer's Rule.
  • The Matrix Tree Theorem.
9. Eigenvalues, Diagonalization And Special Matrices.
  • Eigenvalues and Eigenvectors. 
  • Diagonalization. 
  • Some Special Types of Matrices.
10. Systems Of Linear Differential Equations.
  • Linear Systems. 
  • Solution of X'=AX for Constant A. 
  • Solution of X'=AX+G. 
  • Exponential Matrix Solutions. 
  • Applications and Illustrations of Techniques. 
  • Phase Portaits.
PART III
11. Vector Differential Calculus.
  • Vector Functions of One Variable. 
  • Velocity and Curvature. 
  • Vector Fields and Streamlines. 
  • The Gradient Field. 
  • Divergence and Curl.
12. Vector Integral Calculus.
  • Line Integrals. 
  • Green's Theorem. 
  • An Extension of Green's Theorem. 
  • Independence of Path and Potential Theory. 
  • Surface Integrals. 
  • Applications of Surface Integrals. 
  • Lifting Green's Theorem to R3. 
  • The Divergence Theorem of Gauss. 
  • Stokes's Theorem. 
  • Curvilinear Coordinates.
PART IV
13. Fourier Series.
  • Why Fourier Series? 
  • The Fourier Series of a Function. 
  • Sine and Cosine Series. 
  • Integration and Differentiation of Fourier Series. 
  • Phase Angle Form. 
  • Complex Fourier Series. 
  • Filtering of Signals.
14. The Fourier Integral And Transforms.
  • The Fourier Integral. 
  • Fourier Cosine and Sine Integrals. 
  • The Fourier Transform. 
  • Fourier Cosine and Sine Transforms. 
  • The Discrete Fourier Transform. 
  • Sampled Fourier Series. 
  • DFT Approximation of the Fourier Transform.
15. Special Functions And Eigenfunction Expansions.
  • Eigenfunction Expansions.
  • Legendre Polynomials. 
  • Bessel Functions.
PART V
16. The Wave Equation.
  • Derivation of the Wave Equation. 
  • Wave Motion on an Interval. 
  • Wave Motion in an Infinite Medium. 
  • Wave Motion in a Semi-Infinite Medium. 
  • Laplace Transform Techniques. 
  • Characteristics and d'Alembert's Solution. 
  • Vibrations in a Circular Membrane I. 
  • Vibrations in a Circular Membrane II. 
  • Vibrations in a Rectangular Membrane.
17. The Heat Equation.
  • Initial and Boundary Conditions. 
  • The Heat Equation on [0, L]. 
  • Solutions in an Infinite Medium. 
  • Laplace Transform Techniques. 
  • Heat Conduction in an Infinite Cylinder. 
  • Heat Conduction in a Rectangular Plate.
18. The Potential Equation.
  • Laplace's Equation. 
  • Dirichlet Problem for a Rectangle. 
  • Dirichlet Problem for a Disk. 
  • Poisson's Integral Formula. 
  • Dirichlet Problem for Unbounded Regions. 
  • A Dirichlet Problem for a Cube. 
  • Steady-State Equation for a Sphere. 
  • The Neumann Problem.
PART VI
19. Complex Numbers And Functions.
  • Geometry And Arithmetic Of Complex Numbers. 
  • Complex Functions. 
  • The Exponential And Trigonometric Functions. 
  • The Complex Logarithm. 
  • Powers.
20. Complex Integration.
  • The Integral Of A Complex Function. 
  • Cauchy'S Theorem. 
  • Consequences Of Cauchy'S Theorem.
21. Series Representations Of Functions.
  • Power Series. 
  • The Laurent Expansion.
22. Singularities And The Residue Theorem.
  • Singularities. 
  • The Residue Theorem.
  • Evaluation Of Real Integrals. 
  • Residues And The Inverse Laplace Transform.
23. Conformal Mappings And Applications.
  • Conformal Mappings. 
  • Construction Of Conformal Mappings. 
  • Conformal Mappings And Solutions Of Dirichlet Problems. 
  • Models Of Plane Fluid Flow.
Appendix: A Maple Primer.
Answers To Selected Problems.
Online Content:
Additional Chapter: Counting And Probability
Additional Chapter: Statistics


Through previous editions, Peter O'Neil has made rigorous engineering mathematics topics accessible to thousands of students by emphasizing visuals, numerous examples, and interesting mathematical models. Now, Advanced Engineering Mathematics 7th Edition features revised examples and problems as well as newly added content that has been fine-tuned throughout to improve the clear flow of ideas. The computer plays a more prominent role than ever in generating computer graphics used to display concepts and problem sets. In this new edition, computational assistance in the form of a self contained Maple Primer has been included to encourage students to make use of such computational tools. The content has been reorganized into six parts and covers a wide spectrum of topics including Ordinary Differential Equations, Vectors and Linear Algebra, Systems of Differential Equations and Qualitative Methods, Vector Analysis, Fourier Analysis, Orthogonal Expansions, and Wavelets, and much more.


Key Features
  • The book is divided into 6 parts for ease of use.
  • Includes a "Guide to Notation" in the front inside cover showing the symbols and notation used throughout the text paired with the section in which it is defined or used.
  • Presents the correct development of concepts such as Fourier series and integrals, conformal mappings, and special functions, at the beginning of the text followed by applications and models of important phenomena, such as wave and heat propagation and filtering of signals.
  • Includes numerous fully solved example problems as well as review problems following each section of the text.

New to this edition
  • New Maple Primer - An Appendix on the use of Maple for computations encountered throughout the book (real and complex calculus operations, graphs, matrix and vector operations, calculations with special functions, etc).
  • Expanded treatment of the construction and solution of mathematical models of important phenomena, such as mechanical systems, electrical circuits, planetary motion, and oscillation and diffusion processes.
  • Amplified discussion of properties and applications of Legendre polynomials and Bessel functions, including a model for alternating current flow and a solution of Kepler's problem.
  • New and revised content including: An application of Laplace transform convolution to a replacement scheduling problem; Solution of Bessel's equation using the Laplace transform; Gram-Schmidt orthogonalization and production and production of orthogonal bases; Orthogonal projection of a vector onto a given subspace; The function space C[a;b]; Least squares and data fitting; Linear transformations and their matrix representations.
  • Additional new material including: Application of vector integral theorems to the development of Maxwell's equations; Orthogonal curvilinear coordinates and vector operations in these coordinates; Use of the Laplace transform to solve partial differential equations involving wave and diffusion phenomena; A complex integral formula for the inverse Laplace transform of a function; LU factorization of matrices into products of lower and upper triangular matrices with an application to the efficient solution of systems of linear equations; Heaviside's formula for the computation of the inverse Laplace transform of a function.

About the Authors
  • Peter V. O'Neil. Served on the faculty at the University of Minnesota, The College of William and Mary in Virginia, where he was chairman of mathematics, and the University of Alabama at Birmingham, where he was chairman of mathematics, dean of natural sciences and mathematics, and university provost. Primary research interests are in graph theory, combinatorial analysis and applications of mathematics to problems in the physical and biological sciences and engineering.

Book Details

  • Hardcover: 912 pages
  • Publisher: CL-Engineering; 7 edition (2012)
  • Language: English
  • ISBN-10: 1111427410
  • ISBN-13: 978-1111427412
  • Product Dimensions: 10.1 x 8.1 x 1.4 inches
List Price: $214.95 

ONeil: Elements of Advanced Engineering Mathematics

Part I: ORDINARY DIFFERENTIAL EQUATIONS
  • 1. First-Order Differential Equations
    • Terminology and Separable Equations. 
    • Linear Equations. 
    • Exact Equations. 
    • Additional Applications. 
    • Existence and Uniqueness Questions. 
    • Direction Fields. 
    • Numerical Approximation of Solutions.
  • 2. Linear Second-Order Equations
    • Theory of the Linear Second-Order Equation. 
    • The Constant Coefficient Homogeneous Equation. 
    • Solutions of the Nonhomogeneous Equation. 
    • Spring Motion.
  • 3. The Laplace Transform
    • Definition and Notation. 
    • Solution of Initial Value Problems. 
    • Shifting and the Heaviside Function. 
    • Convolution. 
    • Impulses and the Dirac Delta Function. 
    • Appendix on Partial Fractions Decompositions.
  • 4. Series Solutions
    • Power Series Solutions. 
    • Frobenius Solutions.
Part II: VECTORS, LINEAR ALGEBRA, AND SYSTEMS OF LINEAR DIFFERENTIAL EQUATIONS.
  • 5. Algebra and Geometry of Vectors
    • Vectors in the Plane and 3-Space.
    • The Dot Product. 
    • The Cross Product. 
    • The Vector Space Rn.
  • 6. Matrices and Systems of Linear Equations
    • Matrices. 
    • Linear Homogeneous Systems. 
    • Nonhomogeneous Systems of Linear Equations. 
    • Matrix Inverses.
  • 7. Determinants
    • Definition of the Determinant. 
    • Evaluation of Determinants I. 
    • Evaluation of Determinants II. 
    • A Determinant Formula for A−1. 
    • Cramer’s Rule.
  • 8. Eigenvalues and Diagonalization
    • Eigenvalues and Eigenvectors. 
    • Diagonalization. Some Special Matrices.
  • 9. Systems of Linear Differential Equations
    • Systems of Linear Differential Equations. 
    • Solution of X_ = AX when A Is Constant. 
    • Solution of X_ = AX + G.
Part III: VECTOR ANALYSIS
  • 10. Vector Differential Calculus
    • Vector Functions of One Variable. 
    • Velocity and Curvature. 
    • Vector Fields and Streamlines. 
    • The Gradient Field. 
    • Divergence and Curl.
  • 11. Vector Integral Calculus
    • Line Integrals. 
    • Green’s Theorem. 
    • An Extension of Green’s Theorem. 
    • Potential Theory. 
    • Surface Integrals. 
    • Applications of Surface Integrals. 
    • The Divergence Theorem of Gauss. 
    • Stokes’s Theorem.
Part IV: FOURIER ANALYSIS AND EIGENFUNCTION EXPANSIONS
  • 12. Fourier Series
    • The Fourier Series of a Function. 
    • Sine and Cosine Series. 
    • Derivatives and Integrals of Fourier Series. 
    • Complex Fourier Series.
  • 13. The Fourier Integral and Transforms
    • The Fourier Integral. 
    • Fourier Cosine and Sine Integrals. 
    • The Fourier Transform. 
    • Fourier Cosine and Sine Transforms.
  • 14 Eigenfunction Expansions
    • General Eigenfunction Expansions. 
    • Fourier-Legendre Expansions. 
    • Fourier-Bessel Expansions.
Part V: PARTIAL DIFFERENTIAL EQUATIONS
  • 15. The Wave Equation
    • Derivation of the Equation. 
    • Wave Motion on an Interval. 
    • Wave Motion in an Infinite Medium. 
    • Wave Motion in a Semi-Infinite Medium. 
    • d’Alembert’s Solution. 
    • Vibrations in a Circular Membrane. 
    • Vibrations in a Rectangular Membrane.
  • 16. The Heat Equation
    • Initial and Boundary Conditions. 
    • The Heat Equation on [0, L]. 
    • Solutions in an Infinite Medium. 
    • Heat Conduction in an Infinite Cylinder. 
    • Heat Conduction in a Rectangular Plate.
  • 17. The Potential Equation
    • Laplace’s Equation. 
    • Dirichlet Problem for a Rectangle. 
    • Dirichlet Problem for a Disk. 
    • Poisson’s Integral Formula. 
    • Dirichlet Problem for Unbounded Regions. 
    • A Dirichlet Problem for a Cube. 
    • Steady-State Heat Equation for a Sphere.
Appendix A Guide to Notation.
Appendix B A MAPLE Primer.
Answers to Selected Problems.
Index. 


Elements of Advanced Engineering Mathematics by Peter V. O'Neil is intended to provide students with an efficient introduction and accessibility to ordinary and partial differential equations, linear algebra, vector analysis, Fourier analysis, and special functions and eigenfunction expansions, for their use as tools of inquiry and analysis in modeling and problem solving. It should also serve as preparation for further reading where this suits individual needs and interests.

Although much of this material appears in Advanced Engineering Mathematics 6th edition, Elements of Advanced Engineering Mathematics has been completely rewritten to provide a natural flow of the material in this shorter format. Many types of computations, such as construction of direction fields, or the manipulation Bessel functions and Legendre polynomials in writing eigenfunction expansions, require the use of software packages. A short MAPLE primer is included as Appendix B. This is designed to enable the student to quickly master the use of MAPLE for such computations. Other software packages can also be used.

Key Features
  • This new text incorporates Maple by Maplesoft - a world leader in mathematical and analytical software
  • Rigorous engineering mathematics topics are now made accessible with the emphasis of visuals, numerous examples, and interesting mathematical models
  • Provides students with an efficient introduction to the required math necessary for engineering as well as the tools for inquiry and analysis used in modeling and problem solving.

About the Author
  • Peter V. O'Neil: Served on the faculty at the University of Minnesota, The College of William and Mary in Virginia, where he was chairman of mathematics, and the University of Alabama at Birmingham, where he was chairman of mathematics, dean of natural sciences and mathematics, and university provost. Primary research interests are in graph theory, combinatorial analysis and applications of mathematics to problems in the physical and biological sciences and engineering.

Book Details

  • Hardcover: 496 pages
  • Publisher: CL-Engineering; 1 edition (2010)
  • Language: English
  • ISBN-10: 0495668184
  • ISBN-13: 978-0495668183
  • Product Dimensions: 10 x 8.1 x 1 inches
List Price: $145.95 
 

Chapra: Numerical Methods for Engineers 6th Edition

Instructors love Numerical Methods for Engineers because it makes teaching easy! Students love it because it is written for them--with clear explanations and examples throughout. The text features a broad array of applications that span all engineering disciplines.

The sixth edition retains the successful instructional techniques of earlier editions. Chapra and Canale's unique approach opens each part of the text with sections called Motivation, Mathematical Background, and Orientation. This prepares the student for upcoming problems in a motivating and engaging manner. Each part closes with an Epilogue containing Trade-Offs, Important Relationships and Formulas, and Advanced Methods and Additional References. Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Helpful separate Appendices. "Getting Started with MATLAB" abd "Getting Started with Mathcad" which make excellent references.

Numerous new or revised problems drawn from actual engineering practice, many of which are based on exciting new areas such as bioengineering. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical engineering. Excellent new examples and case studies span asll areas of engineering disciplines; the students using this text will be able to apply their new skills to their chosen field.

Users will find use of software packages, specifically MATLAB®, Excel® with VBA and Mathcad®. This includes material on developing MATLAB® m-files and VBA macros.

Table of contents
Part 1 Modeling, Computers, and Error Analysis 
  • 1 Mathematical Modeling and Engineering Problem Solving2 Programming and Software3 Approximations and Round-Off Errors4 Truncation Errors and the Taylor SeriesPart 2 Roots of Equations 
  • 5 Bracketing Methods 
  • 6 Open Methods 
  • 7 Roots of Polynomials 
  • 8 Case Studies: Roots of Equations 
Part 3 Linear Algebraic Equations 
  • 9 Gauss Elimination 
  • 10 LU Decomposition and Matrix Inversion 
  • 11 Special Matrices and Gauss-Seidel 
  • 12 Case Studies: Linear Algebraic Equations 
Part 4 Optimization 
  • 13 One-Dimensional Unconstrained Optimization 
  • 14 Multidimensional Unconstrained Optimization 
  • 15 Constrained Optimization 
  • 16 Case Studies: Optimization 
Part 5 Curve Fitting 
  • 17 Least-Squares Regression 
  • 18 Interpolation 
  • 19 Fourier Approximation 
  • 20 Case Studies: Curve Fitting 
Part 6 Numerical Differentiation and Integration 
  • 21 Newton-Cotes Integration Formulas 
  • 22 Integration of Equations 
  • 23 Numerical Differentiation 
  • 24 Case Studies: Numerical Integration and Differentiation 
Part 7 Ordinary Differential Equations 
  • 25 Runge-Kutta Methods 
  • 26 Stiffness and Multistep Methods 
  • 27 Boundary-Value and Eigenvalue Problems 
  • 28 Case Studies: Ordinary Differential Equations 
Part 8 Partial Differential Equations 
  • 29 Finite Difference: Elliptic Equations 
  • 30 Finite Difference: Parabolic Equations
  • 31 Finite-Element Method 
  • 32 Case Studies: Partial Differential Equations 
Appendix A The Fourier Series
Appendix B Getting Started with Matlab
Bibliography
Index

About the Author
  • Steven C. Chapra (Medford, MA) is Professor of Civil and Environmental Engineering, Tufts University.

Book Details

  • Hardcover: 960 pages
  • Publisher: McGraw-Hill Science/Engineering/Math; 6 edition (April 20, 2009)
  • Language: English
  • ISBN-10: 0073401064
  • ISBN-13: 978-0073401065
  • Product Dimensions: 9.2 x 8.4 x 1.6 inches
List Price: $146.28 
 

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