Still brief - but with the chapters that you wanted - Steven Chapra’s new second edition is written for engineering and science students who need to learn numerical problem solving. This text focuses on problem-solving applications rather than theory, using MATLAB throughout. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The new second edition feature new chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs).
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About the Author
Steven C. Chapra (Medford, MA) is Professor of Civil and Environmental Engineering, Tufts University.
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3 of 3 people found the following review helpful:
3.0 out of 5 stars
Over priced,
This review is from: Applied Numerical Methods with MATLAB for Engineers and Scientists (Hardcover)
This book is okay as a reference book to help you learn Matlab beyond just the basic
language features. However, you will need another book as the main text to learn numerical methods. Be warned that each chapter touches the subject in a very superficial way. The book also feels quite thin at your hand. For $127, this is outrageously over priced. $30-35? Maybe. I teach numerical methods in a college. I will never recommend this book to my students because I do not want them to get ripped off.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
had to learn MatLab,
By JoeBoone (TN USA) - See all my reviews
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This review is from: Applied Numerical Methods with MATLAB for Engineers and Scientists (Hardcover)
I have to learn MATLAB for a current course. Good book with example problems. The assignment problems at the end of the chapters can be pretty difficult though. I would have liked to see the book come with a student version of MatLab. Nobody I know has MatLab for their personal use, and I have to go to the university every time to use it....
1.0 out of 5 stars
Not the best book out there!,
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This review is from: Applied Numerical Methods with MATLAB for Engineers and Scientists (Hardcover)
This book will not teach you MATLAB. It is probably not intended for the person with little programming experience, but it still doesn't completely explain MATLAB functions or commands in great detail. You get a brief and simple example for the different types of files and commands. MATLAB can be much more complex. The tutorials with MATLAB will serve you more justice. This book was a waste of money in terms of learning the software from a book. You might as well just buy MATLAB and learn from the turorials and by trial and error.
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Inside This Book
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First Sentence:
Suppose that a bungee-jumping company hires you. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
true percent relative error, modified secant method, jumper problem, finite divided differences, subtractive cancellation, composite trapezoidal rule, percent relative errors, numeric grade, midpoint method, bracketing methods, second jumper, bungee jumper, centered difference approximation, simultaneous linear algebraic equations, root estimate, local truncation error, quadratic splines, approximate error, cubic spline fit, inverse interpolation, incremental search, integral estimates, interpolating polynomial, multistep methods, pivot element Key Phrases - Capitalized Phrases (CAPs): (learn more)
Problem Statement, Repeat Prob, Comparison of Runge, Design the M-file, Repeat Example, Use the Gauss-Seidel, Use Gauss, Visual Basic New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Suppose that a bungee-jumping company hires you. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
true percent relative error, modified secant method, jumper problem, finite divided differences, subtractive cancellation, composite trapezoidal rule, percent relative errors, numeric grade, midpoint method, bracketing methods, second jumper, bungee jumper, centered difference approximation, simultaneous linear algebraic equations, root estimate, local truncation error, quadratic splines, approximate error, cubic spline fit, inverse interpolation, incremental search, integral estimates, interpolating polynomial, multistep methods, pivot element Key Phrases - Capitalized Phrases (CAPs): (learn more)
Problem Statement, Repeat Prob, Comparison of Runge, Design the M-file, Repeat Example, Use the Gauss-Seidel, Use Gauss, Visual Basic New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 13
books:
See all 13 books this book cites
- Numerical Methods for Engineers: With Software and Programming Applications by Steven C. Chapra in Front Matter, and Back Matter
- Applied Regression Analysis (Wiley Series in Probability and Statistics) by Norman R. Draper in Back Matter
- Applied Numerical Analysis (7th Edition) by Curtis F. Gerald in Back Matter
- Linear Algebra (Undergraduate Texts in Mathematics) by Larry Smith in Back Matter
- Fluid Mechanics with Student Resources CD-ROM by Frank M. White in Back Matter
See all 13 books this book cites
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