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Introduction to MATLAB with Numerical Preliminaries
 
 
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Introduction to MATLAB with Numerical Preliminaries [Paperback]

Alexander Stanoyevitch (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0471697370 978-0471697374 December 13, 2004 1
Harness the power of MATLAB to analyze complex problems with matrices

Introduction to MATLAB® with Numerical Preliminaries provides thorough training for using MATLAB software with an emphasis on scientific computing. Readers learn how to apply their knowledge to a variety of fields, including linear algebra, probability, finance, ecology, and discrete mathematics. The text carefully balances its coverage among four pedagogical components: analytic concepts, geometric concepts, programs and algorithms, and applications. Detailed problem sets build the reader's understanding and competence in each of these areas.

All the tools needed to master and exploit all the powerful features of MATLAB are provided:

  • "Exercises for the Reader," used throughout the text, that test readers' understanding of key concepts, helping them to move on to more advanced topics and applications (complete solutions are given in an appendix)
  • Illustrative examples, provided throughout the text, that demonstrate MATLAB's ability to analyze an assortment of datasets
  • Extensive coverage of MATLAB's graphical capabilities, enabling readers to express solutions to problems using high-quality graphics
  • Explanations that are rigorous, yet written in a very accessible, user-friendly style
  • Extensive problem sets, provided at the end of each section, that enable readers to apply their knowledge

As one of the most popular mathematical software packages used in a wide range of fields including biology, physics, engineering, business, and finance, this is essential knowledge for anyone who may need to analyze data. Moreover, the author proves how easy MATLAB is to learn, including mastering its tremendous graphical capabilities. All that is needed is a basic understanding of single variable calculus. This is an excellent text for any course in MATLAB or scientific computing. Additionally, it serves as a supplementary text for any mathematics or science course that makes use of MATLAB.


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Introduction to MATLAB with Numerical Preliminaries + Schaum's Outline of Linear Algebra Fourth Edition (Schaum's Outline Series)


Editorial Reviews

Review

"…this is a very good book, and the author's obvious enthusiasm for mathematics and computation makes it a pleasure to read." (Journal of Statistical Software, August 2005)

"…[the author's] style and presentation of material are likeable. There is good coverage of the subject…" (CHOICE, May 2005)

From the Back Cover

Harness the power of MATLAB to analyze complex problems with matrices

Introduction to MATLAB® with Numerical Preliminaries provides thorough training for using MATLAB software with an emphasis on scientific computing. Readers learn how to apply their knowledge to a variety of fields, including linear algebra, probability, finance, ecology, and discrete mathematics. The text carefully balances its coverage among four pedagogical components: analytic concepts, geometric concepts, programs and algorithms, and applications. Detailed problem sets build the reader's understanding and competence in each of these areas.

All the tools needed to master and exploit all the powerful features of MATLAB are provided:

  • "Exercises for the Reader," used throughout the text, that test readers' understanding of key concepts, helping them to move on to more advanced topics and applications (complete solutions are given in an appendix)
  • Illustrative examples, provided throughout the text, that demonstrate MATLAB's ability to analyze an assortment of datasets
  • Extensive coverage of MATLAB's graphical capabilities, enabling readers to express solutions to problems using high-quality graphics
  • Explanations that are rigorous, yet written in a very accessible, user-friendly style
  • Extensive problem sets, provided at the end of each section, that enable readers to apply their knowledge

As one of the most popular mathematical software packages used in a wide range of fields including biology, physics, engineering, business, and finance, this is essential knowledge for anyone who may need to analyze data. Moreover, the author proves how easy MATLAB is to learn, including mastering its tremendous graphical capabilities. All that is needed is a basic understanding of single variable calculus. This is an excellent text for any course in MATLAB or scientific computing. Additionally, it serves as a supplementary text for any mathematics or science course that makes use of MATLAB.


Product Details

  • Paperback: 344 pages
  • Publisher: Wiley-Interscience; 1 edition (December 13, 2004)
  • Language: English
  • ISBN-10: 0471697370
  • ISBN-13: 978-0471697374
  • Product Dimensions: 8.9 x 5.9 x 0.7 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,238,586 in Books (See Top 100 in Books)

More About the Author

Alexander Stanoyevitch is a professor at California State University-Dominguez Hills. He completed his doctorate in mathematical analysis at the University of Michigan, Ann Arbor, and has held academic positions at the University of Hawaii and the University of Guam. Dr. Stanoyevitch has taught many upper-level classes to mathematics and computer science students, has published several articles in leading mathematical journals, and has been an invited speaker at numerous lectures and conferences in the United States, Europe, and Asia. His research interests include areas of both pure and applied mathematics.

 

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5.0 out of 5 stars Great Buy, January 23, 2009
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This book was in excellent condition; practically new. I am so glad that I decided to purchase this book here rather than at my book store for almost three times as much. Thanx.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
fractal geometry, chopped floating point arithmetic, submain diagonal, rounded floating point arithmetic, chopped arithmetic, next exercise for the reader, back substitution algorithm, function definition line, rounded arithmetic, unit roundoff, mother loop, format rat, symbolic toolbox, flop counts, floating point number system, optimal relaxation parameter, cat with eyes, vertex matrix, reduced row echelon form, smallest real number, passes through the data points, cofactor expansion, use the bisection method, zeroth generation, left divide
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Basic Concepts of Numerical Analysis, Number Theory, Use Newton, Redo Exercise, Use Taylor, Solving General Linear Systems, The Collatz Problem, Use Theorems, United States, The Basics, San Francisco, The von Koch, Logical Control Flow
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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