Introduction to MATLAB with Numerical Preliminaries

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.

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.

ALEXANDER STANOYEVITCH, PHD, is a professor of mathematics and has served as department chairman at the University of Guam. He completed his graduate work in mathematical analysis at the University of Michigan–Ann Arbor. He has published several articles in leading mathematical journals and has been an invited speaker at numerous lectures and conferences. Dr. Stanoyevitch makes extensive use of MATLAB in most of the classes that he teaches.