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Programming Mathematics Using MATLAB

Author: Lisa A. Oberbroeckling

Publisher: Academic Press

Published: 2020-05-09

Total Pages: 294

ISBN-13: 0128178000

Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLAB® projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB® programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process. Programming Mathematics Using MATLAB® is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLAB® specifically and those focused on mathematical concepts which seek to utilize MATLAB® in the classroom. Provides useful visual examples throughout for student comprehension Includes valuable, class-tested projects to reinforce both familiarity with MATLAB® and a deeper understanding of mathematical principles Offers downloadable MATLAB® scripts to supplement practice and provide useful example

Programming Mathematics Using MATLAB

Author: Lisa A. Oberbroeckling

Publisher: Academic Press

Published: 2020-05-27

Total Pages: 0

ISBN-13: 9780128177990

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Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLAB® projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB® programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram-Schmidt process. Programming Mathematics Using MATLAB® is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLAB® specifically and those focused on mathematical concepts which seek to utilize MATLAB® in the classroom.

An Introduction to Programming and Numerical Methods in MATLAB

Author: Steve Otto

Publisher: Springer Science & Business Media

Published: 2005-12-06

Total Pages: 469

ISBN-13: 1846281334

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An elementary first course for students in mathematics and engineering Practical in approach: examples of code are provided for students to debug, and tasks – with full solutions – are provided at the end of each chapter Includes a glossary of useful terms, with each term supported by an example of the syntaxes commonly encountered

Exercises in Computational Mathematics with MATLAB

Author: Tom Lyche

Publisher: Springer

Published: 2014-09-02

Total Pages: 377

ISBN-13: 366243511X

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Designed to provide tools for independent study, this book contains student-tested mathematical exercises joined with MATLAB programming exercises. Most chapters open with a review followed by theoretical and programming exercises, with detailed solutions provided for all problems including programs. Many of the MATLAB exercises are presented as Russian dolls: each question improves and completes the previous program and results are provided to validate the intermediate programs. The book offers useful MATLAB commands, advice on tables, vectors, matrices and basic commands for plotting. It contains material on eigenvalues and eigenvectors and important norms of vectors and matrices including perturbation theory; iterative methods for solving nonlinear and linear equations; polynomial and piecewise polynomial interpolation; Bézier curves; approximations of functions and integrals and more. The last two chapters considers ordinary differential equations including two point boundary value problems, and deal with finite difference methods for some partial differential equations. The format is designed to assist students working alone, with concise Review paragraphs, Math Hint footnotes on the mathematical aspects of a problem and MATLAB Hint footnotes with tips on programming.

Scientific Computing with MATLAB

Author: Dingyu Xue

Publisher: CRC Press

Published: 2016-02-17

Total Pages: 586

ISBN-13: 1498757782

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Scientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter. The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.

MATLAB Programming

Author: Dingyü Xue

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2020-03-23

Total Pages: 318

ISBN-13: 3110666952

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This book presents fundamentals in MATLAB programming, including data and statement structures, control structures, function writing and bugging in MATLAB programming, followed by the presentations of algebraic computation, transcendental function evaluations and data processing. Advanced topics such as MATLAB interfacing, object-oriented programming and graphical user interface design are also addressed.

Linear Programming with MATLAB

Author: Michael C. Ferris

Publisher: SIAM

Published: 2007-01-01

Total Pages: 270

ISBN-13: 0898716438

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A self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required.

Programming in MATLAB

Author: Marc E. Herniter

Publisher: Cengage Learning

Published: 2001

Total Pages: 516

ISBN-13:

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Perfect for use in a lab or by individuals, PROGRAMMING IN MATLAB is designed to help anyone interested in electrical and computer engineering develop programming skills using MATLAB as the programming language. The text is also applicable for those interested in utilizing MATLAB in industry. MATLAB is quickly surpassing C, BASIC, and Fortran in engineering departments as the programming language of choice (due to the many functions and toolboxes the program features). It allows the many students who use it to write complex programs to solve a variety of technical problems efficiently. Herniter offers a straightforward approach to learning the program, and assumes no prior exposure to MATLAB. The book offers comprehensive instructions for programming in MATLAB, including specific output results and numerous MATLAB screen captures. Its use is ideal in a lab/lecture setting where readers can recreate examples and complete problem assignments. However, the text organization is also appropriate for use as a general reference guide for programming MATLAB. Herniter introduces fundamental programming skills, then moves into solving basic problems using built-in MATLAB functions, and finally into solving engineering problems using MATLAB.

Applied Optimization with MATLAB Programming

Author: P. Venkataraman

Publisher: John Wiley & Sons

Published: 2009-03-23

Total Pages: 546

ISBN-13: 047008488X

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Technology/Engineering/Mechanical Provides all the tools needed to begin solving optimization problems using MATLAB® The Second Edition of Applied Optimization with MATLAB® Programming enables readers to harness all the features of MATLAB® to solve optimization problems using a variety of linear and nonlinear design optimization techniques. By breaking down complex mathematical concepts into simple ideas and offering plenty of easy-to-follow examples, this text is an ideal introduction to the field. Examples come from all engineering disciplines as well as science, economics, operations research, and mathematics, helping readers understand how to apply optimization techniques to solve actual problems. This Second Edition has been thoroughly revised, incorporating current optimization techniques as well as the improved MATLAB® tools. Two important new features of the text are: Introduction to the scan and zoom method, providing a simple, effective technique that works for unconstrained, constrained, and global optimization problems New chapter, Hybrid Mathematics: An Application, using examples to illustrate how optimization can develop analytical or explicit solutions to differential systems and data-fitting problems Each chapter ends with a set of problems that give readers an opportunity to put their new skills into practice. Almost all of the numerical techniques covered in the text are supported by MATLAB® code, which readers can download on the text's companion Web site www.wiley.com/go/venkat2e and use to begin solving problems on their own. This text is recommended for upper-level undergraduate and graduate students in all areas of engineering as well as other disciplines that use optimization techniques to solve design problems.

Numerical Computing with MATLAB

Author: Cleve B. Moler

Publisher: SIAM

Published: 2010-08-12

Total Pages: 340

ISBN-13: 0898716608

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A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.