Introduction To MATLAB For Engineers(3rd Edition)
Authors:
William Palm III
In Stock: 2 Left
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Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$0
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 0073534870, 978-0073534879
Book publisher: McGraw-Hill Education
Book Price $0 : William Palm III's 'Introduction to MATLAB for Engineers' in its 3rd edition is an essential resource for engineering students and professionals keen on mastering MATLAB's powerful functionalities. The book provides a thorough understanding of MATLAB, starting from the basics and escalating to more complex applications like signal processing, data visualization, and discrete mathematics. Structured around practical engineering problems, this textbook is meticulously detailed, making it instrumental for those looking to enhance their programming proficiency in MATLAB. One of the standout features of this edition is the inclusion of a solution manual which facilitates an understanding of complex problem-solving techniques by providing step-by-step guides to exercises found throughout the book. The comprehensive table of contents reflects an organized approach, guiding students through various MATLAB commands and applications efficiently. Each chapter ends with an answer key to the exercises, encouraging self-assessment and learning. From introductory topics such as MATLAB environment and basic operations, the book progresses into advanced subjects like symbolic mathematics, differential equations, and linear algebra, serving as a bridge between theoretical concepts and practical implementation. The book is particularly significant in the academic realm as it aligns closely with courses oriented toward computational mathematics and software engineering, making it a go-to reference for both educational instructors and learners alike. Its practical approach has been well-received, favored for its clarity, depth, and abundance of practice problems tailored for engineering contexts. LSI Context: Learning MATLAB through this resource equips students with skills in algorithm development, numerical analysis, data analysis, and modeling—key components in disciplines such as mechanical engineering, electrical engineering, and computer science, enhancing their analytical and technical capabilities. In addition to being cheap, this work maintains exceptional standards expected in academia.
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May 25, 2022