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Matlab : A Practical Introduction to Programming and Problem Solving by Dorothy C. Attaway (2022, Trade Paperback)
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Über dieses Produkt
Product Identifiers
PublisherElsevier Science & Technology
ISBN-10032391750X
ISBN-139780323917506
eBay Product ID (ePID)4057242610
Product Key Features
Number of Pages640 Pages
Publication NameMatlab : a Practical Introduction to Programming and Problem Solving
LanguageEnglish
SubjectProgramming Languages / General, General, Applied
Publication Year2022
TypeTextbook
AuthorDorothy C. Attaway
Subject AreaMathematics, Computers, Technology & Engineering
FormatTrade Paperback
Dimensions
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Edition Number6
Intended AudienceCollege Audience
LCCN2022-417847
Dewey Edition22
IllustratedYes
Dewey Decimal518.028553
Table Of ContentPart 1 Introduction to Programming Using MATLAB 1. Introduction to MATLAB 2. Vectors and Matrices 3. Introduction to MATLAB Programming 4. Selection Statements 5. Loop Statements and Vectorizing Code 6. MATLAB Programs 7. Text Manipulation 8. Data Structures Part 2 Advanced Topics for Problem Solving with MATLAB 9. Data Transfer 10. Advanced Functions 11. Introduction to Object-Oriented Programming and Graphics 12. Advanced Plotting Techniques 13. Sights and Sounds 14. Advanced Mathematics 15. Introduction to Machine Learning
SynopsisMATLAB: A Practical Introduction to Programming and Problem Solving , winner of TAA's 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The sixth edition has been updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the Machine Learning Toolbox, and new sections on data formats and data scrubbing.
LC Classification NumberQA297.A87 2022
