Learning to Program with MATLAB PDF Download
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Author: Craig S. Lent
Publisher:
ISBN: 9781118548851
Category : Computer programming
Languages : en
Pages : 308
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Book Description
"Author Craig Lent's 1st edition of Learning to Program with MATLAB: Building GUI Tools teaches the core concepts of computer programming, such as arrays, loops, function, basic data structures, etc., using MATLAB. The text has a focus on the fundamentals of programming and builds up to an emphasis on GUI tools, covering text-based programs first, then programs that produce graphics. This creates a visual expression of the underlying mathematics of a problem or design. Brief and to-the-point, the text includes material that can be converted with supplementary reference material designed to entice users to retain their copy"--
Author: Craig S. Lent
Publisher:
ISBN: 9781118548851
Category : Computer programming
Languages : en
Pages : 308
Get Book Here
Book Description
"Author Craig Lent's 1st edition of Learning to Program with MATLAB: Building GUI Tools teaches the core concepts of computer programming, such as arrays, loops, function, basic data structures, etc., using MATLAB. The text has a focus on the fundamentals of programming and builds up to an emphasis on GUI tools, covering text-based programs first, then programs that produce graphics. This creates a visual expression of the underlying mathematics of a problem or design. Brief and to-the-point, the text includes material that can be converted with supplementary reference material designed to entice users to retain their copy"--
Author: Tobin A. Driscoll
Publisher: SIAM
ISBN: 0898716837
Category : Mathematics
Languages : en
Pages : 104
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Book Description
A handbook for MATLAB which gives a focused approach to the software for students and professional researchers.
Author: Dorothy C. Attaway
Publisher: Butterworth-Heinemann
ISBN: 0124058930
Category : Computers
Languages : en
Pages : 561
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Book Description
MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software's powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on concepts throughout the text, facilitating easier learning. Sections on common pitfalls and programming guidelines direct students towards best practice. The book is organized into 14 chapters, starting with programming concepts such as variables, assignments, input/output, and selection statements; moves onto loops; and then solves problems using both the 'programming concept' and the 'power of MATLAB' side-by-side. In-depth coverage is given to input/output, a topic that is fundamental to many engineering applications. Vectorized Code has been made into its own chapter, in order to emphasize the importance of using MATLAB efficiently. There are also expanded examples on low-level file input functions, Graphical User Interfaces, and use of MATLAB Version R2012b; modified and new end-of-chapter exercises; improved labeling of plots; and improved standards for variable names and documentation. This book will be a valuable resource for engineers learning to program and model in MATLAB, as well as for undergraduates in engineering and science taking a course that uses (or recommends) MATLAB. - Presents programming concepts and MATLAB built-in functions side-by-side - Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning - Sections on common pitfalls and programming guidelines direct students towards best practice
Author: Khalid Sayood
Publisher: Springer Nature
ISBN: 3031020170
Category : Technology & Engineering
Languages : en
Pages : 81
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Book Description
This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr® constructs in the process. MATLABr® is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr® is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help users become comfortable with the language.
Author: Giuseppe Ciaburro
Publisher: Packt Publishing Ltd
ISBN: 1788399390
Category : Computers
Languages : en
Pages : 374
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Book Description
Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.
Author: Walter Gander
Publisher: Springer
ISBN: 3319253271
Category : Computers
Languages : en
Pages : 155
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Book Description
This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014. Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions.
Author: Richard K. Johnson
Publisher: Cambridge University Press
ISBN: 1139496409
Category : Computers
Languages : en
Pages : 181
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Book Description
The Elements of MATLAB Style is a guide for both new and experienced MATLAB programmers. It provides a comprehensive collection of standards and guidelines for creating solid MATLAB code that will be easy to understand, enhance, and maintain. It is written for both individuals and those working in teams in which consistency is critical. This is the only book devoted to MATLAB style and best programming practices, focusing on how MATLAB code can be written in order to maximize its effectiveness. Just as Strunk and White's The Elements of Style provides rules for writing in the English language, this book provides conventions for formatting, naming, documentation, programming and testing. It includes many concise examples of correct and incorrect usage, as well as coverage of the latest language features. The author also provides recommendations on use of the integrated development environment features that help produce better, more consistent software.
Author: Marc E. Herniter
Publisher: Cengage Learning
ISBN:
Category : Computers
Languages : en
Pages : 516
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Book Description
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.
Author: Andrew P. King
Publisher: Academic Press
ISBN: 0323984576
Category : Technology & Engineering
Languages : en
Pages : 466
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Book Description
MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB. The book enables the reader to analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs, implement a structured program design in MATLAB, write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types, and much more. - Presents many real-world biomedical problems and data, showing the practical application of programming concepts - Contains two whole chapters dedicated to the practicalities of designing and implementing more complex programs - Provides an accompanying website with freely available data and source code for the practical code examples, activities and exercises in the book - Includes new chapters on machine learning, engineering mathematics, and expanded coverage of data types
Author: Aaron R. Bradley
Publisher: Springer Science & Business Media
ISBN: 3642233031
Category : Computers
Languages : en
Pages : 245
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Book Description
To learn to program is to be initiated into an entirely new way of thinking about engineering, mathematics, and the world in general. Computation is integral to all modern engineering disciplines, so the better you are at programming, the better you will be in your chosen field. The author departs radically from the typical presentation by teaching concepts and techniques in a rigorous manner rather than listing how to use libraries and functions. He presents pointers in the very first chapter as part of the development of a computational model that facilitates an ab initio presentation of subjects such as function calls, call-by-reference, arrays, the stack, and the heap. The model also allows students to practice the essential skill of memory manipulation throughout the entire course rather than just at the end. As a result, this textbook goes further than is typical for a one-semester course -- abstract data types and linked lists, for example, are covered in depth. The computational model will also serve students in their adventures with programming beyond the course: instead of falling back on rules, they can think through the model to decide how a new programming concept fits with what they already know. The book is appropriate for undergraduate students of engineering and computer science, and graduate students of other disciplines. It contains many exercises integrated into the main text, and the author has made the source code available online.
