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.

Emphasising problem-solving throughout, this title introduces the MATLAB language and shows how to use it to solve typical technical problems. It demonstrates how to write clean, efficient, and well-documented programs and how to locate any desired function with MATLAB's online help facilities.

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.

Learn how to use MATLAB commands and functions in an efficient and effective manner Key Features a- Get familiar and work with the in-built functions in MATLAB a- Learn how to solve algebraic equations in MATLAB a- Explore various techniques for plotting numerical data a- Learn how to preprocess data to ensure accurate, efficient, and meaningful analysis a- Learn how to issue commands to create variables and call functions Description MATLAB has been an essential platform for data computation. There are various types of technologies that are going on, but it requires a tool for data handling. MATLAB provides better computing power for a massive amount of data. This book will be your comprehensive guide to creating applications, simulation, computation measures. The book begins with an introduction MATLAB and quickly goes on to teach you the usage of MATLAB. After this, we will explore the various commands and essential concepts and topics about MATLAB. Moving forward, we'll explore importing and exporting data, handling data, and visualization of data through different ways to plot a graph. Towards the end, we will explore the basic algebraic functions used in MATLAB. What will you learn a- Learn how to build and run MATLAB statements a- Execute a block of code repeatedly using the Loop Control Statements a- Create a user-defined function by using MATLAB a- Create, Concatenate, and Expand the most basic MATLAB data structure; Matrix a- Understand how to plot a 2D and 3D graph Who this book is for This book is for everyone from the Engineering and Sciences background. It is also for PGDCA, B.Tech. B.E., BCA, BSc, M.Tech. /M.E., MCA, M.Com., MSc, Ph.D. other UG, and PG degree students. Table of Contents 1. Basics of MATLAB 2. Expressions and Basic Commands of MATLAB 3. Data Types, Variables and Operators 4. Decision Control Statements 5. Loops Control Statements 6. Vectors 7. Matrix 8. Arrays 9. Strings 10. Functions 11. Data Import and Export 12. Plotting a Graph 13. Graphics 14. Basic Algebra in MATLAB About the Authors Dr. Brijesh Bakariya is an Assistant Professor in the Department of CSE, IKGPTU, Jalandhar (Punjab). He has authored 01 book and published more than 15 research papers in the journals of international repute. Dr. Kulwinder Singh Parmar is an Assistant Professor in the Department of Mathematical Sciences, IKGPTU, Jalandhar (Punjab). He has published more than 25 research papers in the journals of international repute.

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

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development. - Provides in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes - Explains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language - Presents case studies illustrating key concepts across multiple fields - Includes source code, sample datasets, and lecture slides

For a variety of reasons, the MATLAB®-Java interface was never fully documented. This is really quite unfortunate: Java is one of the most widely used programming languages, having many times the number of programmers and programming resources as MATLAB. Also unfortunate is the popular claim that while MATLAB is a fine programming platform for prototyping, it is not suitable for real-world, modern-looking applications. Undocumented Secrets of MATLAB®-Java Programming aims to correct this misconception. This book shows how using Java can significantly improve MATLAB program appearance and functionality, and that this can be done easily and even without any prior Java knowledge. Readers are led step-by-step from simple to complex customizations. Code snippets, screenshots, and numerous online references are provided to enable the utilization of this book as both a sequential tutorial and as a random-access reference suited for immediate use. Java-savvy readers will find it easy to tailor code samples for their particular needs; for Java newcomers, an introduction to Java and numerous online references are provided. This book demonstrates how The MATLAB programming environment relies on Java for numerous tasks, including networking, data-processing algorithms and graphical user-interface (GUI) We can use MATLAB for easy access to external Java functionality, either third-party or user-created Using Java, we can extensively customize the MATLAB environment and application GUI, enabling the creation of visually appealing and usable applications