All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB® Programming for Engineers and Scientists examines the basic elements of code writing, and describes MATLAB® methods for solving common engineering problems and applications across the range of engineering disciplines. The text uses a class-tested learning approach and accessible two-color page design to guide students from basic programming to the skills needed for future coursework and engineering practice.

Based on a teach-yourself approach, the fundamentals of MATLAB are illustrated throughout with many examples from a number of different scientific and engineering areas, such as simulation, population modelling, and numerical methods, as well as from business and everyday life. Some of the examples draw on first-year university level maths, but these are self-contained so that their omission will not detract from learning the principles of using MATLAB.This completely revised new edition is based on the latest version of MATLAB. New chapters cover handle graphics, graphical user interfaces (GUIs), structures and cell arrays, and importing/exporting data. The chapter on numerical methods now includes a general GUI-driver ODE solver.* Maintains the easy informal style of the first edition* Teaches the basic principles of scientific programming with MATLAB as the vehicle* Covers the latest version of MATLAB

"MATLAB/Simulink Essentials is an interactive approach based guide for students to learn how to employ essential and hands-on tools and functions of the MATLAB and Simulink packages to solve engineering and scientific computer problems, which are explained and demonstrated explicitly via examples, exercises and case studies. The main principle of the book is based on learnng by doing and mastering by practicing. It contains hundreds of solved problems with simulation models via M-files/scripts and Simulink models related to engineering and scientific computing issues. The audience of the book is not only limited to undergraduate students majoring in enginering and scientific computing areas but also postgraduate and research students, and practicing engineers in industry and independent learners. There are many hints and pitfalls indicating efficient usage of MATLAB/Simulink tools and functions, efficient programming methods, and pinpointing most common errors occurred in programming and using MATLAB's built-in tools and functions and Simulink modeling. Every chapter ends with relevant drill exercises for self-testing purposes." -- Back cover.

The essential guide to MATLAB as a problem solving tool This text presents MATLAB both as a mathematical tool and a programming language, giving a concise and easy to master introduction to its potential and power. The fundamentals of MATLAB are illustrated throughout with many examples from a wide range of familiar scientific and engineering areas, as well as from everyday life. The new edition has been updated to include coverage of Symbolic Math and SIMULINK. It also adds new examples and applications, and uses the most recent release of Matlab. - New chapters on Symbolic Math and SIMULINK provide complete coverage of all the functions available in the student edition of Matlab - New: more exercises and examples, including new examples of beam bending, flow over an airfoil, and other physics-based problems - New: A bibliography provides sources for the engineering problems and examples discussed in the text - A chapter on algorithm development and program design - Common errors and pitfalls highlighted

This textbook introduces powerful computational software tool called MATLAB. The main objective of this book is to expose the readers to MATLAB features that integrate computation, visualization and programming in an easy-to-use environment. This book covers built-in functions of MATLAB, commands and their applications in topics of mathematical physics and engineering mathematics. The book is written in a very simple language and chapters are arranged sequentially. Each topic covered in this book, has its corresponding theoretical explanation prior to its MATLAB execution. The authors explain concepts with the help of screenshots of the MATLAB software and programming codes with their outputs. This approach not only creates a direct link between the book and the MATLAB software but also imbibes the feeling of actual interaction with MATLAB software. A sufficient number of examples based on MATLAB programming codes have been worked out so that students can grasp the concepts, the ideas, and the results in an easy way. At the end of each chapter, students will have a chance to answer several application-based questions in exercise. All these features make this book to be used as a textbook for theoretical learning as well as for laboratory course. The book is suitable for the undergraduate and postgraduate students of mathematics, physics, instrumentation and electronics. The undergraduate students of engineering will also find this book useful.

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.

A handbook for MATLAB which gives a focused approach to the software for students and professional researchers.

This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.

This book introduces fundamental concepts and principles of 2D and 3D graphics and is written for undergraduate and postgraduate students of computer science, graphics, multimedia, and data science. It demonstrates the use of MATLAB® programming for solving problems related to graphics and discusses a variety of visualization tools to generate graphs and plots. The book covers important concepts like transformation, projection, surface generation, parametric representation, curve fitting, interpolation, vector representation, and texture mapping, all of which can be used in a wide variety of educational and research fields. Theoretical concepts are illustrated using a large number of practical examples and programming codes, which can be used to visualize and verify the results. Key Features: Covers fundamental concepts and principles of 2D and 3D graphics Demonstrates the use of MATLAB® programming for solving problems on graphics Provides MATLAB® codes as answers to specific numerical problems Provides codes in a simple copy and execute format for the novice learner Focuses on learning through visual representation with extensive use of graphs and plots Helps the reader gain in-depth knowledge about the subject matter through practical examples Contains review questions and practice problems with answers for self-evaluation

Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling essentials. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After reading and using this book, you'll be proficient at using MATLAB and applying the source code from the book's examples as templates for your own projects in data science or engineering. What You Will LearnGet started using MATLAB and SimulinkCarry out data visualization with MATLABGain the programming and modeling essentials of MATLABBuild a GUI with MATLABWork with integration and numerical root finding methodsApply MATLAB to differential equations-based models and simulationsUse MATLAB for data science projects Who This Book Is For Engineers, programmers, data scientists, and students majoring in engineering and scientific computing.