November 29, 2020

Download Ebook Free MATLAB® By Example

MATLAB® by Example

MATLAB® by Example
Author : Munther Gdeisat,Francis Lilley
Publisher : Newnes
Release Date : 2012-12-31
Category : Computers
Total pages :366
GET BOOK

MATLAB By Example guides the reader through each step of writing MATLAB programs. The book assumes no previous programming experience on the part of the reader, and uses multiple examples in clear language to introduce concepts and practical tools. Straightforward and detailed instructions allow beginners to learn and develop their MATLAB skills quickly. The book consists of ten chapters, discussing in detail the integrated development environment (IDE), scalars, vectors, arrays, adopting structured programming style using functions and recursive functions, control flow, debugging, profiling, and structures. A chapter also describes Symbolic Math Toolbox, teaching readers how to solve algebraic equations, differentiation, integration, differential equations, and Laplace and Fourier transforms. Containing hundreds of examples illustrated using screen shots, hundreds of exercises, and three projects, this book can be used to complement coursework or as a self-study book, and can be used as a textbook in universities, colleges and high schools. No programming experience necessary to learn MATLAB Examples with screenshots and plentiful exercises throughout help make MATLAB easy to understand Projects enable readers to write long MATLAB programs, and take the first step toward being a professional MATLAB programmer

Exam Prep for: Matlab by Example; Programming Basics

Exam Prep for: Matlab by Example; Programming Basics
Author : Anonim
Publisher : Unknown
Release Date : 2020
Category :
Total pages :129
GET BOOK

Programming with MATLAB 2016

Programming with MATLAB 2016
Author : Huei-Huang Lee
Publisher : SDC Publications
Release Date : 2016-09
Category : Computers
Total pages :416
GET BOOK

This book is designed for undergraduate students, completely new to programming with MATLAB. Case studies and examples are used extensively throughout this book and are at the core of what makes this book so unique. The author believes that the best way to learn MATLAB is to study programs written by experienced programmers and that the quality of these example programs determines the quality of the book. The examples in this book are carefully designed to teach you MATLAB programming as well as to inspire within you your own problem solving potential. Most of the examples used in this book are designed to solve a whole class of problems, rather than a single, specific problem. A learn by doing teaching approach is used all through the book. You are guided to tackle a problem using MATLAB commands first and then the commands are explained line by line. This process of learning through hands on experience is one of the most efficient and pain-free ways of learning MATLAB. This approach, together with the extensive use of ordered textboxes, figures, and tables, greatly reduces the size of the book, while still providing you with a book that’s comprehensive and easy to follow. The first chapter of this book introduces the MATLAB programming environment and familiarizes you with MATLAB’s core functionality. Chapters two through nine discuss basic MATLAB functionalities in a progressive and comprehensive way. The chapters start out simple and build in complexity as you advance through the book. Chapters ten through thirteen cover advanced topics that are particularly useful in college programs. Each chapter consists of sections, each covering a topic and providing one or more examples. Related MATLAB functions are organized at the end of a section. Additional exercise problems are provided at the end of chapters two through nine. Examples in each section are presented in a consistent way. An example is usually described first, followed by a MATLAB script. Any resulting text and graphics output (and in some cases inputs) that are produced from running a script are presented and discussed. Finally, the remainder of each section is devoted to explaining the purpose of the lines of the script.

An Introduction to Computational Fluid Mechanics by Example

An Introduction to Computational Fluid Mechanics by Example
Author : Sedat Biringen,Chuen-Yen Chow
Publisher : John Wiley & Sons
Release Date : 2011-03-21
Category : Science
Total pages :320
GET BOOK

This new book builds on the original classic textbook entitled: An Introduction to Computational Fluid Mechanics by C. Y. Chow which was originally published in 1979. In the decades that have passed since this book was published the field of computational fluid dynamics has seen a number of changes in both the sophistication of the algorithms used but also advances in the computer hardware and software available. This new book incorporates the latest algorithms in the solution techniques and supports this by using numerous examples of applications to a broad range of industries from mechanical and aerospace disciplines to civil and the biosciences. The computer programs are developed and available in MATLAB. In addition the core text provides up-to-date solution methods for the Navier-Stokes equations, including fractional step time-advancement, and pseudo-spectral methods. The computer codes at the following website: www.wiley.com/go/biringen

MATLAB for Electrical Engineers and Technologists

MATLAB for Electrical Engineers and Technologists
Author : Stephen Philip Tubbs
Publisher : Unknown
Release Date : 2010-05
Category : Computers
Total pages :136
GET BOOK

MATLAB is a popular program. A MATLAB website states ¿Over 1,000,000 engineers and scientists¿.use MATLAB and Simulink.¿ Monster.com has hundreds of advertisements for jobs requiring MATLAB. The first purpose of this book is to quickly teach an electrical engineer or technologist how to use MATLAB. The reader learns by example. Complete keystroke-to-keystroke details are provided for problem solution and documentation. Most of this book¿s examples demonstrate MATLAB¿s abilities as a stand-alone programming language for performing numeric electrical computations. Also, two MathWorks add-on programs are demonstrated, the Optimization Toolbox, and Simulink. The second purpose of this book is to demonstrate MATLAB solutions of practical electrical problems. The simplest and most basic uses of MATLAB are in the first examples. Later examples demonstrate more complex capabilities. The reader could use the examples¿ solutions as starting models for his own programs. It is assumed that the reader has an analytical electrical background of the sort that would be gained in a university electrical engineering or electrical engineering technology program. MATLAB is available in a free 30 day Demonstration version. Its key features can be learned in 30 days.

A Guide to MATLAB

A Guide to MATLAB
Author : Brian R. Hunt,Ronald L. Lipsman,Jonathan M. Rosenberg,Kevin R. Coombes,John E. Osborn,Garrett J. Stuck
Publisher : Cambridge University Press
Release Date : 2006-06-08
Category : Mathematics
Total pages :129
GET BOOK

This is a short, focused introduction to MATLAB, a comprehensive software system for mathematical and technical computing. It contains concise explanations of essential MATLAB commands, as well as easily understood instructions for using MATLAB's programming features, graphical capabilities, simulation models, and rich desktop interface. Written for MATLAB 7, it can also be used with earlier (and later) versions of MATLAB. This book teaches how to graph functions, solve equations, manipulate images, and much more. It contains explicit instructions for using MATLAB's companion software, Simulink, which allows graphical models to be built for dynamical systems. MATLAB's new "publish" feature is discussed, which allows mathematical computations to be combined with text and graphics, to produce polished, integrated, interactive documents. For the beginner it explains everything needed to start using MATLAB, while experienced users making the switch to MATLAB 7 from an earlier version will also find much useful information here.

Programming and Engineering Computing with MATLAB 2020

Programming and Engineering Computing with MATLAB 2020
Author : Huei-Huang Lee
Publisher : SDC Publications
Release Date : 2020
Category : Computers
Total pages :532
GET BOOK

This book is designed for undergraduate students completely new to programming with MATLAB. Case studies and examples are used extensively throughout this book and are at the core of what makes this book so unique. The author believes that the best way to learn MATLAB is to study programs written by experienced programmers and that the quality of these example programs determines the quality of the book. The examples in this book are carefully designed to teach you MATLAB programming as well as to inspire within you your own problem solving potential. Most of the examples used in this book are designed to solve a whole class of problems, rather than a single, specific problem. A learn by doing teaching approach is used all through the book. You are guided to tackle a problem using MATLAB commands first and then the commands are explained line by line. This process of learning through hands on experience is one of the most efficient and pain-free ways of learning MATLAB. This approach, together with the extensive use of ordered textboxes, figures, and tables, greatly reduces the size of the book, while still providing you with a book that’s comprehensive and easy to follow. The first chapter of this book introduces the MATLAB programming environment and familiarizes you with MATLAB’s core functionality. Chapters two through nine discuss basic MATLAB functionalities in a progressive and comprehensive way. The chapters start out simple and build in complexity as you advance through the book. Chapters ten through thirteen cover advanced topics that are particularly useful in college programs. Each chapter consists of sections, each covering a topic and providing one or more examples. Related MATLAB functions are organized at the end of a section. Additional exercise problems are provided at the end of chapters two through nine. Examples in each section are presented in a consistent way. An example is usually described first, followed by a MATLAB script. Any resulting text and graphics output (and in some cases inputs) that are produced from running a script are presented and discussed. Finally, the remainder of each section is devoted to explaining the purpose of the lines of the script. Who this book is for This book is developed mainly for undergraduate engineering students. It may be used in courses such as Computers in Engineering, or others that use MATLAB as a software platform. It can also be used as a self-study book for learning MATLAB. College level engineering examples are used in this book. Background knowledge for these engineering examples is illustrated as thoroughly as possible.

Programming and Engineering Computing with MATLAB 2018

Programming and Engineering Computing with MATLAB 2018
Author : Huei-Huang Lee
Publisher : SDC Publications
Release Date : 2018-04
Category : Computers
Total pages :544
GET BOOK

This book is designed for undergraduate students completely new to programming with MATLAB. Case studies and examples are used extensively throughout this book and are at the core of what makes this book so unique. The author believes that the best way to learn MATLAB is to study programs written by experienced programmers and that the quality of these example programs determines the quality of the book. The examples in this book are carefully designed to teach you MATLAB programming as well as to inspire within you your own problem solving potential. Most of the examples used in this book are designed to solve a whole class of problems, rather than a single, specific problem. A learn by doing teaching approach is used all through the book. You are guided to tackle a problem using MATLAB commands first and then the commands are explained line by line. This process of learning through hands on experience is one of the most efficient and pain-free ways of learning MATLAB. This approach, together with the extensive use of ordered textboxes, figures, and tables, greatly reduces the size of the book, while still providing you with a book that’s comprehensive and easy to follow. The first chapter of this book introduces the MATLAB programming environment and familiarizes you with MATLAB’s core functionality. Chapters two through nine discuss basic MATLAB functionalities in a progressive and comprehensive way. The chapters start out simple and build in complexity as you advance through the book. Chapters ten through thirteen cover advanced topics that are particularly useful in college programs. Each chapter consists of sections, each covering a topic and providing one or more examples. Related MATLAB functions are organized at the end of a section. Additional exercise problems are provided at the end of chapters two through nine. Examples in each section are presented in a consistent way. An example is usually described first, followed by a MATLAB script. Any resulting text and graphics output (and in some cases inputs) that are produced from running a script are presented and discussed. Finally, the remainder of each section is devoted to explaining the purpose of the lines of the script.

ROS Robotics By Example

ROS Robotics By Example
Author : Carol Fairchild,Dr. Thomas L. Harman
Publisher : Packt Publishing Ltd
Release Date : 2016-06-30
Category : Computers
Total pages :428
GET BOOK

Bring life to your robot using ROS robotic applications About This Book This book will help you boost your knowledge of ROS and give you advanced practical experience you can apply to your ROS robot platforms This is the only book that offers you step-by-step instructions to solidify your ROS understanding and gain experience using ROS tools From eminent authors, this book offers you a plethora of fun-filled examples to make your own quadcopter, turtlebot, and two-armed robots Who This Book Is For If you are a robotics developer, whether a hobbyist, researchers or professional, and are interested in learning about ROS through a hands-on approach, then this book is for you. You are encouraged to have a working knowledge of GNU/Linux systems and Python. What You Will Learn Get to know the fundamentals of ROS and apply its concepts to real robot examples Control a mobile robot to navigate autonomously in an environment Model your robot designs using URDF and Xacro, and operate them in a ROS Gazebo simulation Control a 7 degree-of-freedom robot arm for visual servoing Fly a quadcopter to autonomous waypoints Gain working knowledge of ROS tools such as Gazebo, rviz, rqt, and Move-It Control robots with mobile devices and controller boards In Detail The visionaries who created ROS developed a framework for robotics centered on the commonality of robotic systems and exploited this commonality in ROS to expedite the development of future robotic systems. From the fundamental concepts to advanced practical experience, this book will provide you with an incremental knowledge of the ROS framework, the backbone of the robotics evolution. ROS standardizes many layers of robotics functionality from low-level device drivers to process control to message passing to software package management. This book provides step-by-step examples of mobile, armed, and flying robots, describing the ROS implementation as the basic model for other robots of these types. By controlling these robots, whether in simulation or in reality, you will use ROS to drive, move, and fly robots using ROS control. Style and approach This is an easy-to-follow guide with hands-on examples of ROS robots, both real and in simulation.

A First Course in Machine Learning

A First Course in Machine Learning
Author : Simon Rogers,Mark Girolami
Publisher : CRC Press
Release Date : 2016-10-14
Category : Business & Economics
Total pages :397
GET BOOK

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." —Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." —Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." —David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." —Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." —Guangzhi Qu, Oakland University, Rochester, Michigan, USA

Applied Numerical Analysis Using MATLAB

Applied Numerical Analysis Using MATLAB
Author : Fausett
Publisher : Pearson Education India
Release Date : 2009-09
Category :
Total pages :688
GET BOOK

MATLAB

MATLAB
Author : Scott T. Smith
Publisher : Dog Ear Publishing
Release Date : 2006
Category : Computers
Total pages :304
GET BOOK

After more than 20 years of development, MATLAB has evolved from a powerful matrix calculation application into a universal programming tool used extensively within scientific and engineering communities both commercial and academic. MATLAB versions 6.x and 7.x include functionality for developing advanced graphical user interfaces, GUIs, and real-time animation and graphics. GUI applications offer many advantages for users who wish to solve complex problems by providing interactivity and visual feedback. Some common examples of application areas where GUI development is desirable: .Image and Video Processing .Signal Processing .Communications .Simulation of Complex Systems .Instrumentation and Data Acquisition Interfaces .Control Systems .Financial Analysis .Animation of 2D or 3D Graphical Data This text introduces you to the capabilities of MATLAB for GUI development and covers the following areas in detail: .Handle Graphics(r) programming and low-level GUIs .High-level GUI development using GUIDE .The structure of GUIs including event processing, callbacks, timers, and real-time animation of plots / data .Advanced GUI architectures including multiple figure GUIs and image mapped interface controls Instructional examples and exercises are provided throughout each chapter that offers a hands-on approach to learning MATLAB GUI development. The M-file code for each example and exercise solution is available for download on the web to help you quickly learn how to develop your own GUIs! About The Author Scott T. Smith received his MSEE degree from SUNY at Buffalo in the fields of image sensor applications and image processing. He currently works for Micron Technology Inc. in California as an Imaging Engineer and has 10 years of experience working with MATLAB and developing GUI applications. Previous work experience includes 3 years at the David Sarnoff Research Center (Former RCA Research Labs) in Princeton, NJ as an Associate Member of the Technical Staff in the Advanced Imaging Group as well 3 years as an R&D engineer for an X-ray/scientific imaging company. He is a member of SPIE and IEEE and is an author or co-author of several papers and patents in the field of imaging.

Essential MATLAB for Scientists and Engineers

Essential MATLAB for Scientists and Engineers
Author : Brian D. Hahn
Publisher : Butterworth-Heinemann
Release Date : 2002
Category : Computers
Total pages :298
GET BOOK

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 for Psychologists

MATLAB for Psychologists
Author : Mauro Borgo,Alessandro Soranzo,Massimo Grassi
Publisher : Springer Science & Business Media
Release Date : 2012-03-24
Category : Psychology
Total pages :284
GET BOOK

The matrix laboratory interactive computing environment—MATLAB—has brought creativity to research in diverse disciplines, particularly in designing and programming experiments. More commonly used in mathematics and the sciences, it also lends itself to a variety of applications across the field of psychology. For the novice looking to use it in experimental psychology research, though, becoming familiar with MATLAB can be a daunting task. MATLAB for Psychologists expertly guides readers through the component steps, skills, and operations of the software, with plentiful graphics and examples to match the reader’s comfort level. Using an extended illustration, this concise volume explains the program’s usefulness at any point in an experiment, without the limits imposed by other types of software. And the authors demonstrate the responsiveness of MATLAB to the individual’s research needs, whether the task is programming experiments, creating sensory stimuli, running simulations, or calculating statistics for data analysis. Key features of the coverage: Thinking in a matrix way. Handling and plotting data. Guidelines for improved programming, sound, and imaging. Statistical analysis and signal detection theory indexes. The Graphical User Interface. The Psychophysics Toolbox. MATLAB for Psychologists serves a wide audience of advanced undergraduate and graduate level psychology students, professors, and researchers as well as lab technicians involved in programming psychology experiments.

Applied Optimization with MATLAB Programming

Applied Optimization with MATLAB Programming
Author : P. Venkataraman
Publisher : John Wiley & Sons
Release Date : 2002
Category : Mathematics
Total pages :398
GET BOOK

This volume will cover all classical linear and nonlinear optimisation techniques while focusing on what has become the industry standard of mathematical engines, MATLAB.