Programming with MATLAB 2016

Author: Huei-Huang Lee

Publisher: SDC Publications

ISBN: 1630570133

Category: Computers

Page: 416

View: 1702

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.
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MATLAB - Programming with MATLAB for Beginners

A Practical Introduction to Programming and Problem Solving (MATLAB for Engineers, MATLAB for Scientists, MATLAB Programming for Dummies)

Author: Learning, Upskill

Publisher: N.A

ISBN: 9781536991444

Category:

Page: 174

View: 7525

Learn MATLAB Programming in Less Than 24 Hours!MATLAB - A Practical Introduction to Programming and Problem Solving is exclusively designed for MATLAB Beginners. Programming with MATLAB is a step-by-step comprehensive guide that equips your skills in MATLAB. Whether you are a Math Student, Researcher, Teacher, Engineer or Scientist - this book covers the in-and-out of the essentials you need to learn to become familiar with MATLAB. What You'll Learn From This Book?Introduction To MATLABChapter 1: MATLAB - Intro, Features, Modules & InfluenceChapter 2: Getting started with MATLABChapter 3: Getting familiar with MATLABChapter 4: Basic Commands in MATLABChapter 5: Matrix OperationsChapter 6: Array and Linear OperationsChapter 7: Programming with MATLABChapter 8: Input, Output and OperatorsChapter 9: Flow Control StatementsChapter 10: Math FunctionsChapter 11: StringsChapter 12: PlotsChapter 13: Graphics and Graphical User Interface ProgrammingChapter 14: Autocorrelation using MATLABChapter 15: How To Become A MATLAB Expert?MATLAB has influence over many areas of human technology from Artificial Intelligence to Aerospace. Mastering the basics of MATLAB gives you the ability to learn advanced topics more easily, create amazing tools and software, and conduct engineering tasks with ease. If you want to learn MATLAB for your Work or College, this is the right book for you.
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MATLAB

A Practical Introduction to Programming and Problem Solving

Author: Stormy Attaway

Publisher: Butterworth-Heinemann

ISBN: 0128163453

Category: Computers

Page: 626

View: 2090

MATLAB: 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 fifth edition has been updated to reflect the functionality of the current version of MATLAB (R2018a), including the addition of local functions in scripts, the new string type, coverage of recently introduced functions to import data from web sites, and updates to the Live Editor and App Designer. Presents programming concepts and MATLAB built-in functions side by side, giving students the ability to program efficiently and exploit the power of MATLAB to solve technical problems Offers sections on common pitfalls and programming guidelines that direct students to best practice procedures Tests conceptual understanding of the material with Quick Questions! and Practice sections within each chapter NEW TO THE FIFTH EDITION Use of MATLAB Version R2018a A revised Text Manipulation chapter, which includes manipulating character vectors as well as the new string type Introduction to alternate MATLAB platforms, including MATLAB Mobile Local functions within scripts The new output format for most expression types Introduction to the RESTFUL web functions which import data from web sites Increased coverage of App Designer Introduction to recording audio from a built-in device such as a microphone Modified and new end-of-chapter exercises More coverage of data structures including categorical arrays and tables Increased coverage of built-in functions in MATLAB
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Programming and Engineering Computing with MATLAB 2018

Author: Huei-Huang Lee

Publisher: SDC Publications

ISBN: 1630571717

Category: Computers

Page: 544

View: 2830

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.
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MATLAB Programming for Engineers

Author: Stephen J. Chapman

Publisher: Cengage Learning

ISBN: 1305445368

Category: Technology & Engineering

Page: 672

View: 5451

Emphasizing problem-solving skills throughout, this fifth edition of Chapman's highly successful book teaches MATLAB as a technical programming language, showing students how to write clean, efficient, and well-documented programs, while introducing them to many of the practical functions of MATLAB. The first eight chapters are designed to serve as the text for an Introduction to Programming / Problem Solving course for first-year engineering students. The remaining chapters, which cover advanced topics such as I/O, object-oriented programming, and Graphical User Interfaces, may be covered in a longer course or used as a reference by engineering students or practicing engineers who use MATLAB. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Linear Programming with MATLAB

Author: Michael C. Ferris,Olvi L. Mangasarian,Stephen J. Wright

Publisher: SIAM

ISBN: 0898716438

Category: Mathematics

Page: 266

View: 7862

A self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required.
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An Engineer's Introduction to Programming with MATLAB 2018

Author: Shawna Lockhart,Eric Tilleson

Publisher: SDC Publications

ISBN: 1630572063

Category: Computers

Page: 250

View: 1165

This book accomplishes two things simultaneously: it teaches you to use the latest version of the powerful MATLAB programming environment, and it teaches you core, transferrable programming skills that will make you feel at home with most procedural programming languages. MATLAB has been in existence for more than 30 years and is used by millions of engineers, scientists, and students worldwide, both for its depth and its easy usability. With dozens of specialized toolboxes available beyond the core program, as well as its companion program Simulink for simulation and model-based design, MATLAB can serve as an invaluable aid throughout your career. Unlike many MATLAB books, ours assumes no prior experience in computer programming. Using an approachable tone, we take you from the simplest variables through complex examples of data visualization and curve fitting. Each chapter builds on the last, presenting an in-depth tutorial on a focused concept central to programming, using the MATLAB language, but applicable to countless other popular and in-demand languages such as C++, Java, JavaScript, R, and Python. We'll ask you to perform short exercises as we work through each chapter, followed by more end-to-end exercises and mental challenges at the chapter's end. As the complexity of the concepts increases, the exercises present increasingly real-world engineering challenges to match. Once you've completed An Engineer's Introduction to Programming with MATLAB 2018, you will have a solid foundation in computer programming forms and concepts and a comfort with the MATLAB environment and programming language. We believe that you'll enjoy both gaining and having that knowledge, and that you'll be able to use it almost immediately with your other coursework.
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GPU Programming in MATLAB

Author: Nikolaos Ploskas,Nikolaos Samaras

Publisher: Morgan Kaufmann

ISBN: 0128051337

Category: Computers

Page: 318

View: 8788

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
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Finite Element Simulations with ANSYS Workbench 18

Author: Huei-Huang Lee

Publisher: SDC Publications

ISBN: 1630571733

Category: Computers

Page: 612

View: 8643

Finite Element Simulations with ANSYS Workbench 18 is a comprehensive and easy to understand workbook. Printed in full color, it utilizes rich graphics and step-by-step instructions to guide you through learning how to perform finite element simulations using ANSYS Workbench. Twenty seven real world case studies are used throughout the book. Many of these case studies are industrial or research projects that you build from scratch. Prebuilt project files are available for download should you run into any problems. Companion videos, that demonstrate exactly how to perform each tutorial, are also available. Relevant background knowledge is reviewed whenever necessary. To be efficient, the review is conceptual rather than mathematical. Key concepts are inserted whenever appropriate and summarized at the end of each chapter. Additional exercises or extension research problems are provided as homework at the end of each chapter. A learning approach emphasizing hands-on experiences is utilized though this entire book. A typical chapter consists of six sections. The first two provide two step-by-step examples. The third section tries to complement the exercises by providing a more systematic view of the chapter subject. The following two sections provide more exercises. The final section provides review problems.
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Programming Behavioral Experiments with MATLAB and Psychtoolbox

9 Simple Steps for Students and Researchers

Author: Erman Misirlisoy

Publisher: Routledge

ISBN: 1317205626

Category: Psychology

Page: 80

View: 732

Human behavior is fascinating so it’s no surprise that psychologists and neuroscientists spend their lives designing rigorous experiments to understand it. MATLAB is one of the most widely used pieces of software for designing and running behavioral experiments, and it opens up a world of quick and flexible experiment programming. This book offers a step-by-step guide to using MATLAB with Psychtoolbox to create customisable experiments. Its pocket size and simple language allow you to get straight to the point and help you to learn fast in order to complete your work in great time. In nine simple steps, it guides you all the way from setting parameters for your experiment to analysing the output. Gone are the daunting days of working through hundreds of irrelevant and complicated documents, as in this handy book, Erman Misirlisoy coaxes you in the right direction with his friendly and encouraging tricks and tips. If you want to learn how to develop your own experiments to collect and analyse behavioral data, then this book is a must-read. Whether you are a student in experimental psychology, a researcher in cognitive neuroscience, or simply someone who wants to run behavioral tasks on your friends for fun, this book will offer you the skills to succeed.
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Applied Optimization with MATLAB Programming

Author: P. Venkataraman

Publisher: John Wiley & Sons

ISBN: 047008488X

Category: Technology & Engineering

Page: 526

View: 6026

Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to analyze more variables (especially under non-linear, multivariable conditions) more quickly than ever before. This book covers all classical linear and nonlinear optimization techniques while focusing on the standard mathematical engine, MATLAB. As with the first edition, the author uses MATLAB in examples for running computer-based optimization problems. New coverage in this edition includes design optimization techniques such as Multidisciplinary Optimization, Explicit Solution for Boundary Value Problems, and Particle Swarm Optimization.
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Learning to Program with MATLAB: Building GUI Tools

Building GUI Tools

Author: Craig S. Lent

Publisher: Wiley Global Education

ISBN: 1118476646

Category: Computers

Page: 464

View: 8517

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.
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Programming Fundamentals with MATLAB Using MuPAD

Author: Smith A.

Publisher: Createspace Independent Publishing Platform

ISBN: 9781540642936

Category:

Page: 158

View: 5644

MATLAB Symbolic Math Toolbox uses the MuPAD language as part of its underlying computational engine. The language has an extensive set of functions that are optimized for creating and operating on symbolic math expressions. Mupad is a GUI driven MATLAB package that helps you do algebra, calculus, as well as to graph and visualize functions. As you know, MATLAB is good for writing simple programs and working with numbers, but is cumbersome for doing symbolic calculations. In contrast, Mupad works with symbols by default, and has a nice menu-driven interface. This book develops the MuPAD Programming Language in MATLAB environment
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Programming for Computations - MATLAB/Octave

A Gentle Introduction to Numerical Simulations with MATLAB/Octave

Author: Svein Linge,Hans Petter Langtangen

Publisher: Springer

ISBN: 3319324527

Category: Computers

Page: 216

View: 3167

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
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Essentials of MATLAB Programming

Author: Stephen J. Chapman

Publisher: Cengage Learning

ISBN: 1337515361

Category: Technology & Engineering

Page: 512

View: 4283

Now readers can master the MATLAB language as they learn how to effectively solve typical problems with the concise, successful ESSENTIALS OF MATLAB PROGRAMMING, 3E. Author Stephen Chapman emphasizes problem-solving skills throughout the book as he teaches MATLAB as a technical programming language. Readers learn how to write clean, efficient, and well-documented programs, while the book simultaneously presents the many practical functions of MATLAB. The first seven chapters introduce programming and problem solving. The last two chapters address more advanced topics of additional data types and plot types, cell arrays, structures, and new MATLAB handle graphics to ensure readers have the skills they need. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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A Primer on Scientific Programming with Python

Author: Hans Petter Langtangen

Publisher: Springer

ISBN: 3662498871

Category: Computers

Page: 922

View: 2116

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015
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Matlab and Python Programming

A Practical Guide for Engineers & Data Scientists

Author: Upskill Learning

Publisher: N.A

ISBN: 9781540599568

Category:

Page: 272

View: 9873

Learn MATLAB & PYTHON Programming in Less Than 24 Hours!MATLAB & PYTHON Programming - A Practical Guide For Engineers & Data Scientists is exclusively designed for MATLAB and Python Beginners. This is a step-by-step comprehensive guide that equips your skills in MATLAB and Python. Whether you are a Math Student, Researcher, Teacher, Engineer or Scientist - this book covers the in-and-out of the essentials you need to learn to become familiar with MATLAB and Python Programming. What You'll Learn From This Book?Introduction To MATLABChapter 1: MATLAB - Intro, Features, Modules & InfluenceChapter 2: Getting started with MATLABChapter 3: Getting familiar with MATLABChapter 4: Basic Commands in MATLABChapter 5: Matrix OperationsChapter 6: Array and Linear OperationsChapter 7: Programming with MATLABChapter 8: Input, Output and OperatorsChapter 9: Flow Control StatementsChapter 10: Math FunctionsChapter 11: StringsChapter 12: PlotsChapter 13: Graphics and Graphical User Interface ProgrammingChapter 14: Autocorrelation using MATLABChapter 15: How To Become A MATLAB Expert?Chapter 1: Introduction To PythonChapter 2: Python - FeaturesChapter 3: Setting Up The EnvironmentChapter 4: IdentifiersChapter 5: VariablesChapter 6: WhitespacesChapter 7: CommentsChapter 8: StringsChapter 9: Types Of OperationsChapter 10: Data TypesChapter 11: Flow Of Control/Decision MakingChapter 12: Loops In PythonChapter 13: FunctionsChapter 14: ModulesChapter 15: File HandlingChapter 16: Exception HandlingChapter 17: Classes In Python Chapter 18: Tips For BeginnersMATLAB has influence over many areas of human technology from Artificial Intelligence to Aerospace. Mastering the basics of MATLAB gives you the ability to learn advanced topics more easily, create amazing tools and software, and conduct engineering tasks with ease. This book's been prepared for the beginners to help them understand basic Python programming. After completing this book from start to end, you will find yourself at a moderate level of expertise in Python programming from where you can take yourself to next levels. If you want to learn MATLAB and Python Programming for your Work or College, this is the right book for you.
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Environmental Data Analysis with MatLab

Author: William Menke,Joshua Menke

Publisher: Academic Press

ISBN: 0128045507

Category: Mathematics

Page: 342

View: 6217

Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. Since publication of the bestselling Environmental Data Analysis with MATLAB®, many advances have been made in environmental data analysis. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often noisy data drawn from a broad range of sources. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios. MATLAB®, a commercial data processing environment, is used in these scenarios. Significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. This new edition, though written in a self-contained way, is supplemented with data and MATLAB® scripts that can be used as a data analysis tutorial. New features include boxed crib sheets to help identify major results and important formulas and give brief advice on how and when they should be used. Numerical derivatives and integrals are derived and illustrated. Includes log-log plots with further examples of their use. Discusses new datasets on precipitation and stream flow. Topical enhancement applies the chi-squared test to the results of the generalized least squares method. New coverage of cluster analysis and approximation techniques that are widely applied in data analysis, including Taylor Series and low-order polynomial approximations; non-linear least-squares with Newton’s method; and pre-calculation and updating techniques applicable to real time data acquisition. Provides a clear learning path for researchers and students using data analysis techniques which build upon one another, choosing the right order of presentation to substantially aid the reader in learning material Includes crib sheets to summarize the most important data analysis techniques, results, procedures, and formulas, serving to organize the material in such a way that its sequence is more apparent Uses real-world environmental examples and case studies formulated using the readily-available software environment in MATLAB® Includes log-log plots with further examples of their use
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