Programming with MATLAB 2016

Author: Huei-Huang Lee

Publisher: SDC Publications

ISBN: 1630570133

Category: Computers

Page: 416

View: 3867

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: 5490

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 für Dummies

Author: Jim Sizemore

Publisher: John Wiley & Sons

ISBN: 352780871X

Category: Computers

Page: 416

View: 6934

Ob Naturwissenschaftler, Mathematiker, Ingenieur oder Datenwissenschaftler - mit MATLAB haben Sie ein mächtiges Tool in der Hand, das Ihnen die Arbeit mit Ihren Daten erleichtert. Aber wie das mit manch mächtigen Dingen so ist - es ist auch ganz schön kompliziert. Aber keine Sorge! Jim Sizemore führt Sie in diesem Buch Schritt für Schritt an das Programm heran - von der Installation und den ersten Skripten bis hin zu aufwändigen Berechnungen, der Erstellung von Grafiken und effizienter Fehlerbehebung. Sie werden begeistert sein, was Sie mit MATLAB alles anstellen können.
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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: 4827

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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Programming and Engineering Computing with MATLAB 2018

Author: Huei-Huang Lee

Publisher: SDC Publications

ISBN: 1630571717

Category: Computers

Page: 544

View: 6536

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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Wissenschaftliches Rechnen mit MATLAB

Author: Alfio Quarteroni,Fausto Saleri

Publisher: Springer-Verlag

ISBN: 3540293078

Category: Mathematics

Page: 269

View: 2658

Aus den Rezensionen der englischen Auflage: Dieses Lehrbuch ist eine Einführung in das Wissenschaftliche Rechnen und diskutiert Algorithmen und deren mathematischen Hintergrund. Angesprochen werden im Detail nichtlineare Gleichungen, Approximationsverfahren, numerische Integration und Differentiation, numerische Lineare Algebra, gewöhnliche Differentialgleichungen und Randwertprobleme. Zu den einzelnen Themen werden viele Beispiele und Übungsaufgaben sowie deren Lösung präsentiert, die durchweg in MATLAB formuliert sind. Der Leser findet daher nicht nur die graue Theorie sondern auch deren Umsetzung in numerischen, in MATLAB formulierten Code. MATLAB select 2003, Issue 2, p. 50. [Die Autoren] haben ein ausgezeichnetes Werk vorgelegt, das MATLAB vorstellt und eine sehr nützliche Sammlung von MATLAB Funktionen für die Lösung fortgeschrittener mathematischer und naturwissenschaftlicher Probleme bietet. [...] Die Präsentation des Stoffs ist durchgängig gut und leicht verständlich und beinhaltet Lösungen für die Übungen am Ende jedes Kapitels. Als exzellenter Neuzugang für Universitätsbibliotheken- und Buchhandlungen wird dieses Buch sowohl beim Selbststudium als auch als Ergänzung zu anderen MATLAB-basierten Büchern von großem Nutzen sein. Alles in allem: Sehr empfehlenswert. Für Studenten im Erstsemester wie für Experten gleichermassen. S.T. Karris, University of California, Berkeley, Choice 2003.
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Essentials of MATLAB Programming

Author: Stephen J. Chapman

Publisher: Cengage Learning

ISBN: 1337515361

Category: Technology & Engineering

Page: 512

View: 3458

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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Introduction to Matlab Programming with Applications

Author: Aaron Rababaah

Publisher: GRIN Verlag

ISBN: 3668696152

Category: Computers

Page: 369

View: 5516

Document from the year 2018 in the subject Computer Science - Programming, grade: 4.0, American University of Kuwait, language: English, abstract: This book is a comprehensive practical introduction to MATLAB programming language and development environment that covers basic and advanced tools and techniques in math, technology and engineering applications. The author offers a wealth of close to ten years of experience with MATLAB to help computer science and engineering students rapidly develop and test their projects. The style of this book is a walk-through learning strategy where, every lesson learned will be practically demonstrated with open source code provided as well.
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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: 3785

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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Programming Fundamentals with MATLAB Using MuPAD

Author: Smith A.

Publisher: Createspace Independent Publishing Platform

ISBN: 9781540642936

Category:

Page: 158

View: 6280

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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GPU Programming in MATLAB

Author: Nikolaos Ploskas,Nikolaos Samaras

Publisher: Morgan Kaufmann

ISBN: 0128051337

Category: Computers

Page: 318

View: 1753

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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Matlab and Python Programming

A Practical Guide for Engineers & Data Scientists

Author: Upskill Learning

Publisher: N.A

ISBN: 9781540599568

Category:

Page: 272

View: 3032

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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Quadratic Programming with Computer Programs

Author: Michael J. Best

Publisher: CRC Press

ISBN: 1351647202

Category: Business & Economics

Page: 386

View: 8709

Quadratic programming is a mathematical technique that allows for the optimization of a quadratic function in several variables. QP is a subset of Operations Research and is the next higher lever of sophistication than Linear Programming. It is a key mathematical tool in Portfolio Optimization and structural plasticity. This is useful in Civil Engineering as well as Statistics.
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Mathematische Methoden zur Mechanik

Ein Handbuch mit MATLAB®-Experimenten

Author: Eckart W. Gekeler

Publisher: Springer-Verlag

ISBN: 3642142532

Category: Mathematics

Page: 645

View: 2457

Das Spannungsfeld zwischen Mathematik und Mechanik bildet eine nie versiegende Quelle neuer Entwicklungen. Das Lehrbuch enthält eine breite Palette klassischer Themen, vom Dreikörperproblem und der Kreiseltheorie über Bifurkationstheorie und Optimierung bis zur Kontinuumsmechanik elastischer Körper und Flüssigkeiten. Mit Matlab-Programmen, die auf der Homepage des Autors zur Verfügung gestellt werden, können Leser Experimente durchführen. Dabei kann jedes Bild oder Diagramm selbst erzeugt und Daten oder Algorithmus nach Belieben abgeändert werden.
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Algorithmen und Datenstrukturen

Pascal-Version

Author: Niklaus Wirth

Publisher: Springer-Verlag

ISBN: 3322801543

Category: Computers

Page: 320

View: 381

Erleichtern Sie sich den Einstieg in das Thema Datenstrukturen und Algorithmen mit Pascal. Zahlreiche Abbildungen und Beispiele machen diesen Klassiker besonders anschaulich.
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Advanced Optimization Techniques and Examples with MATLAB

Author: E. Clapton

Publisher: Createspace Independent Publishing Platform

ISBN: 9781540349972

Category:

Page: 292

View: 1619

MATLAB Optimization Toolbox provides widely used algorithms for and large-scale optimization. These algorithms solve constrained and unconstrained continuous and discrete problems. The toolbox, developed in this book, includes functions for linear programming, quadratic programming, binary integer programming, nonlinear optimization, nonlinear least squares, systems of nonlinear equations, and multiobjective optimization. You can use them to find optimal solutions, perform tradeoff analyses, balance multiple design alternatives, and incorporate optimization methods into algorithms and models.The more important features are the next:* Interactive tools for defining and solving optimization problems and monitoring solution progress* Solvers for nonlinear and multiobjective optimization * Solvers for nonlinear least squares, data fitting, and nonlinear equations* Methods for solving quadratic and linear programming problems * Methods for solving binary integer programming problems* Parallel computing support in selected constrained nonlinear solvers
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Development of Innovative Drugs via Modeling with MATLAB

A Practical Guide

Author: Ronald Gieschke,Daniel Serafin

Publisher: Springer Science & Business Media

ISBN: 3642397654

Category: Medical

Page: 399

View: 1207

The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens? Written from the industry perspective and based on many years of experience, this book offers: - Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs - Guidance for exploration and modification of these programs to enhance the understanding of key principles - Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature - A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling. Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development.
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MATLAB Guide, Third Edition

Author: Desmond J. Higham,Nicholas J. Higham

Publisher: SIAM

ISBN: 1611974658

Category: Science

Page: 498

View: 1032

MATLAB is an interactive system for numerical computation that is widely used for teaching and research in industry and academia. It provides a modern programming language and problem solving environment, with powerful data structures, customizable graphics, and easy-to-use editing and debugging tools. This third edition of MATLAB Guide completely revises and updates the best-selling second edition and is more than 30 percent longer. The book remains a lively, concise introduction to the most popular and important features of MATLAB and the Symbolic Math Toolbox. Key features are a tutorial in Chapter 1 that gives a hands-on overview of MATLAB; a thorough treatment of MATLAB mathematics, including the linear algebra and numerical analysis functions and the differential equation solvers; and a web page at http://www.siam.org/books/ot150 that provides example program files, updates, and links to MATLAB resources. The new edition contains color figures throughout; includes pithy discussions of related topics in new ?Asides" boxes that augment the text; has new chapters on the Parallel Computing Toolbox, object-oriented programming, graphs, and large data sets; covers important new MATLAB data types such as categorical arrays, string arrays, tall arrays, tables, and timetables; contains more on MATLAB workflow, including the Live Editor and unit tests; and fully reflects major updates to the MATLAB graphics system. This book is suitable for both beginners and more experienced users, including students, researchers, and practitioners.
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Digital Signal Processing with Matlab Examples, Volume 2

Decomposition, Recovery, Data-Based Actions

Author: Jose Maria Giron-Sierra

Publisher: Springer

ISBN: 9811025371

Category: Technology & Engineering

Page: 913

View: 8449

This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.
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