Programming with MATLAB 2016

Author: Huei-Huang Lee

Publisher: SDC Publications

ISBN: 1630570133

Category: Computers

Page: 416

View: 7991

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: 6456

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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Wissenschaftliches Rechnen mit MATLAB

Author: Alfio Quarteroni,Fausto Saleri

Publisher: Springer-Verlag

ISBN: 3540293078

Category: Mathematics

Page: 269

View: 3401

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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Matlab für Dummies

Author: Jim Sizemore

Publisher: John Wiley & Sons

ISBN: 352780871X

Category: Computers

Page: 416

View: 5324

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 and Engineering Computing with MATLAB 2018

Author: Huei-Huang Lee

Publisher: SDC Publications

ISBN: 1630571717

Category: Computers

Page: 544

View: 537

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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Programming Behavioral Experiments with MATLAB and Psychtoolbox

9 Simple Steps for Students and Researchers

Author: Erman Misirlisoy

Publisher: Routledge

ISBN: 1317205626

Category: Psychology

Page: 70

View: 5509

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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Numerical and Analytical Methods with MATLAB for Electrical Engineers

Author: William Bober,Andrew Stevens

Publisher: CRC Press

ISBN: 1466576073

Category: Mathematics

Page: 388

View: 5540

Combining academic and practical approaches to this important topic, Numerical and Analytical Methods with MATLAB® for Electrical Engineers is the ideal resource for electrical and computer engineering students. Based on a previous edition that was geared toward mechanical engineering students, this book expands many of the concepts presented in that book and replaces the original projects with new ones intended specifically for electrical engineering students. This book includes: An introduction to the MATLAB programming environment Mathematical techniques for matrix algebra, root finding, integration, and differential equations More advanced topics, including transform methods, signal processing, curve fitting, and optimization An introduction to the MATLAB graphical design environment, Simulink Exploring the numerical methods that electrical engineers use for design analysis and testing, this book comprises standalone chapters outlining a course that also introduces students to computational methods and programming skills, using MATLAB as the programming environment. Helping engineering students to develop a feel for structural programming—not just button-pushing with a software program—the illustrative examples and extensive assignments in this resource enable them to develop the necessary skills and then apply them to practical electrical engineering problems and cases.
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Introduction to Matlab Programming with Applications

Author: Aaron Rababaah

Publisher: GRIN Verlag

ISBN: 3668696152

Category: Computers

Page: 369

View: 2417

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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Quadratic Programming with Computer Programs

Author: Michael J. Best

Publisher: CRC Press

ISBN: 1351647202

Category: Business & Economics

Page: 386

View: 3265

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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Essentials of MATLAB Programming

Author: Stephen J. Chapman

Publisher: Cengage Learning

ISBN: 1337515361

Category: Technology & Engineering

Page: 512

View: 7116

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 Modeling and Simulation with MATLAB® and Python

Author: Steven I. Gordon,Brian Guilfoos

Publisher: CRC Press

ISBN: 1498773907

Category: Computers

Page: 192

View: 3802

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own. Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts – one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics. The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors.
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Programming Fundamentals with MATLAB Using MuPAD

Author: Smith A.

Publisher: Createspace Independent Publishing Platform

ISBN: 9781540642936

Category:

Page: 158

View: 3206

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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Matlab and Python Programming

A Practical Guide for Engineers & Data Scientists

Author: Upskill Learning

Publisher: N.A

ISBN: 9781540599568

Category:

Page: 272

View: 8187

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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Mathematische Methoden zur Mechanik

Ein Handbuch mit MATLAB®-Experimenten

Author: Eckart W. Gekeler

Publisher: Springer-Verlag

ISBN: 3642142532

Category: Mathematics

Page: 645

View: 4516

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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Matlab

A Practical Introduction to Programming and Problem Solving

Author: Stormy Attaway

Publisher: Butterworth-Heinemann

ISBN: 0128045418

Category: Computers

Page: 600

View: 7542

MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering applications to help the reader learn this software tool in context, and a new section on object-oriented programming in MATLAB. MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The 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. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. Presents programming concepts and MATLAB built-in functions side-by-side Offers a systematic, step-by-step approach, building on concepts throughout the book and facilitating easier learning Includes sections on common pitfalls and programming guidelines to direct students toward best practices Combines basic programming concepts, built-in functions, and advanced topics for problem solving with MATLAB to make this book uniquely suitable for a wide range of courses teaching or using MATLAB across the curriculum
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GPU Programming in MATLAB

Author: Nikolaos Ploskas,Nikolaos Samaras

Publisher: Morgan Kaufmann

ISBN: 0128051337

Category: Computers

Page: 318

View: 1626

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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Getting Started with MATLAB

A Quick Introduction for Scientists and Engineers

Author: Rudra Pratap

Publisher: Harcourt College Pub

ISBN: 9780030178849

Category: Engineering mathematics

Page: 171

View: 3258

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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: 7519

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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Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink

Author: Kenneth R. Dixon

Publisher: CRC Press

ISBN: 1439855188

Category: Mathematics

Page: 270

View: 8088

Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB® and Simulink® covers the steps in modeling and simulation from problem conception to validation and simulation analysis. Using the MATLAB and Simulink programming languages, the book presents examples of mathematical functions and simulations, with special emphasis on how to develop mathematical models and run computer simulations of ecotoxicological processes. Designed for students and professionals with little or no experience in modeling, the book includes: General principles of modeling and simulation and an introduction to MATLAB and Simulink Stochastic modeling where variability and uncertainty are acknowledged by making parameters random variables Toxicological processes from the level of the individual organism, with worked examples of process models in either MATLAB or Simulink Toxicological processes at the level of populations, communities, and ecosystems Parameter estimation using least squares regression methods The design of simulation experiments similar to the experimental design applied to laboratory or field experiments Methods of postsimulation analysis, including stability analysis and sensitivity analysis Different levels of model validation and how they are related to the modeling purpose The book also provides three individual case studies. The first involves a model developed to assess the relative risk of mortality following exposure to insecticides in different avian species. The second explores the role of diving behavior on the inhalation and distribution of oil spill naphthalene in bottlenose dolphins. The final case study looks at the dynamics of mercury in Daphnia that are exposed to simulated thermal plumes from a hypothetical power plant cooling system. Presented in a rigorous yet accessible style, the methodology is versatile enough to be readily applicable not only to environmental toxicology but a range of other biological fields.
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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: 4565

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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