Author: William Bober
Publisher: CRC Press
ISBN: 1351666967
Category : Technology & Engineering
Languages : en
Pages : 224
Book Description
All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB® Programming for Engineers and Scientists examines the basic elements of code writing, and describes MATLAB® methods for solving common engineering problems and applications across the range of engineering disciplines. The text uses a class-tested learning approach and accessible two-color page design to guide students from basic programming to the skills needed for future coursework and engineering practice.
MATLAB® Essentials
Author: William Bober
Publisher: CRC Press
ISBN: 1351666967
Category : Technology & Engineering
Languages : en
Pages : 224
Book Description
All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB® Programming for Engineers and Scientists examines the basic elements of code writing, and describes MATLAB® methods for solving common engineering problems and applications across the range of engineering disciplines. The text uses a class-tested learning approach and accessible two-color page design to guide students from basic programming to the skills needed for future coursework and engineering practice.
Publisher: CRC Press
ISBN: 1351666967
Category : Technology & Engineering
Languages : en
Pages : 224
Book Description
All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB® Programming for Engineers and Scientists examines the basic elements of code writing, and describes MATLAB® methods for solving common engineering problems and applications across the range of engineering disciplines. The text uses a class-tested learning approach and accessible two-color page design to guide students from basic programming to the skills needed for future coursework and engineering practice.
Essential MATLAB for Scientists and Engineers
Author: Daniel T. Valentine
Publisher: Elsevier
ISBN: 008047764X
Category : Computers
Languages : en
Pages : 304
Book Description
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
Publisher: Elsevier
ISBN: 008047764X
Category : Computers
Languages : en
Pages : 304
Book Description
Based on a teach-yourself approach, the fundamentals of MATLAB are illustrated throughout with many examples from a number of different scientific and engineering areas, such as simulation, population modelling, and numerical methods, as well as from business and everyday life. Some of the examples draw on first-year university level maths, but these are self-contained so that their omission will not detract from learning the principles of using MATLAB.This completely revised new edition is based on the latest version of MATLAB. New chapters cover handle graphics, graphical user interfaces (GUIs), structures and cell arrays, and importing/exporting data. The chapter on numerical methods now includes a general GUI-driver ODE solver.* Maintains the easy informal style of the first edition* Teaches the basic principles of scientific programming with MATLAB as the vehicle* Covers the latest version of MATLAB
MATLAB¨/Simulink¨ Essentials: MATLAB¨/Simulink¨ for Engineering Problem Solving and Numerical Analysis
Author: Sulaymon L. Eshkabilov
Publisher: Lulu.com
ISBN: 1483458067
Category : Technology & Engineering
Languages : en
Pages : 671
Book Description
"MATLAB/Simulink Essentials is an interactive approach based guide for students to learn how to employ essential and hands-on tools and functions of the MATLAB and Simulink packages to solve engineering and scientific computer problems, which are explained and demonstrated explicitly via examples, exercises and case studies. The main principle of the book is based on learnng by doing and mastering by practicing. It contains hundreds of solved problems with simulation models via M-files/scripts and Simulink models related to engineering and scientific computing issues. The audience of the book is not only limited to undergraduate students majoring in enginering and scientific computing areas but also postgraduate and research students, and practicing engineers in industry and independent learners. There are many hints and pitfalls indicating efficient usage of MATLAB/Simulink tools and functions, efficient programming methods, and pinpointing most common errors occurred in programming and using MATLAB's built-in tools and functions and Simulink modeling. Every chapter ends with relevant drill exercises for self-testing purposes." -- Back cover.
Publisher: Lulu.com
ISBN: 1483458067
Category : Technology & Engineering
Languages : en
Pages : 671
Book Description
"MATLAB/Simulink Essentials is an interactive approach based guide for students to learn how to employ essential and hands-on tools and functions of the MATLAB and Simulink packages to solve engineering and scientific computer problems, which are explained and demonstrated explicitly via examples, exercises and case studies. The main principle of the book is based on learnng by doing and mastering by practicing. It contains hundreds of solved problems with simulation models via M-files/scripts and Simulink models related to engineering and scientific computing issues. The audience of the book is not only limited to undergraduate students majoring in enginering and scientific computing areas but also postgraduate and research students, and practicing engineers in industry and independent learners. There are many hints and pitfalls indicating efficient usage of MATLAB/Simulink tools and functions, efficient programming methods, and pinpointing most common errors occurred in programming and using MATLAB's built-in tools and functions and Simulink modeling. Every chapter ends with relevant drill exercises for self-testing purposes." -- Back cover.
The Elements of MATLAB Style
Author: Richard K. Johnson
Publisher: Cambridge University Press
ISBN: 1139496409
Category : Computers
Languages : en
Pages : 181
Book Description
The Elements of MATLAB Style is a guide for both new and experienced MATLAB programmers. It provides a comprehensive collection of standards and guidelines for creating solid MATLAB code that will be easy to understand, enhance, and maintain. It is written for both individuals and those working in teams in which consistency is critical. This is the only book devoted to MATLAB style and best programming practices, focusing on how MATLAB code can be written in order to maximize its effectiveness. Just as Strunk and White's The Elements of Style provides rules for writing in the English language, this book provides conventions for formatting, naming, documentation, programming and testing. It includes many concise examples of correct and incorrect usage, as well as coverage of the latest language features. The author also provides recommendations on use of the integrated development environment features that help produce better, more consistent software.
Publisher: Cambridge University Press
ISBN: 1139496409
Category : Computers
Languages : en
Pages : 181
Book Description
The Elements of MATLAB Style is a guide for both new and experienced MATLAB programmers. It provides a comprehensive collection of standards and guidelines for creating solid MATLAB code that will be easy to understand, enhance, and maintain. It is written for both individuals and those working in teams in which consistency is critical. This is the only book devoted to MATLAB style and best programming practices, focusing on how MATLAB code can be written in order to maximize its effectiveness. Just as Strunk and White's The Elements of Style provides rules for writing in the English language, this book provides conventions for formatting, naming, documentation, programming and testing. It includes many concise examples of correct and incorrect usage, as well as coverage of the latest language features. The author also provides recommendations on use of the integrated development environment features that help produce better, more consistent software.
Learning MATLAB
Author: Tobin A. Driscoll
Publisher: SIAM
ISBN: 0898716837
Category : Mathematics
Languages : en
Pages : 104
Book Description
A handbook for MATLAB which gives a focused approach to the software for students and professional researchers.
Publisher: SIAM
ISBN: 0898716837
Category : Mathematics
Languages : en
Pages : 104
Book Description
A handbook for MATLAB which gives a focused approach to the software for students and professional researchers.
Fundamentals of Graphics Using MATLAB
Author: Ranjan Parekh
Publisher: CRC Press
ISBN: 042959173X
Category : Computers
Languages : en
Pages : 427
Book Description
This book introduces fundamental concepts and principles of 2D and 3D graphics and is written for undergraduate and postgraduate students of computer science, graphics, multimedia, and data science. It demonstrates the use of MATLAB® programming for solving problems related to graphics and discusses a variety of visualization tools to generate graphs and plots. The book covers important concepts like transformation, projection, surface generation, parametric representation, curve fitting, interpolation, vector representation, and texture mapping, all of which can be used in a wide variety of educational and research fields. Theoretical concepts are illustrated using a large number of practical examples and programming codes, which can be used to visualize and verify the results. Key Features: Covers fundamental concepts and principles of 2D and 3D graphics Demonstrates the use of MATLAB® programming for solving problems on graphics Provides MATLAB® codes as answers to specific numerical problems Provides codes in a simple copy and execute format for the novice learner Focuses on learning through visual representation with extensive use of graphs and plots Helps the reader gain in-depth knowledge about the subject matter through practical examples Contains review questions and practice problems with answers for self-evaluation
Publisher: CRC Press
ISBN: 042959173X
Category : Computers
Languages : en
Pages : 427
Book Description
This book introduces fundamental concepts and principles of 2D and 3D graphics and is written for undergraduate and postgraduate students of computer science, graphics, multimedia, and data science. It demonstrates the use of MATLAB® programming for solving problems related to graphics and discusses a variety of visualization tools to generate graphs and plots. The book covers important concepts like transformation, projection, surface generation, parametric representation, curve fitting, interpolation, vector representation, and texture mapping, all of which can be used in a wide variety of educational and research fields. Theoretical concepts are illustrated using a large number of practical examples and programming codes, which can be used to visualize and verify the results. Key Features: Covers fundamental concepts and principles of 2D and 3D graphics Demonstrates the use of MATLAB® programming for solving problems on graphics Provides MATLAB® codes as answers to specific numerical problems Provides codes in a simple copy and execute format for the novice learner Focuses on learning through visual representation with extensive use of graphs and plots Helps the reader gain in-depth knowledge about the subject matter through practical examples Contains review questions and practice problems with answers for self-evaluation
Optimization in Practice with MATLAB
Author: Achille Messac
Publisher: Cambridge University Press
ISBN: 1107109183
Category : Computers
Languages : en
Pages : 503
Book Description
This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.
Publisher: Cambridge University Press
ISBN: 1107109183
Category : Computers
Languages : en
Pages : 503
Book Description
This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.
Beginning MATLAB and Simulink
Author: Sulaymon Eshkabilov
Publisher: Apress
ISBN: 1484250613
Category : Computers
Languages : en
Pages : 544
Book Description
Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling essentials. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After reading and using this book, you'll be proficient at using MATLAB and applying the source code from the book's examples as templates for your own projects in data science or engineering. What You Will LearnGet started using MATLAB and SimulinkCarry out data visualization with MATLABGain the programming and modeling essentials of MATLABBuild a GUI with MATLABWork with integration and numerical root finding methodsApply MATLAB to differential equations-based models and simulationsUse MATLAB for data science projects Who This Book Is For Engineers, programmers, data scientists, and students majoring in engineering and scientific computing.
Publisher: Apress
ISBN: 1484250613
Category : Computers
Languages : en
Pages : 544
Book Description
Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling essentials. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After reading and using this book, you'll be proficient at using MATLAB and applying the source code from the book's examples as templates for your own projects in data science or engineering. What You Will LearnGet started using MATLAB and SimulinkCarry out data visualization with MATLABGain the programming and modeling essentials of MATLABBuild a GUI with MATLABWork with integration and numerical root finding methodsApply MATLAB to differential equations-based models and simulationsUse MATLAB for data science projects Who This Book Is For Engineers, programmers, data scientists, and students majoring in engineering and scientific computing.
Essentials of Heat Transfer
Author: Massoud Kaviany
Publisher: Cambridge University Press
ISBN: 1107012406
Category : Science
Languages : en
Pages : 749
Book Description
This is a modern, example-driven introductory textbook on heat transfer, with modern applications, written by a renowned scholar.
Publisher: Cambridge University Press
ISBN: 1107012406
Category : Science
Languages : en
Pages : 749
Book Description
This is a modern, example-driven introductory textbook on heat transfer, with modern applications, written by a renowned scholar.
MATLAB for Machine Learning
Author: Giuseppe Ciaburro
Publisher: Packt Publishing Ltd
ISBN: 1788399390
Category : Computers
Languages : en
Pages : 374
Book Description
Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.
Publisher: Packt Publishing Ltd
ISBN: 1788399390
Category : Computers
Languages : en
Pages : 374
Book Description
Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.