# MATLAB

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## Numerical Computing with MATLAB

Author | : Cleve B. Moler |

Publsiher | : SIAM |

Total Pages | : 336 |

Release | : 2010-08-12 |

ISBN 10 | : 0898716608 |

ISBN 13 | : 9780898716603 |

Language | : EN, FR, DE, ES & NL |

**Numerical Computing with MATLAB Book Review:**

A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.

## Discrete Systems and Digital Signal Processing with MATLAB

Author | : Taan S. ElAli,Taan ElAli |

Publsiher | : CRC Press |

Total Pages | : 688 |

Release | : 2003-09-29 |

ISBN 10 | : 0203487117 |

ISBN 13 | : 9780203487112 |

Language | : EN, FR, DE, ES & NL |

**Discrete Systems and Digital Signal Processing with MATLAB Book Review:**

Books on linear systems typically cover both discrete and continuous systems together in one book. However, with coverage of this magnitude, not enough information is presented on either of the two subjects. Discrete linear systems warrant a book of their own, and Discrete Systems and Digital Signal Processing with MATLAB provides just that. It offers comprehensive coverage of both discrete linear systems and signal processing in one volume. This detailed book is firmly rooted in basic mathematical principles, and it includes many problems solved first by using analytical tools, then by using MATLAB. Examples that illustrate the theoretical concepts are provided at the end of each chapter.

## Matlab

Author | : Stormy Attaway |

Publsiher | : Butterworth-Heinemann |

Total Pages | : 560 |

Release | : 2013-06-03 |

ISBN 10 | : 0124058930 |

ISBN 13 | : 9780124058934 |

Language | : EN, FR, DE, ES & NL |

**Matlab Book Review:**

MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software’s powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on concepts throughout the text, facilitating easier learning. Sections on common pitfalls and programming guidelines direct students towards best practice. The book is organized into 14 chapters, starting with programming concepts such as variables, assignments, input/output, and selection statements; moves onto loops; and then solves problems using both the ‘programming concept’ and the ‘power of MATLAB’ side-by-side. In-depth coverage is given to input/output, a topic that is fundamental to many engineering applications. Vectorized Code has been made into its own chapter, in order to emphasize the importance of using MATLAB efficiently. There are also expanded examples on low-level file input functions, Graphical User Interfaces, and use of MATLAB Version R2012b; modified and new end-of-chapter exercises; improved labeling of plots; and improved standards for variable names and documentation. This book will be a valuable resource for engineers learning to program and model in MATLAB, as well as for undergraduates in engineering and science taking a course that uses (or recommends) MATLAB. Presents programming concepts and MATLAB built-in functions side-by-side Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning Sections on common pitfalls and programming guidelines direct students towards best practice

## MATLAB For Dummies

Author | : Jim Sizemore,John Paul Mueller |

Publsiher | : John Wiley & Sons |

Total Pages | : 432 |

Release | : 2014-11-10 |

ISBN 10 | : 111882010X |

ISBN 13 | : 9781118820100 |

Language | : EN, FR, DE, ES & NL |

**MATLAB For Dummies Book Review:**

Plot graphs, solve equations, and write code in a flash! If you work in a STEM field, chances are you'll be using MATLAB on a daily basis. MATLAB is a popular and powerful computational tool and this book provides everything you need to start manipulating and plotting your data. MATLAB has rapidly become the premier data tool, and MATLAB For Dummies is a comprehensive guide to the fundamentals. MATLAB For Dummies guides you through this complex computational language from installation to visualization to automation. Learn MATLAB's language fundamentals including syntax, operators, and data types Understand how to use the most important window in MATLAB – the Command Window Get the basics of linear algebra to get up and running with vectors, matrices, and hyperspace Automate your work with programming scripts and functions Plot graphs in 2D and 3D to visualize your data Includes a handy guide for MATLAB's functions and plotting routines MATLAB is an essential part of the analysis arsenal and MATLAB For Dummies provides clear, thorough guidance to get the most out of your data.

## Matrix Theory and Applications with MATLAB

Author | : Darald J. Hartfiel |

Publsiher | : CRC Press |

Total Pages | : 384 |

Release | : 2000-11-28 |

ISBN 10 | : 9781584881087 |

ISBN 13 | : 1584881089 |

Language | : EN, FR, DE, ES & NL |

**Matrix Theory and Applications with MATLAB Book Review:**

Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calculus and unitary similarity-in a presentation that stresses insight, understanding, and applications. Among its most outstanding features is the integration of MATLAB throughout the text. Each chapter includes a MATLAB subsection that discusses the various commands used to do the computations in that section and offers code for the graphics and some algorithms used in the text. All of the material is presented from a matrix point of view with enough rigor for students to learn to compose arguments and proofs and adjust the material to cover other problems. The treatment includes optional subsections covering applications, and the final chapters move beyond basic matrix theory to discuss more advanced topics, such as decompositions, positive definite matrices, graphics, and topology. Filled with illustrations, examples, and exercises that reinforce understanding, Matrix Theory and Applications with MATLAB allows readers to experiment and visualize results in a way that no other text does. Its rigor, use of MATLAB, and focus on applications better prepares them to use the material in their future work and research, to extend the material, and perhaps obtain new results of their own.

## Robust Control Design with MATLAB

Author | : Da-Wei Gu,Petko Petkov,Mihail M Konstantinov |

Publsiher | : Springer Science & Business Media |

Total Pages | : 389 |

Release | : 2005-06-20 |

ISBN 10 | : 9781852339838 |

ISBN 13 | : 1852339837 |

Language | : EN, FR, DE, ES & NL |

**Robust Control Design with MATLAB Book Review:**

Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.

## Foundations of Computational Finance with MATLAB

Author | : Ed McCarthy |

Publsiher | : John Wiley & Sons |

Total Pages | : 368 |

Release | : 2018-06-13 |

ISBN 10 | : 1119433851 |

ISBN 13 | : 9781119433859 |

Language | : EN, FR, DE, ES & NL |

**Foundations of Computational Finance with MATLAB Book Review:**

Graduate from Excel to MATLAB® to keep up with the evolution of finance data Foundations of Computational Finance with MATLAB® is an introductory text for both finance professionals looking to branch out from the spreadsheet, and for programmers who wish to learn more about finance. As financial data grows in volume and complexity, its very nature has changed to the extent that traditional financial calculators and spreadsheet programs are simply no longer enough. Today’s analysts need more powerful data solutions with more customization and visualization capabilities, and MATLAB provides all of this and more in an easy-to-learn skillset. This book walks you through the basics, and then shows you how to stretch your new skills to create customized solutions. Part I demonstrates MATLAB’s capabilities as they apply to traditional finance concepts, and PART II shows you how to create interactive and reusable code, link with external data sources, communicate graphically, and more. Master MATLAB’s basic operations including matrices, arrays, and flexible data structures Learn how to build your own customized solutions when the built-ins just won’t do Learn how to handle financial data and industry-specific variables including risk and uncertainty Adopt more accurate modeling practices for portfolios, options, time series, and more MATLAB is an integrated development environment that includes everything you need in one well-designed user interface. Available Toolboxes provide tested algorithms that save you hours of code, and the skills you learn using MATLAB make it easier to learn additional languages if you choose to do so. Financial firms are catching up to universities in MATLAB usage, so this is skill set that will follow you throughout your career. When you’re ready to step into the new age of finance, Foundations of Computational Finance with MATLAB provides the expert instruction you need to get started quickly.

## MATLAB for Beginners A Gentle Approach

Author | : Peter Kattan |

Publsiher | : Petra Books |

Total Pages | : 288 |

Release | : 2008-07-01 |

ISBN 10 | : 1928374650XXX |

ISBN 13 | : 9182736450XXX |

Language | : EN, FR, DE, ES & NL |

**MATLAB for Beginners A Gentle Approach Book Review:**

This book is written for beginners and students who wish to learn MATLAB. One of the objectives of writing this book is to introduce MATLAB to students in high schools.The material presented is very easy and simple to understand - written in a gentle manner. The topics covered in the book include arithmetic operations, variables, mathematical functions, complex numbers, vectors, matrices, programming, graphs, solving equations, and an introduction to calculus. In addition, the MATLAB Symbolic Math Toolbox is emphasized in this book. There are also over 230 exercises at the ends of chapters for students to practice. Detailed solutions to all the exercises are provided in the second half of the book. The author has been using MATLAB for the past fifteen years and is the author of the best selling book "MATLAB Guide to Finite Elements". For the paperback edition, visit Amazon.com.

## Business Economics and Finance with MATLAB GIS and Simulation Models

Author | : Patrick L. Anderson |

Publsiher | : CRC Press |

Total Pages | : 500 |

Release | : 2004-07-27 |

ISBN 10 | : 0203494652 |

ISBN 13 | : 9780203494653 |

Language | : EN, FR, DE, ES & NL |

**Business Economics and Finance with MATLAB GIS and Simulation Models Book Review:**

This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

## PSPICE and MATLAB for Electronics

Author | : John Okyere Attia |

Publsiher | : CRC Press |

Total Pages | : 382 |

Release | : 2011-06-03 |

ISBN 10 | : 143985971X |

ISBN 13 | : 9781439859711 |

Language | : EN, FR, DE, ES & NL |

**PSPICE and MATLAB for Electronics Book Review:**

Used collectively, PSPICE and MATLAB® are unsurpassed for circuit modeling and data analysis. PSPICE can perform DC, AC, transient, Fourier, temperature, and Monte Carlo analysis of electronic circuits with device models and subsystem subcircuits. MATLAB can then carry out calculations of device parameters, curve fitting, numerical integration, numerical differentiation, statistical analysis, and two- and three-dimensional plots. PSPICE and MATLAB® for Electronics: An Integrated Approach, Second Edition illustrates how to use the strong features of PSPICE and the powerful functions of MATLAB for electronic circuit analysis. After introducing the basic commands and advanced features of PSPICE as well as ORCAD schematics, the author discusses MATLAB fundamentals and functions. He then describes applications of PSPICE and MATLAB for problem solving. Applications covered include diodes, operational amplifiers, and transistor circuits. New to the Second Edition Updated MATLAB topics Schematic capture and text-based PSPICE netlists in several chapters New chapter on PSPICE simulation using the ORCAD schematic capture program New examples and problems, along with a revised bibliography in each chapter This second edition continues to provide an introduction to PSPICE and a simple, hands-on overview of MATLAB. It also demonstrates the combined power of PSPICE and MATLAB for solving electronics problems. The book encourages readers to explore the characteristics of semiconductor devices using PSPICE and MATLAB and apply the two software packages for analyzing electronic circuits and systems.

## A Guide to MATLAB

Author | : Brian R. Hunt,Ronald L. Lipsman,Jonathan M. Rosenberg |

Publsiher | : Cambridge University Press |

Total Pages | : 317 |

Release | : 2014-08-21 |

ISBN 10 | : 1107662222 |

ISBN 13 | : 9781107662223 |

Language | : EN, FR, DE, ES & NL |

**A Guide to MATLAB Book Review:**

"MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages"--

## Beginning MATLAB and Simulink

Author | : Sulaymon Eshkabilov |

Publsiher | : Apress |

Total Pages | : 524 |

Release | : 2019-11-28 |

ISBN 10 | : 1484250613 |

ISBN 13 | : 9781484250617 |

Language | : EN, FR, DE, ES & NL |

**Beginning MATLAB and Simulink Book Review:**

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 Learn Get started using MATLAB and Simulink Carry out data visualization with MATLAB Gain the programming and modeling essentials of MATLAB Build a GUI with MATLAB Work with integration and numerical root finding methods Apply MATLAB to differential equations-based models and simulations Use MATLAB for data science projects Who This Book Is For Engineers, programmers, data scientists, and students majoring in engineering and scientific computing.

## Computer Application in Electronic Engineering MATLAB

Author | : Shohreh Monshizadeh,Azita Monshizadeh |

Publsiher | : Anchor Academic Publishing |

Total Pages | : 80 |

Release | : 2016-07 |

ISBN 10 | : 3960670001 |

ISBN 13 | : 9783960670001 |

Language | : EN, FR, DE, ES & NL |

**Computer Application in Electronic Engineering MATLAB Book Review:**

MATLAB is a numeric computation software for engineering and scientific calculations. MATLAB is increasingly being used by students, researchers, practicing engineers and technicians. The causes of MATLAB popularity are legion. Among them are its iterative mode of operation, built-in functions, simple programming, rich set of graphing facilities, possibilities for writing additional functions, and its extensive toolboxes. This book explains everything you need to know to begin using MATLAB to do all these things and more. Intermediate and advanced users will find useful information here, especially if they are making the switch to MATLAB 7 from an earlier version. The book is divided into five parts: Introduction to MATLAB, Calculation and graphs, Programming in MATLAB, Simulation with MATLAB, and Circuit analysis applications using MATLAB.

## Computational Intelligence Paradigms for Optimization Problems Using MATLAB SIMULINK

Author | : S. Sumathi,L. Ashok Kumar,Surekha. P |

Publsiher | : CRC Press |

Total Pages | : 601 |

Release | : 2018-09-03 |

ISBN 10 | : 1498743722 |

ISBN 13 | : 9781498743723 |

Language | : EN, FR, DE, ES & NL |

**Computational Intelligence Paradigms for Optimization Problems Using MATLAB SIMULINK Book Review:**

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems. Focusing on the practical implementation of CI techniques, this book: Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB® m-files and Simulink® models Includes experimental analyses and results of test systems Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

## An Engineer s Introduction to Programming with MATLAB 2019

Author | : Shawna Lockhart,Eric Tilleson |

Publsiher | : SDC Publications |

Total Pages | : 256 |

Release | : 2019-06 |

ISBN 10 | : 1630572926 |

ISBN 13 | : 9781630572921 |

Language | : EN, FR, DE, ES & NL |

**An Engineer s Introduction to Programming with MATLAB 2019 Book Review:**

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, transferable 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 2019, 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. Videos The authors of this book have recorded instructional videos to accompany this book. These videos allow you to see many of the instructions given in the tutorials being executed in MATLAB itself. These videos should be of particular help to visual learners. This book includes • Step-by-step tutorials written to help the novice user become proficient using MATLAB • A Getting Started chapter for configuring MATLAB for use with the tutorials • Organization and a level suitable for a first year introductory engineering course • Updates for the MATLAB 2019a release. • Tips offering suggestions and warnings as you progress through the book • Key Terms and Key Commands listed to recap important topics and commands learned in each tutorial • An index to help you easily look up topics • Exercises at the end of each tutorial providing challenges to a range of abilities.

## Fuzzy Image Processing and Applications with MATLAB

Author | : Tamalika Chaira,Ajoy Kumar Ray |

Publsiher | : CRC Press |

Total Pages | : 237 |

Release | : 2017-12-19 |

ISBN 10 | : 1351834215 |

ISBN 13 | : 9781351834216 |

Language | : EN, FR, DE, ES & NL |

**Fuzzy Image Processing and Applications with MATLAB Book Review:**

In contrast to classical image analysis methods that employ "crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge. Fuzzy Image Processing and Applications with MATLAB® presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging, and video surveillance, to name a few. Many texts cover the use of crisp sets, but this book stands apart by exploring the explosion of interest and significant growth in fuzzy set image processing. The distinguished authors clearly lay out theoretical concepts and applications of fuzzy set theory and their impact on areas such as enhancement, segmentation, filtering, edge detection, content-based image retrieval, pattern recognition, and clustering. They describe all components of fuzzy, detailing preprocessing, threshold detection, and match-based segmentation. Minimize Processing Errors Using Dynamic Fuzzy Set Theory This book serves as a primer on MATLAB and demonstrates how to implement it in fuzzy image processing methods. It illustrates how the code can be used to improve calculations that help prevent or deal with imprecision—whether it is in the grey level of the image, geometry of an object, definition of an object’s edges or boundaries, or in knowledge representation, object recognition, or image interpretation. The text addresses these considerations by applying fuzzy set theory to image thresholding, segmentation, edge detection, enhancement, clustering, color retrieval, clustering in pattern recognition, and other image processing operations. Highlighting key ideas, the authors present the experimental results of their own new fuzzy approaches and those suggested by different authors, offering data and insights that will be useful to teachers, scientists, and engineers, among others.

## MATLAB Recipes for Earth Sciences

Author | : Martin H. Trauth |

Publsiher | : Springer Nature |

Total Pages | : 517 |

Release | : 2020 |

ISBN 10 | : 3030384411 |

ISBN 13 | : 9783030384418 |

Language | : EN, FR, DE, ES & NL |

**MATLAB Recipes for Earth Sciences Book Review:**

MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison's log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.

## A MatLab Companion to Complex Variables

Author | : A. David Wunsch |

Publsiher | : CRC Press |

Total Pages | : 344 |

Release | : 2018-09-03 |

ISBN 10 | : 1498755704 |

ISBN 13 | : 9781498755702 |

Language | : EN, FR, DE, ES & NL |

**A MatLab Companion to Complex Variables Book Review:**

This book is intended for someone learning functions of a complex variable and who enjoys using MATLAB. It will enhance the exprience of learning complex variable theory and will strengthen the knowledge of someone already trained in ths branch of advanced calculus. ABET, the accrediting board for engineering programs, makes it clear that engineering graduates must be skilled in the art of programming in a language such as MATLAB®. Supplying students with a bridge between the functions of complex variable theory and MATLAB, this supplemental text enables instructors to easily add a MATLAB component to their complex variables courses. A MATLAB® Companion to Complex Variables provides readers with a clear understanding of the utility of MATLAB in complex variable calculus. An ideal adjunct to standard texts on the functions of complex variables, the book allows professors to quickly find and assign MATLAB programming problems that will strengthen students’ knowledge of the language and concepts of complex variable theory. The book shows students how MATLAB can be a powerful learning aid in such staples of complex variable theory as conformal mapping, infinite series, contour integration, and Laplace and Fourier transforms. In addition to MATLAB programming problems, the text includes many examples in each chapter along with MATLAB code. Fractals, the most recent interesting topic involving complex variables, demands to be treated with a language such as MATLAB. This book concludes with a Coda, which is devoted entirely to this visually intriguing subject. MATLAB is not without constraints, limitations, irritations, and quirks, and there are subtleties involved in performing the calculus of complex variable theory with this language. Without knowledge of these subtleties, engineers or scientists attempting to use MATLAB for solutions of practical problems in complex variable theory suffer the risk of making major mistakes. This book serves as an early warning system about these pitfalls.

## Learning MATLAB

Author | : Walter Gander |

Publsiher | : Springer |

Total Pages | : 149 |

Release | : 2015-11-21 |

ISBN 10 | : 3319253271 |

ISBN 13 | : 9783319253275 |

Language | : EN, FR, DE, ES & NL |

**Learning MATLAB Book Review:**

This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014. Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions.