The MathWorks, Inc., 2016. — 196 p. — ISBN: 978-1-537-31044-2. Simulink is a block diagram environment for multidomain simulation and Model-Based Design. It supports system-level design, simulation, automatic code generation, and continuous test and verification of embedded systems. Simulink provides a graphical editor, customizable block libraries, and solvers for modeling and...
2016. — 185 p. — ASIN: B01KBDU5PK. Simulink is a block diagram environment for multidomain simulation and Model-Based Design. It supports system-level design, simulation, automatic code generation, and continuous test and verification of embedded systems. Simulink provides a graphical editor, customizable block libraries, and solvers for modeling and simulating dynamic systems....
2nd ed. — Stockholm, 2015. — 118 p. — ISBN13: 978-87-403-0283-7. MatLAB is one of the most popular programs for quantitative analysis. This book introduces you to the basics of MatLAB without requiring any previous experience of programming.Through a series of easily followed examples, the book builds your knowledge step-by-step so that, at the end, you will master all the...
New York: Chapman and Hall/CRC, 2011. — 690 p. For a variety of reasons, the MatLAB-Java interface was never fully documented. This is really quite unfortunate: Java is one of the most widely used programming languages, having many times the number of programmers and programming resources as MatLAB. Also unfortunate is the popular claim that while MatLAB is a fine programming...
CRC Press, Taylor & Francis Group, 2015. — xvi, 735 p. — ISBN13: 978-1-4822-1130-6. The MatLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MatLAB is just too slow. Accelerating MatLAB Performance aims to correct this perception by describing multiple ways to...
Fourth Edition. — Amsterdam: Elsevier, 2016. — 598 p. 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...
New York: Chapman and Hall/CRC, 2019. — 402 p. The purpose of this handbook is to allow users to learn and master the mathematics software package MatLAB, as well as to serve as a quick reference to some of the most used instructions in the package. A unique feature of this handbook is that it can be used by the novice and by experienced users alike. For experienced users, it...
Oldenburg: De Gruyter Oldenbour, 2022. — 316 p. This book explains biosignal processing principles and their practical applications using MatLAB. Topics include the emergence of biosignals, electrophysiology, analog, and digital biosignal processing, discretization, electrodes, time and frequency analysis, and analog and digital filters. Introduction to Biosignal Processing....
3rd Edition. — Academic Press, 2020. — 820 p. — ISBN: 978-0-12-814204-2. Signals and Systems Using MatLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a mathematically dry subject. Historical notes and common mistakes combined with applications in controls, communications and signal processing help students understand and...
Boston: The MIT Press, 2017. — 572 p. MatLAB for Brain and Cognitive Scientists teaches brain scientists how to program in MatLAB, with a focus on applications most commonly used in neuroscience and psychology. It takes readers from beginning to intermediate and advanced levels of MatLAB programming, helping them gain real expertise in applications that they will use in their...
Allen B. Downey, 2008. - 147 p. Most books that use MatLAB are aimed at readers who know how to program. This book is for people who have never programmed before. As a result, the order of presentation is unusual. The book starts with scalar values and works up to vectors and matrices very gradually. This approach is good for beginning programmers, because it is hard to...
SIAM, 2009. - 97 p. This engaging book is a concise introduction to the MatLAB programming language for students and professionals in mathematics, science, and engineering. It can be used as the primary text for a short course, as a companion textbook for a numerical computing course, or for self-study. The presentation is designed to guide a new MatLAB user through the basics...
New Age International (P) Ltd., 2009. — 358 p. — ISBN13: 978-81-224-2539-0. Engineering system dynamics is a multidisciplinary subject and presents a system dynamics methodology based on mathematical fundamentals and stresses physical system modeling. The classical methods of control systems and vibration analysis engineering are covered: Matrix analysis, Laplace transforms and...
Learning MatLAB: A Problem Solving Approach New York: Springer, 2015. - 149 p. 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...
6th edition. — Hoboken: Wiley, 2017. — 411 p. MatLAB is a very popular language for technical computing used by students, engineers, and scientists in universities, research institutes, and industries all over the world. The software is popular because it is powerful and easy to use. For university freshmen it can be thought of as the next tool to use after the graphic...
New York: Springer, 2013. — 600 p. This book provides readers with a solid set of diversified and essential tools for the theoretical modeling and control of complex robotic systems, as well as for digital human modeling and realistic motion generation. Following a comprehensive introduction to the fundamentals of robotic kinematics, dynamics and control systems design, the...
7th Edition. — Academic Press, 2019. — 406 p. — ISBN: 978-0-08-102997-8. Essential MatLAB for Engineers and Scientists, Seventh Edition, provides a concise, balanced overview of MatLAB’s functionality, covering both fundamentals and applications. The essentials are illustrated throughout, featuring complete coverage of the software’s windows and menus. Program design and...
2nd Edition. — Society for Industrial and Applied Mathematics, Philadelphia, 2005. — 386 p. This book has two purposes. First, it aims to give a lively introduction to the most popular features of MatLAB, covering all that most users will ever need to know. We assume no prior knowledge of MatLAB, but the reader is expected to be familiar with the basics of programming and with...
Third Edition. — CRC Press, 2018. — 815 p. — ISBN13: 978-1-4987-8777-2. Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems. The book presents an integrated treatment of continuous simulation with all the background and essential prerequisites in one setting. It features updated chapters and two new sections on...
McGraw-Hili, 2009. 538 p. ISBN: 0071606130 Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language, Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single...
Butterworth-Heinemann, 2019. — 232 p. — ISBN: 978-0-12-804229-8, 012804229X. Machine Design Analysis with MatLAB is a highly practical guide to the fundamental principles of machine design which covers the static and dynamic behavior of engineering structures and components. MatLAB has transformed the way calculations are made for engineering problems by computationally...
SLCM1114V1. MathWorks, Inc., 2014. This Training Course Notebook, along with other Training Course Examples and Exercises, shall at all times remain the intellectual property of The MathWorks, Inc. The MathWorks, Inc. reserves all rights in these materials. No part of these materials may be photocopied, reproduced in any form, or distributed without prior written consent from...
This Training Course Notebook, along with other Training Course Examples and Exercises, shall at all times remain the intellectual property of The MathWorks, Inc. The MathWorks, Inc. reserves all rights in these materials. No part of these materials may be photocopied, reproduced in any form, or distributed without prior written consent from The MathWorks, Inc. The software...
The MathWorks, Inc., 2018. — 2164 p. — ISBN: n/a. Symbolic Math Toolbox provides functions for solving, plotting, and manipulating symbolic math equations. You can create, run, and share symbolic math code using the MatLAB Live Editor. The toolbox provides functions in common mathematical areas such as calculus, linear algebra, algebraic and ordinary differential equations,...
This Training Course Notebook, along with other Training Course Examples and Exercises, shall at all times remain the intellectual property of The MathWorks, Inc. The MathWorks, Inc. reserves all rights in these materials. No part of these materials may be photocopied, reproduced in any form, or distributed without prior written consent from The MathWorks, Inc. The software...
SLBE-G1114V2 Training Course Notebook, MathWorks, Inc., 2014 - 534 p. This Training Course Notebook, along with other Training Course Examples and Exercises, shall at all times remain the intellectual property of The MathWorks, Inc. The MathWorks, Inc. reserves all rights in these materials. No part of these materials may be photocopied, reproduced in any form, or distributed...
2011. — 552 p. What Is Simulink? Creating and Simulating a Model Modeling Discrete Dynamic Systems Modeling Logical Constructs From Algorithm to Model Mixed Signal Models and Solvers Subsystems and Libraries Conditional Subsystems Spectral Analysis and Filter Design Multirate Systems Incorporating External Code Combining Models into Diagrams Automating Modeling Tasks
Cambridge Scholars Publishing, 2019. — 290 p. — ISBN13: 978-1-5275-3849-8. This easy-to-follow guide provides academics and industrial engineers with a state-of-the-art numerical approach to the most frequent technical and economical optimization methods. In an engaging manner, it provides the reader with not only a systematic and comprehensive study, but also with necessary...
Edmonton: Alpha Education Press, 2021. — 334 p. Revolutionary advances in hardware and software technology have made computer aided design and analysis a standard tool in engineering practice. This obviously puts a lot of power in the hands of the end user, in order to use these tools wisely and interpret the results correctly, users are expected to have a sound knowledge of...
SIAM, 2006. - 184 p. This is a lively textbook for an introductory course in numerical methods, MatLAB, and technical computing, with an emphasis on the informed use of mathematical software. The presentation helps readers learn enough about the mathematical functions in MatLAB to use them correctly, appreciate their limitations, and modify them appropriately. The book makes...
New York: Springer, 2017. — 642 p. This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MatLAB...
New Work: CRC Press, Taylor & Francis, 2010. - 552 p. This book presents advanced material in a format that makes it easier to understand, further enhancing its immense value as a teaching tool for engineers and research scientists in academia and industry, as well as students in science and engineering. The book is required reading for engineering and science students,...
Springer, 2003. - 257 p. This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer solution of certain classes of mathematical problems are illustrated. The authors show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions by polynomials and construct accurate...
New York: CreateSpace Independent, 2017. — 242 p. Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to...
New York: Springer, 2022. — 424 p. For many engineering tasks, extensive computations or visualizations are required. The well-established MatLAB and Octave (a very similar open-source software) are excellent tools for modeling, computing, and visualization. This book will help the reader to acquire basic knowledge and elementary programming skills with Octave/MatLAB. Basic...
SIAM, 2001. — 186 p. This textbook presents some of the fundamental ideas and techniques of spectral methods. It is aimed at anyone who has finished a numerical analysis course and is familiar with the basics of applied ordinary and partial differential equations. You will see that a remarkable range of problems can be solved to high precision by a few lines of MatLAB in a few...
New York: Apress/Springer, 2019. — 305 p. Apply MatLAB programming to the mathematical modeling of real-life problems from a wide range of topics. This pragmatic book shows you how to solve your programming problems, starting with a brief primer on MatLAB and the fundamentals of the MatLAB programming language. Then, you’ll build fully working examples and computational models...
Prentice Hall, 1996. - 347 p. This book presents a unique approach for one semester numerical methods and numerical analysis courses. Well organized but flexible, the text is brief and clear enough for introductory numerical analysis students to "get their feet wet," yet comprehensive enough in its treatment of problems and applications for higher-level students to develop a...
American Institute of Aeronautics and Astronautics, 2011. — 938 p. — ISBN: 978-1-60086-781-1. Engineering Computations and Modeling in MatLAB(R)/Simulink(R) provides a broad overview of The MathWorks' MatLAB(R)/Simulink(R)/GUIDE development and modeling environment. This textbook shows how to use these software tools effectively in a variety of engineering applications,...
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