Matlab And Simulink A Basic Understanding For Engineers
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Matlab And Simulink For Engineers
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Author : Agam Kumar Tyagi
language : en
Publisher:
Release Date : 2011
Matlab And Simulink For Engineers written by Agam Kumar Tyagi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
The Essential Matlab Simulink For Engineers And Scientists
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Author : Ogbonnaya Inya Okoro
language : en
Publisher:
Release Date : 2012
The Essential Matlab Simulink For Engineers And Scientists written by Ogbonnaya Inya Okoro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Engineering mathematics categories.
What Every Engineer Should Know About Matlab And Simulink
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Author : Adrian B. Biran
language : en
Publisher: CRC Press
Release Date : 2010-07-20
What Every Engineer Should Know About Matlab And Simulink written by Adrian B. Biran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-20 with Mathematics categories.
Using examples from mathematics, mechanical and electrical engineering, and control and signal processing, this book provides an introduction to MATLAB and Simulink and examines the advantages and limitations of both. The author demonstrates how to visualize the results of calculations in various kinds of graphical representations, how to write useful script files and functions for solving specific problems, how to avoid disastrous, computational errors, and how to insert calculations and graphs into technical reports produced by either MS Word or LaTeX. Companion software with functions and script files are available online.
Matlab Simulink Essentials Matlab Simulink For Engineering Problem Solving And Numerical Analysis
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Author : Sulaymon L. Eshkabilov
language : en
Publisher: Lulu.com
Release Date : 2016-09-30
Matlab Simulink Essentials Matlab Simulink For Engineering Problem Solving And Numerical Analysis written by Sulaymon L. Eshkabilov and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-30 with Technology & Engineering categories.
"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.
Essential Matlab For Scientists And Engineers
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Author : Brian D. Hahn
language : en
Publisher: Butterworth-Heinemann
Release Date : 2002
Essential Matlab For Scientists And Engineers written by Brian D. Hahn and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
"This completely revised new edition is based on the lastest 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."--Jacket.
Matlab For Mechanical Engineers
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Author : Rao V. Dukkipati
language : en
Publisher:
Release Date : 2009
Matlab For Mechanical Engineers written by Rao V. Dukkipati and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Automatic control categories.
Presents an introduction to MATLAB basics along with MATLAB commands. This book includes computer aided design and analysis using MATLAB with the Symbolic Math Tool box and the Control System Tool box. It intends to improve the programming skills of students using MATLAB environment and to use it as a tool in solving problems in engineering.
Matlab Programming For Biomedical Engineers And Scientists
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Author : Andrew P. King
language : en
Publisher: Academic Press
Release Date : 2017-06-14
Matlab Programming For Biomedical Engineers And Scientists written by Andrew P. King and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-14 with Technology & Engineering categories.
MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. This book explains the principles of good programming practice, while demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineer, biomedical scientist, and medical researcher with little or no computer programming experience, it is an excellent resource for learning the principles and practice of computer programming using MATLAB. This book enables the reader to: - Analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs - Implement a structured program design in MATLAB, making good use of incremental development approaches - Write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types - Write MATLAB code to read in medical data from files and write data to files - Write MATLAB code that is efficient and robust to errors in input data - Write MATLAB code to analyze and visualize medical data, including imaging data - Many real world biomedical problems and data show the practical application of programming concepts - Two whole chapters dedicated to the practicalities of designing and implementing more complex programs - An accompanying website containing freely available data and source code for the practical code examples, activities, and exercises in the book - For instructors, there are extra teaching materials including a complete set of slides, notes for a course based on the book, and course work suggestions
Introduction To Matlab For Engineers And Scientists
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Author : Sandeep Nagar
language : en
Publisher: Apress
Release Date : 2017-11-27
Introduction To Matlab For Engineers And Scientists written by Sandeep Nagar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-27 with Computers categories.
Familiarize yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting and working with files, numerical computation formalism, and the primary concepts of approximations. Introduction to MATLAB is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Apply sample code to your engineering or science problems Work with MATLAB arrays, functions, and loops Use MATLAB’s plotting functions for data visualization Solve numerical computing and computational engineering problems with a MATLAB case study Who This Book Is For Engineers, scientists, researchers, and students who are new to MATLAB. Some prior programming experience would be helpful but not required.
Engineering Mathematics With Matlab
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Author : Won Y. Yang et. al
language : en
Publisher: Won Y. Yang
Release Date : 2019-02-01
Engineering Mathematics With Matlab written by Won Y. Yang et. al and has been published by Won Y. Yang this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-01 with Antiques & Collectibles categories.
Chapter 1: Vectors and Matrices 1.1 Vectors 1.1.1 Geometry with Vector 1.1.2 Dot Product 1.1.3 Cross Product 1.1.4 Lines and Planes 1.1.5 Vector Space 1.1.6 Coordinate Systems 1.1.7 Gram-Schmidt Orthonolization 1.2 Matrices 1.2.1 Matrix Algebra 1.2.2 Rank and Row/Column Spaces 1.2.3 Determinant and Trace 1.2.4 Eigenvalues and Eigenvectors 1.2.5 Inverse of a Matrix 1.2.6 Similarity Transformation and Diagonalization 1.2.7 Special Matrices 1.2.8 Positive Definiteness 1.2.9 Matrix Inversion Lemma 1.2.10 LU, Cholesky, QR, and Singular Value Decompositions 1.2.11 Physical Meaning of Eigenvalues/Eigenvectors 1.3 Systems of Linear Equations 1.3.1 Nonsingular Case 1.3.2 Undetermined Case - Minimum-Norm Solution 1.3.3 Overdetermined Case - Least-Squares Error Solution 1.3.4 Gauss(ian) Elimination 1.3.5 RLS (Recursive Least Squares) Algorithm Problems Chapter 2: Vector Calculus 2.1 Derivatives 2.2 Vector Functions 2.3 Velocity and Acceleration 2.4 Divergence and Curl 2.5 Line Integrals and Path Independence 2.5.1 Line Integrals 2.5.2 Path Independence 2.6 Double Integrals 2.7 Green's Theorem 2.8 Surface Integrals 2.9 Stokes' Theorem 2.10 Triple Integrals 2.11 Divergence Theorem Problems Chapter 3: Ordinary Differential Equation 3.1 First-Order Differential Equations 3.1.1 Separable Equations 3.1.2 Exact Differential Equations and Integrating Factors 3.1.3 Linear First-Order Differential Equations 3.1.4 Nonlinear First-Order Differential Equations 3.1.5 Systems of First-Order Differential Equations 3.2 Higher-Order Differential Equations 3.2.1 Undetermined Coefficients 3.2.2 Variation of Parameters 3.2.3 Cauchy-Euler Equations 3.2.4 Systems of Linear Differential Equations 3.3 Special Second-Order Linear ODEs 3.3.1 Bessel's Equation 3.3.2 Legendre's Equation 3.3.3 Chebyshev's Equation 3.3.4 Hermite's Equation 3.3.5 Laguerre's Equation 3.4 Boundary Value Problems Problems Chapter 4: Laplace Transform 4.1 Definition of the Laplace Transform 4.1.1 Laplace Transform of the Unit Step Function 4.1.2 Laplace Transform of the Unit Impulse Function 4.1.3 Laplace Transform of the Ramp Function 4.1.4 Laplace Transform of the Exponential Function 4.1.5 Laplace Transform of the Complex Exponential Function 4.2 Properties of the Laplace Transform 4.2.1 Linearity 4.2.2 Time Differentiation 4.2.3 Time Integration 4.2.4 Time Shifting - Real Translation 4.2.5 Frequency Shifting - Complex Translation 4.2.6 Real Convolution 4.2.7 Partial Differentiation 4.2.8 Complex Differentiation 4.2.9 Initial Value Theorem (IVT) 4.2.10 Final Value Theorem (FVT) 4.3 The Inverse Laplace Transform 4.4 Using of the Laplace Transform 4.5 Transfer Function of a Continuous-Time System Problems 300 Chapter 5: The Z-transform 5.1 Definition of the Z-transform 5.2 Properties of the Z-transform 5.2.1 Linearity 5.2.2 Time Shifting - Real Translation 5.2.3 Frequency Shifting - Complex Translation 5.2.4 Time Reversal 5.2.5 Real Convolution 5.2.6 Complex Convolution 5.2.7 Complex Differentiation 5.2.8 Partial Differentiation 5.2.9 Initial Value Theorem 5.2.10 Final Value Theorem 5.3 The Inverse Z-transform 5.4 Using The Z-transform 5.5 Transfer Function of a Discrete-Time System 5.6 Differential Equation and Difference Equation Problems Chapter 6: Fourier Series and Fourier Transform 6.1 Continuous-Time Fourier Series (CTFS) 6.1.1 Definition and Convergence Conditions 6.1.2 Examples of CTFS 6.2 Continuous-Time Fourier Transform (CTFT) 6.2.1 Definition and Convergence Conditions 6.2.2 (Generalized) CTFT of Periodic Signals 6.2.3 Examples of CTFT 6.2.4 Properties of CTFT 6.3 Discrete-Time Fourier Transform (DTFT) 6.3.1 Definition and Convergence Conditions 6.3.2 Examples of DTFT 6.3.3 DTFT of Periodic Sequences 6.3.4 Properties of DTFT 6.4 Discrete Fourier Transform (DFT) 6.5 Fast Fourier Transform (FFT) 6.5.1 Decimation-in-Time (DIT) FFT 6.5.2 Decimation-in-Frequency (DIF) FFT 6.5.3 Computation of IDFT Using FFT Algorithm 6.5.4 Interpretation of DFT Results 6.6 Fourier-Bessel/Legendre/Chebyshev/Cosine/Sine Series 6.6.1 Fourier-Bessel Series 6.6.2 Fourier-Legendre Series 6.6.3 Fourier-Chebyshev Series 6.6.4 Fourier-Cosine/Sine Series Problems Chapter 7: Partial Differential Equation 7.1 Elliptic PDE 7.2 Parabolic PDE 7.2.1 The Explicit Forward Euler Method 7.2.2 The Implicit Forward Euler Method 7.2.3 The Crank-Nicholson Method 7.2.4 Using the MATLAB Function 'pdepe()' 7.2.5 Two-Dimensional Parabolic PDEs 7.3 Hyperbolic PDES 7.3.1 The Explict Central Difference Method 7.3.2 Tw-Dimensional Hyperbolic PDEs 7.4 PDES in Other Coordinate Systems 7.4.1 PDEs in Polar/Cylindrical Coordinates 7.4.2 PDEs in Spherical Coordinates 7.5 Laplace/Fourier Transforms for Solving PDES 7.5.1 Using the Laplace Transform for PDEs 7.5.2 Using the Fourier Transform for PDEs Problems Chapter 8: Complex Analysis 509 8.1 Functions of a Complex Variable 8.1.1 Complex Numbers and their Powers/Roots 8.1.2 Functions of a Complex Variable 8.1.3 Cauchy-Riemann Equations 8.1.4 Exponential and Logarithmic Functions 8.1.5 Trigonometric and Hyperbolic Functions 8.1.6 Inverse Trigonometric/Hyperbolic Functions 8.2 Conformal Mapping 8.2.1 Conformal Mappings 8.2.2 Linear Fractional Transformations 8.3 Integration of Complex Functions 8.3.1 Line Integrals and Contour Integrals 8.3.2 Cauchy-Goursat Theorem 8.3.3 Cauchy's Integral Formula 8.4 Series and Residues 8.4.1 Sequences and Series 8.4.2 Taylor Series 8.4.3 Laurent Series 8.4.4 Residues and Residue Theorem 8.4.5 Real Integrals Using Residue Theorem Problems Chapter 9: Optimization 9.1 Unconstrained Optimization 9.1.1 Golden Search Method 9.1.2 Quadratic Approximation Method 9.1.3 Nelder-Mead Method 9.1.4 Steepest Descent Method 9.1.5 Newton Method 9.2 Constrained Optimization 9.2.1 Lagrange Multiplier Method 9.2.2 Penalty Function Method 9.3 MATLAB Built-in Functions for Optimization 9.3.1 Unconstrained Optimization 9.3.2 Constrained Optimization 9.3.3 Linear Programming (LP) 9.3.4 Mixed Integer Linear Programing (MILP) Problems Chapter 10: Probability 10.1 Probability 10.1.1 Definition of Probability 10.1.2 Permutations and Combinations 10.1.3 Joint Probability, Conditional Probability, and Bayes' Rule 10.2 Random Variables 10.2.1 Random Variables and Probability Distribution/Density Function 10.2.2 Joint Probability Density Function 10.2.3 Conditional Probability Density Function 10.2.4 Independence 10.2.5 Function of a Random Variable 10.2.6 Expectation, Variance, and Correlation 10.2.7 Conditional Expectation 10.2.8 Central Limit Theorem - Normal Convergence Theorem 10.3 ML Estimator and MAP Estimator 653 Problems
Beginning Matlab And Simulink
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Author : Sulaymon Eshkabilov
language : en
Publisher: Apress
Release Date : 2019-11-28
Beginning Matlab And Simulink written by Sulaymon Eshkabilov and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Computers categories.
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.