Practical MATLAB modeling with Simulink : programming and simulating ordinary and partial differential equations

Employ the essential and hands-on tools and functions of the MATLAB's ordinary differential equations (ODEs) and partial differential equations (PDEs) packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulations and solved pr...

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Bibliographic Details
Main Author: Eshkabilov, Sulaymon L., (Author)
Format: eBook
Language: English
Published: Berkeley, CA : Apress L.P., [2020]
Subjects:
MATLAB.
SIMULINK.
MATLAB
SIMULINK
elektronické knihy
electronic books
ISBN: 9781484257999
1484257995
1484257987
9781484257982
9781484258002
1484258002
Physical Description: 1 online resource (xxii, 473 pages) : charts

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Table of contents

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024 7 |a 10.1007/978-1-4842-5799-9  |2 doi 
024 8 |a 10.1007/978-1-4842-5 
035 |a (OCoLC)1151193376  |z (OCoLC)1152541271  |z (OCoLC)1153163204  |z (OCoLC)1153947521  |z (OCoLC)1154491318  |z (OCoLC)1155210640  |z (OCoLC)1157206508  |z (OCoLC)1161033859  |z (OCoLC)1162723403 
100 1 |a Eshkabilov, Sulaymon L.,  |e author. 
245 1 0 |a Practical MATLAB modeling with Simulink :  |b programming and simulating ordinary and partial differential equations /  |c Sulaymon L. Eshkabilov. 
246 3 0 |a Programming and simulating ordinary and partial differential equations 
264 1 |a Berkeley, CA :  |b Apress L.P.,  |c [2020] 
264 4 |c ©2020 
300 |a 1 online resource (xxii, 473 pages) :  |b charts 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Part I: Ordinary Differential Equations -- Chapter 1: Analytical Solutions for ODEs -- Classifying ODEs -- Example 1 -- Example 2 -- Example 3 -- Analytical Solutions of ODEs -- dsolve() -- Example 4 -- Example 5 -- Example 6 -- Example 7 -- Second-Order ODEs and a System of ODEs -- Example 8 -- Example 9 -- Example 10 -- Example 11 -- Example 12 -- Example 13 -- Laplace Transforms -- Example 14 -- laplace/ilaplace -- Example 15 -- Example 16 -- Example 17 -- Example 18 
505 8 |a Example 19 -- Example 20 -- Example 21 -- References -- Chapter 2: Numerical Methods for First-Order ODEs -- Euler Method -- Example 1 -- Improved Euler Method -- Backward Euler Method -- Example 2 -- Midpoint Rule Method -- Example 3 -- Ralston Method -- Runge-Kutta Method -- Example 4 -- Runge-Kutta-Gill Method -- Runge-Kutta-Fehlberg Method -- Adams-Bashforth Method -- Example 5 -- Milne Method -- Example 6 -- Taylor Series Method -- Example 7 -- Adams-Moulton Method -- Example 8 -- MATLAB's Built-in ODE Solvers -- Example 9 -- The OPTIONS, ODESET, and ODEPLOT Tools of Solvers -- Example 10 
505 8 |a Example 11 -- Simulink Modeling -- Example 12 -- SIMSET -- References -- Chapter 3: Numerical Methods for Second-Order ODEs -- Euler Method -- Example 1 -- Example 2 -- Example 3 -- Example 4 -- Example 5 -- Runge-Kutta Method -- Example 6 -- Example 7 -- Example 8 -- Example 9 -- Example 10 -- Adams-Moulton Method -- Example 11 -- Example 12 -- Simulink Modeling -- Example 13 -- Example 14 -- Example 15 -- Example 16 -- Nonzero Starting Initial Conditions -- Example 17 -- ODEx Solvers -- Example 18 -- Example 19 -- Example 20 -- Example 21 -- diff() -- Example 22 -- Chapter 4: Stiff ODEs 
505 8 |a Example 1 -- Example 2 -- Example 3 -- Example 4 -- Jacobian Matrix -- Example 5 -- Example 6 -- Chapter 5: Higher-Order and Coupled ODEs -- Fourth-Order ODE Problem -- Robertson Problem -- Akzo-Nobel Problem -- HIRES Problem -- Reference -- Chapter 6: Implicit ODEs -- Example 1 -- Example 2 -- Example 3 -- Example 4 -- Example 5 -- Example 6 -- References -- Chapter 7: Comparative Analysis of ODE Solution Methods -- Example 1 -- Drill Exercises -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Exercise 5 -- Exercise 6 -- Exercise 7 -- Exercise 8 -- Exercise 9 -- Exercise 10 
505 8 |a Exercise 11 -- Exercise 12 -- Exercise 13 -- Part II: Boundary Value Problems in Ordinary Differential Equations -- Chapter 8: Boundary Value Problems -- Dirichlet Boundary Condition Problem -- Example 1 -- Example 2 -- Robin Boundary Condition Problem -- Example 3 -- Sturm-Liouville Boundary Value Problem -- Example 4 -- Stiff Boundary Value Problem -- Example 5 -- References -- Drill Exercises -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Exercise 5 -- Exercise 6 -- Exercise 7 -- Exercise 8 -- Exercise 9 -- Exercise 10 -- Exercise 11 -- Exercise 12 -- Exercise 13 
500 |a Part III: Applications of Ordinary Differential Equations 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Employ the essential and hands-on tools and functions of the MATLAB's ordinary differential equations (ODEs) and partial differential equations (PDEs) packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulations and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling of more difficult, complex problems that involve the use of ODEs and PDEs. Youll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving more complex engineering and scientific computing problems that require and use differential equations. Practical MATLAB Modeling with Simulink explains various practical issues of programming and modelling. 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 How to model more complex problems using MATLAB and Simulink Gain the programming and modeling essentials of MATLAB using ODEs and PDEs How to program and use numerical methods to solve 1st and 2nd order ODEs How to program and solve stiff, higher order, coupled and implicit ODEs How to program and use numerical methods to solve 1st and 2nd order linear PDEs How to program and solve stiff, higher order, coupled and implicit PDEs. 
590 |a Knovel  |b Knovel (All titles) 
630 0 0 |a MATLAB. 
630 0 0 |a SIMULINK. 
630 0 7 |a MATLAB  |2 fast 
630 0 7 |a SIMULINK  |2 fast 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Eshkabilov, Sulaymon L.  |t Practical MATLAB Modeling with Simulink : Programming and Simulating Ordinary and Partial Differential Equations.  |d Berkeley, CA : Apress L.P., ©2020  |z 9781484257982 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPMATLA07/practical-matlab-modeling?kpromoter=marc  |y Full text 

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