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1

Ferreira, Antonio J. M., and Nicholas Fantuzzi. MATLAB Codes for Finite Element Analysis. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47952-7.

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2

Kaveh, Ali, and Taha Bakhshpoori. Metaheuristics: Outlines, MATLAB Codes and Examples. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04067-3.

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3

Magnetics, dielectrics, and wave propagation with MATLAB codes. Boca Raton: CRC Press, 2011.

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4

Ferreira, A. J. M. MATLAB codes for finite element analysis: Solids and structures. [Dordrecht]: Springer Science & Business Media, 2009.

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5

MATLAB codes for finite element analysis: Solids and structures. [Dordrecht]: Springer Science & Business Media, 2009.

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6

A practical guide to error-control coding using MATLAB. Boston: Artech House, 2010.

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7

Kaveh, Ali, and Taha Bakhshpoori. Metaheuristics: Outlines, MATLAB Codes and Examples. Springer, 2019.

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8

MATLAB Codes for Finite Element Analysis. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9200-8.

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9

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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10

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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11

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. CRC Press, 2010. http://dx.doi.org/10.1201/b17374.

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12

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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13

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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14

Khatib, Tamer, and Wilfried Elmenreich. Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes. Wiley & Sons, Limited, John, 2016.

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15

Khatib, Tamer, and Wilfried Elmenreich. Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes. Wiley & Sons, Incorporated, John, 2016.

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16

Khatib, Tamer, and Wilfried Elmenreich. Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes. Wiley & Sons, Incorporated, John, 2016.

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17

Ferreira, A. J. M. MATLAB Codes for Finite Element Analysis: Solids and Structures. Springer, 2014.

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18

Ferreira, Antonio J. M., and Nicholas Fantuzzi. MATLAB Codes for Finite Element Analysis: Solids and Structures. Springer International Publishing AG, 2021.

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19

Ferreira, Antonio J. M., and Nicholas Fantuzzi. MATLAB Codes for Finite Element Analysis: Solids and Structures. Springer, 2020.

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20

Hajiabbas, Mahmoud Pesaran, and Behnam Mohammadi-Ivatloo. Optimization of Power System Problems: Methods, Algorithms and MATLAB Codes. Springer International Publishing AG, 2021.

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21

Hajiabbas, Mahmoud Pesaran, and Behnam Mohammadi-Ivatloo. Optimization of Power System Problems: Methods, Algorithms and MATLAB Codes. Springer, 2020.

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22

Sun, Yichuang, Fabien Delestre, and Gbenga Owojaiye. Space Time Block Codes with MATLAB for MIMO Wireless Communications. Wiley & Sons, Incorporated, John, 2023.

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23

Sun, Yichuang, Fabien Delestre, and Gbenga Owojaiye. Space Time Block Codes with MATLAB for MIMO Wireless Communications. Wiley & Sons, Limited, John, 2012.

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24

Oosterlee, Cornelis W., and Lech A. Grzelak. Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes. World Scientific Publishing UK Limited, 2019.

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25

Asadi, Farzin. Robust Control of DC-DC Converters: The Kharitonov's Theorem Approach with MATLAB® Codes. Morgan & Claypool Publishers, 2018.

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26

Oosterlee, Cornelis W., and Lech a. Grzelak. Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes. World Scientific Publishing UK Limited, 2019.

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27

Asadi, Farzin. Robust Control of DC-DC Converters: The Kharitonov's Theorem Approach with MATLAB® Codes. Springer International Publishing AG, 2018.

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28

Asadi, Farzin. Robust Control of DC-DC Converters: The Kharitonov's Theorem Approach with MATLAB® Codes. Morgan & Claypool Publishers, 2018.

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29

Hudgins, Jerry, and Farzin Asadi. Robust Control of DC-DC Converters: The Kharitonov's Theorem Approach with MATLAB® Codes. Morgan & Claypool Publishers, 2018.

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30

Harun, Nor Hazlyna, Hamirul ’Aini Hambali, Mohamad Ghozali Hassan, and Khairah Nazurah Karim. Learn by example: MATLAB app design. UUM Press, 2017. http://dx.doi.org/10.32890/9789672064510.

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MATLAB App Designer is a feature that allows MATLAB code to be packaged into an interactive software.The software can be shared on any computer without the trouble of having to install MATLAB or even knowing programming knowledge to be able to operate the software.This books provides hands on approach to guide learners in developing the software from scratch using MATLAB App Designer.It covers a wide variety on standard graphical component (radio button, tables, button, check boxes, sliders and many others) and how to utilize its properties and function in deploying end user software.Source code for all the example program can be studied and understand by student easily.This equips learners with the fundamental and required skills for developing the application on their own. Added that, the example code can be reusable with other case problem or application similar to the hands on example. The key to mastering any application development software is to practice, so that you are familiarize with the components and understand its properties and behavior.In simple word, knowing how each components work is essential. This is where this book benefits learner that needs to develop software application using MATLAB.
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31

Gautschi, Walter. Orthogonal Polynomials. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198506720.001.0001.

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This is the first book on constructive methods for, and applications of orthogonal polynomials, and the first available collection of relevant Matlab codes. The book begins with a concise introduction to the theory of polynomials orthogonal on the real line (or a portion thereof), relative to a positive measure of integration. Topics which are particularly relevant to computation are emphasized. The second chapter develops computational methods for generating the coefficients in the basic three-term recurrence relation. The methods are of two kinds: moment-based methods and discretization methods. The former are provided with a detailed sensitivity analysis. Other topics addressed concern Cauchy integrals of orthogonal polynomials and their computation, a new discussion of modification algorithms, and the generation of Sobolev orthogonal polynomials. The final chapter deals with selected applications: the numerical evaluation of integrals, especially by Gauss-type quadrature methods, polynomial least squares approximation, moment-preserving spline approximation, and the summation of slowly convergent series. Detailed historic and bibliographic notes are appended to each chapter. The book will be of interest not only to mathematicians and numerical analysts, but also to a wide clientele of scientists and engineers who perceive a need for applying orthogonal polynomials.
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32

Colour Gamut Volume Software. Society for Information Display, 2021. http://dx.doi.org/10.55410/bjxb8678.

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The code in this section is written in MATLAB format. It serves as a reference for the calculation of Color Gamut Envelope (Section 5.32), CIELAB Gamut Volume (Section 5.32.1), CIELAB Gamut Intersection (Section 5.32.2) and CIELAB Gamut Ring Diagram (Section 5.32.3). The code is fully functional and can be used directly to calculate Gamut Envelope results. It is intended that the reader can review the implementation contained in this source code to create functioning software in the user’s desired programming language. The code contained here also serves as an official reference to verify code created by the user or obtained elsewhere.
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33

Lie, Knut-Andreas, and Olav Møyner, eds. Advanced Modeling with the MATLAB Reservoir Simulation Toolbox. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781009019781.

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Many leading experts contribute to this follow-up to An Introduction to Reservoir Simulation using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). It introduces more advanced functionality that has been recently added to the open-source MRST software. It is however a self-contained introduction to a variety of modern numerical methods for simulating multiphase flow in porous media, with applications to geothermal energy, chemical enhanced oil recovery (EOR), flow in fractured and unconventional reservoirs, and in the unsaturated zone. The reader will learn how to implement new models and algorithms in a robust, efficient manner. A large number of numerical examples are included, all fully equipped with code and data so that the reader can reproduce the results and use them as a starting point for their own work. Like the original textbook, this book will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods.
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34

Pavlovskis, Pēteris. Analysis of Two Actual Problems of Interlaminar Fracture Assessment of Layered Composite. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228148.

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Two types of specimens were studied based on applying the nonlinear theory of flexible plates to obtain the interlaminar fracture toughness of layered composites. For a specimen of the thin sub-layer type, a theoretical solution was obtained in relation to the determination of the interlaminar fracture toughness for a mixed II/I mode. The fundamental possibility of using this solution in test practice was confirmed. The application of the nonlinear theory of flexible plates to the well-known standard specimen of the double-cantilever beam (DCB) was studied in more detail. A theoretical solution was obtained, an iterative algorithm for processing test results based on MATLAB code was developed, highly flexible glass fiber reinforced polymer (GFRP) specimens were tested and their comparison with the results of processing according to the ASTM D 5528-01 standard with correction of the linear solution was given.
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