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Books on the topic 'Matlab code'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Ramamurthy, Karthikeyan N. MATLAB software for the code excited linear prediction algorithm: The Federal Standard, 1016. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

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2

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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3

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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4

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

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5

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

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6

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

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7

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

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8

Laer, Sven Van. Image-Processing Speed Improvement: Translating Matlab to C Code Using ANTLR. VDM Verlag Dr. Müller, 2010.

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9

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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10

Fortuna, Luigi, Mattia Frasca, Lucia Valentina Gambuzza, and Arturo Buscarino. Synchronization in Networks of Nonlinear Circuits: Essential Topics with MATLAB® Code. Springer, 2018.

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11

Embedded Image Processing on the TMS320C6000 DSP: Examples in Code Composer Studio and MATLAB. Springer, 2006.

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12

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

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13

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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14

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

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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

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

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17

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

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18

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

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19

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

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20

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

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21

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

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22

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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