Books
This page contains Matlab based Books. To submit a Bookjust go to the Submit Page or simply contact us at advancedmcode@gmail.com .

A Concise Introduction to MATLAB
Written for beginning students in engineering, this book is intended as a introduction to MATLAB technical computing software, and is designed to cover all the major capabilities. The first part of the book provides an overview of MATLAB. Remaining chapters are for reference and provide additional coverage including plotting, programming, statistics, and model building. Exercises are included at the end of each chapter and allow users to test their understanding of the topics covered.
MATLAB is used throughout the book in numerous tutorial lessons and application examples. |
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A Compendium of Partial Differential Equation Models: Method of Lines Analysis with MATLAB
Written for students in the fields of science, engineering, and applied mathematics, this book presents numerical methods and associated MATLAB code for the solution of a spectrum of models expressed as partial differential equations (PDEs). The text presents a detailed presentation of ODE/PDE mathematical models, and includes a line-by-line analysis and solution for computer code associated with model equations. Topics covered include an introduction to the method of lines, Green’s function analysis, linear wave equations, and implementation of time-varying boundary conditions.
MATLAB is used to solve numerous application examples. In addition, a supplemental set of MATLAB code files is available for download. |
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MATLAB Recipes for Earth Sciences, 2e
Written for earth scientists, this book introduces basic methods of data analysis in geosciences using MATLAB. The text briefly describes each method of data analysis and includes practical examples of how MATLAB technical computing software can be applied to various data sets. Topics covered include univariate statistics, bivarite statistics, time-series analysis, signal processing, spatial data, image processing, and multivariate statistics. The revised second edition includes chapters on Blackman-Tukey, Lomb-Scargle, and Wavelet powerspectral analyses, and the statistical analysis of directional data.
MATLAB, Image Processing Toolbox, Mapping Toolbox, Signal Processing Toolbox, Statistics Toolbox, and Wavelet Toolbox software are used to solve numerous examples throughout the book.
In addition, a supplemental set of MATLAB M-files is included on a CD bound in the book.
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Computational Economics
Written for undergraduate and graduate economic students and professional economists, this book demonstrates how to conceptualize economic problems, write them as mathematical models, and represent them in software such as MATLAB so the problems can be solved on the computer. Topics covered include macroeconomics, microeconomics, and finance. MATLAB is introduced and used to solve numerous examples in the book. Optimization Toolbox and Genetic Algorithm and Direct Search Toolbox are also briefly introduced. In addition, a companion set of MATLAB M-files is available for download.
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