MATLAB Engineer's Toolkit: Volume 2 - Engineering Mathematics, Data Analysis, and Economics: MATLAB® Functions for Linear Algebra, Numerical Methods, ... Economics, General Utilities

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Bol MATLAB Engineer's Toolkit, Volume 2: Engineering Mathematics, Data Analysis, and Economics presents 59 ready-to-use MATLAB(R) functions for solving mathematical, numerical, statistical, data-analysis, and engineering-economic problems. Written for engineering students, instructors, researchers, and practicing engineers, the book covers algebra, vectors and matrices, numerical methods, descriptive statistics, error and uncertainty, experimental-data analysis, engineering economics, and general engineering utilities. Functions include systems of linear equations, matrix operations, eigenvalues and eigenvectors, interpolation, numerical differentiation and integration, root-finding methods, curve fitting, regression, statistical measures, uncertainty propagation, correlation, data normalization, net present value, payback analysis, depreciation, and many other useful engineering calculations. Each topic begins with the underlying equations and variable definitions, followed by concise MATLAB code, a clear explanation, and a practical numerical example. The result is a useful computational reference that helps readers understand the mathematics behind the calculations while developing a reusable MATLAB toolkit for engineering analysis, data processing, and technical decision-making.

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MATLAB Engineer's Toolkit, Volume 2: Engineering Mathematics, Data Analysis, and Economics presents 59 ready-to-use MATLAB(R) functions for solving mathematical, numerical, statistical, data-analysis, and engineering-economic problems. Written for engineering students, instructors, researchers, and practicing engineers, the book covers algebra, vectors and matrices, numerical methods, descriptive statistics, error and uncertainty, experimental-data analysis, engineering economics, and general engineering utilities. Functions include systems of linear equations, matrix operations, eigenvalues and eigenvectors, interpolation, numerical differentiation and integration, root-finding methods, curve fitting, regression, statistical measures, uncertainty propagation, correlation, data normalization, net present value, payback analysis, depreciation, and many other useful engineering calculations. Each topic begins with the underlying equations and variable definitions, followed by concise MATLAB code, a clear explanation, and a practical numerical example. The result is a useful computational reference that helps readers understand the mathematics behind the calculations while developing a reusable MATLAB toolkit for engineering analysis, data processing, and technical decision-making.


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Merk Book Bound Press
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