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Focusing on advanced numerical methods, this guide delves into practical techniques for solving systems of equations, including Gauss and Jacobi methods, and explores regression analysis through least squares fitting. It also addresses elliptic covariance and maximum likelihood applications, alongside the derivation of key formulas to enhance understanding. Aimed at students, the book seeks to foster interest and motivation in mastering the fundamentals of numerical methods applied in scientific contexts.
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Numerical Solution Systems of Equations and Least Squares Method, Giovanni Alcocer
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- 2022
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