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\u003cp\u003e\u003cb\u003eThis new edition provides an updated approach for students, engineers, and researchers to apply numerical methods for solving problems using MATLAB\u003c/b\u003e\u003csup\u003e\u0026reg;\u003c/sup\u003e\u0026nbsp;\u003c/p\u003e \u003cp\u003eThis accessible book makes use of MATLAB\u003csup\u003e\u0026reg;\u003c/sup\u003e software to teach the fundamental concepts for applying numerical methods to solve practical engineering and/or science problems. It presents programs in a complete form so that readers can run them instantly with no programming skill, allowing them to focus on understanding the mathematical manipulation process and making interpretations of the results.\u003c/p\u003e \u003cp\u003e\u003ci\u003eApplied Numerical Methods Using MATLAB\u003csup\u003e\u0026reg;\u003c/sup\u003e, Second Edition\u003c/i\u003e begins with an introduction to MATLAB usage and computational errors, covering everything from input/output of data, to various kinds of computing errors, and on to parameter sharing and passing, and more. The system of linear equations is covered next, followed by a chapter on the interpolation by Lagrange polynomial. The next sections look at interpolation and curve fitting, nonlinear equations, numerical differentiation/integration, ordinary differential equations, and optimization. Numerous methods such as the Simpson, Euler, Heun, Runge-kutta, Golden Search, Nelder-Mead, and more are all covered in those chapters. The eighth chapter provides readers with matrices and Eigenvalues and Eigenvectors. The book finishes with a complete overview of differential equations.\u003c/p\u003e \u003cul\u003e \u003cli\u003eProvides examples and problems of solving electronic circuits and neural networks\u003c/li\u003e \u003cli\u003eIncludes new sections on adaptive filters, recursive least-squares estimation, Bairstow's method for a polynomial equation, and more\u003c/li\u003e \u003cli\u003eExplains Mixed Integer Linear Programing (MILP) and DOA (Direction of Arrival) estimation with eigenvectors\u003c/li\u003e \u003cli\u003eAimed at students who do not like and/or do not have time to derive and prove mathematical results\u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003ci\u003eApplied Numerical Methods Using MATLAB\u003csup\u003e\u0026reg;\u003c/sup\u003e, Second Edition\u003c/i\u003e is an excellent text for students who wish to develop their problem-solving capability without being involved in details about the MATLAB codes. It will also be useful to those who want to delve deeper into understanding underlying algorithms and equations.\u003c/p\u003e |
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