{"product_id":"applied-numerical-methods-using-matlab-9781119626800","title":"Applied Numerical Methods Using MATLAB","description":"\u003cp\u003e • Author(s): Won Y. Yang\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Mathematical Analysis\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\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®\u003c\/sup\u003e \u003c\/p\u003e \u003cp\u003eThis accessible book makes use of MATLAB\u003csup\u003e®\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®\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  *Provides examples and problems of solving electronic circuits and neural networks *Includes new sections on adaptive filters, recursive least-squares estimation, Bairstow's method for a polynomial equation, and more *Explains Mixed Integer Linear Programing (MILP) and DOA (Direction of Arrival) estimation with eigenvectors *Aimed at students who do not like and\/or do not have time to derive and prove mathematical results  \u003cp\u003e\u003ci\u003eApplied Numerical Methods Using MATLAB\u003csup\u003e®\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","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45201845190807,"sku":"9781119626800","price":19434.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781119626800.webp?v=1767916266","url":"https:\/\/atlanticbooks.com\/products\/applied-numerical-methods-using-matlab-9781119626800","provider":"Atlantic Books","version":"1.0","type":"link"}