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14th PCC, Seville, 24-28 June 2002 Session 09, Paper 5, Page 1 APPLICATION OF NEWTON METHODS AND PARALLEL PROCESSING TO THE SOLUTION OF ELECTRIC SYSTEMS Norberto Garcia Enrique ACH Aurelio Medina
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Application of Newton methods is a numerical analysis technique used to find the roots of a mathematical function or to minimize a function by iterative approximation.
Newton methods are typically used by mathematicians, engineers, and scientists to solve complex mathematical equations and optimize various processes.
To fill out an application using Newton methods, you need to specify the initial guess, the function you want to find the root(s) for, and the desired accuracy. Then, you can apply the iterative Newton's method algorithm to approximate the roots.
The purpose of applying Newton methods is to accurately solve mathematical equations or find the minimum/maximum of a function. It is widely used in various fields, such as physics, engineering, economics, and computer science.
The information that needs to be reported when applying Newton methods includes the function or equation, initial guess(es), desired accuracy, and possibly any specific constraints or boundaries.
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