AML702 Applied Computational Methods I I T Dc E L H I Lecture 12 Solution of set of simultaneous non-linear equations System of Non-linear Equations • Unlike in linear systems, we obtain curves from simultaneous non-linear equations. I I T D E L H I 2 System of Non-linear Equations I I T Dc E L H I The system of non-linear equations can be expressed as we did in the case of single non-linear equation Newton-Raphson Method for NL equations • I I T D E L H I 4 Recall the N-R method we used earlier based on derivative. Let us first take a 2 equation system to illustrate the method Newton-Raphson Method for 2 NL equations • I I T D E L H I 5 Recall the N-R method we used earlier based on derivative. Let us first take a 2 equation system to illustrate the method Newton-Raphson Method for NL equations • I I T D E L H I 6 Now we can extend this idea of 2 equations to a multi equation system Where [J] is the Jacobian matrix that contains the partial derivatives w.r.t xis System of Non-linear equations • The initial values and the final values of the unknown variable xi are givens as. • The function values at i are expressed as: I I T D E L H I 7 Newton-Raphson NL Equations • I I T • D E L H I 8 • • • Generally Newton-Raphson has speedy quadratic convergence as in the case of single nonlinear equation However, if the initial guesses are not close to the true roots, it may diverge also. It is not possible to employ graphical methods in case of multiequation systems Evaluation of partial derivatives to determine [J] is necessary As accurate initial guesses are necessary for convergence, some slower alternatives to NewtonRaphson method are used.
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