On the choice of initial guesses for the Newton-Raphson algorithm
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The initialization of equation-based differential-algebraic system models, and more in general the solution of many engineering and scientific problems, require the solution of systems of nonlinear equations. Newton-Raphson's method is widely used for this purpose; it is very efficient in the computation of the solution if the initial guess is close enough to it, but it can fail otherwise. In this paper, several criteria and an algorithm are introduced to analyze the influence of the initial guess on the evolution of Newton-Raphson's algorithm, and to identify which initial guesses need to be improved in case of convergence failure. In particular, indicators based on first and second derivatives of the residual function are introduced, whose values allow to assess how much the initial guess of each variable can be responsible for the convergence failure. The use of the criteria and algorithm, which are based on rigorously proven results, is successfully demonstrated in two exemplary test cases.
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