In this paper we analyze a generalization of the method of Successive Orthogonal Projections (S.O.P.) for solving nonlinear simultaneous equations. We prove a local linear convergence theorem under mild assumptions on the Jacobian of the system. A globally convergent S.O.P. type method is also introduced. We comment some numerical experiences. © 1986 Instituto di Elaborazione della Informazione del CNR.2329310
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International audienceConsider a nonlinear operator equation x −K(x) = f, where K is a Urysohn integ...
Solving systems of nonlinear equations is a relatively complicated problem for which a number of dif...
The inverse Column-Updating method is a secant algorithm for solving nonlinear systems of equations ...
AbstractIn this paper we introduce an acceleration procedure for a block version of the generalizati...
AbstractStationary linear iteration methods are used to obtain generalized solutions for simultaneou...
When the Jacobian of a nonlinear system of equation is fully available, the main drawback for the ap...
When the Jacobian of a nonlinear system of equations is fully available, the main drawback for the a...
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We introduce a new algorithm for solving nonlinear simultaneous equations, which is a combination of...
AbstractWe analyze iterative processes of type xk+1 = xk − π(xk, Ek)F(xk) for solving F(x) = 0, F:Rn...
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We consider a block version of the Nonlinear Projection Method under an optimal control. This method...
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We describe an implementation of a generalization of Brent's method for solving systems of nonlinear...
International audienceConsider a nonlinear operator equation x −K(x) = f, where K is a Urysohn integ...
Solving systems of nonlinear equations is a relatively complicated problem for which a number of dif...
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