Geodesic
A gradient descent method for solving of one class of nonlinear multiparameter eigenvalue problems
Trudy Instituta matematiki, Tome 22 (2014) no. 1, pp. 122-130 
V. V. Khlobystov; B. M. Podlevskyi; O. S. Yaroshko. A gradient descent method for solving of one class of nonlinear multiparameter eigenvalue problems. Trudy Instituta matematiki, Tome 22 (2014) no. 1, pp. 122-130. http://geodesic.mathdoc.fr/item/TIMB_2014_22_1_a10/
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Voir la notice de l'article provenant de la source Math-Net.Ru

In the real Hilbert space the nonlinear multiparameter spectral problem is put in accordance to the variation problem on zero minimum of some functional. The equivalence of spectral and variation problems is proved. On the base of gradient procedure the numerical algorithm of finding its eigenvalues and eigenvectors is proposed. The local convergence of this algorithm is proved. The practical application of the algorithm is illustrated on example of nonlinear two-parameter eigenvalue problem.

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