A forward/backward pair of nonlinear Markov processes, swapped with a Metropolis rule, yields a Monte Carlo sampler for eigenfunctions with unknown eigenvalue.
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Particle exchange Monte Carlo methods for eigenfunction and related nonlinear problems
A forward/backward pair of nonlinear Markov processes, swapped with a Metropolis rule, yields a Monte Carlo sampler for eigenfunctions with unknown eigenvalue.