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We give a survey on eta invariants including methods of computation and applications in differential topology.
The present paper proposes an adaptive biasing potential for the computation of free energy landscapes. It is motivated by statistical learning arguments and unifies the tasks of biasing the molecula...
Here we construct an algorithm based on the minimisation of data by using a compressed matrix for parallel matrix computations. The idea is to minimise the communication between master and slave by el...
In this paper introduces a rule to drop the Monte Carlo computation when the accuracy of the Monte Carlo computation reaches to the amount of error which is planned in the beginning of the computation...
In this paper we consider the rˆole that numerical computationsin particular Galerkin approximationscan play in problems modelled by the 3d Navier-Stokes equations, for which no rigorous pr...

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