A general strategy for designing seamless multiscale methods
We present a new general framework for designing multiscale methods. Compared with previous work such as Brandts systematic up-scaling, the heterogeneous multiscale method (HMM) and the equation-free approach, this new framework has the distinct feature that it does not require reinitializing the microscale model at each macro time step or each macro iteration step. In the new strategy, the macro- and micro-models evolve simultaneously using different time steps (and therefore different clocks), and they exchange data at every step. The micro-model uses its own appropriate time step. The macro-model runs at a slower pace than required by accuracy and stability considerations for the macroscale dynamics, in order for the micro-model to relax. Examples are discussed and application to modeling complex fluids is presented.
seamless multiscale method complex fluids error estimates